Gender and Sex Worksheet

————————————————- Associate Program Material Gender and Sex Worksheet Answer the following questions in 50 to 150 words each. Provide citations for all the sources you use. What is gender? What is sex in biological terms? Are gender and sex the same thing? Explain why or why not? Gender is wheather a person is male or female. Sex in biological terms is the property or quality by which organisms are classified as female or male on the basis of their reproductive organs and functions.Gender and sex are not the same sex refers to the differences of biological and gender describes the characteristics of male and females. How do gender and sex contribute to the concepts and constructions of masculinity and femininity? * Gender and sex contribute to the concepts and constructions of masculinity and femininity in many ways. Gender and sex concepts and constructions of masculinity and feminity of being able to tell the difference between the two. They show them as being completely different like males being the protector and the ladies as being caring and emotional.Do our concepts of gender and sex contribute to the ways we embrace gender and sex in diversity? * Yes, I do feel that our concepts of gender and sex contribute to the ways we embrace gender and sex in diversity. I feel that we look at males in one light and females in another, we all at some point expect men to be the ones that are tough, and brave and look at women as being emotional. When it could be the other way around. Do our concepts of gender and sex contribute to our understanding of sexual orientation? Explain.Yes, I feel that our concepts of gender and sex contribute to our understanding of sexual orientation in many ways. We have a understanding of what each gender is and what they provide, causing us to make a decision on who we want to be with in life. Whether we are Heterosexual: att racted to individuals of the opposite sex, Bisexual: attracted to members of either sex, Homosexual: attracted to individuals of one's own sex. References Debbie Bridges, August 02, 2012, Sexual Orientation, Retrieve from: www. webmd. com Brandon Jones, March 18,2013, Sex and gender distinction, Retrieve from: www. wikipedia. org/wiki/Sex_and_gender_ Gender and Sex Worksheet 1) What is gender? What is sex in biological terms? Are gender and sex the same thing? Explain why or why not? a. Gender is the condition of being female or male and an internal sense of self. Sex in biological terms refers to the physical attributes such as sex chromosomes and hormones. No they are not the same thing even though much of society uses these words interchangeable to hold the same meaning. Gender is what a person most identifies with internally and externally. And sex is how you are born you are either borne a female or a male. 2) How do gender and sex contribute to the concepts and constructions of masculinity and femininity? b. They play apart in many different ways we are born either male or female which is our sex. This determines what role we will fall in to in society. Gender is our internal self which sex we feel we most identify with. We are born in to the construction society has set out for us. Men are the head and women follow behind and this is seen in many aspects of society. Such as the house hold in wages, job advancement, and job opportunity. 3) Do our concepts of gender and sex contribute to the ways we embrace gender and sex in diversity? c. Yes our concepts do affect the way we view gender and sex in diversity. We believe that there is only a right way and a wrong way and if you do not follow society ways than we are viewed and categorized differently. Our views and the views society says are the norm in which we must follow. 4) Do our concepts of gender and sex contribute to our understanding of sexual orientation? Explain. d. Yes our concepts do contribute to our understanding of sexual orientation our concepts of sex in you are born with female organs or male organs by being born in to a certain sex you will take on a certain role society says you should fit in to. You are also to like or be attracted to the opposite sex as you as society says that this is the norm. Gender and Sex Worksheet Associate Program Material Gender and Sex Worksheet Answer the following questions in 50 to 150 words each. Provide citations for all the sources you use. What is gender? What is sex in biological terms? Are gender and sex the same thing? Explain why or why not? Gender is the description or identification of a person as either male or female. In bioloical terms, sex is described as the biological differences between men and women. Gender and sex are not the same thing. Gender describes a person as male or female, which can be determined by the ender in which a person identifies with.For example, a transgendered female is essentially a person that was born a male, but identifies with females. In this particular situation, the person would be considered female from the gender perspective. However, the person is still considered male from the perspective of sex in the bioloical sense. How do gender and sex contribute to the concepts and constructions of masculinity and femininity? Gende r and sex are major contributors to the concepts and constructions of masculinity and femininity in many ways. The biological sex of a person determines how parents and families interact with their children from birth.If the child is a girl, we dress them in pastel colors and buy them dolls. We tend to be more compassionate towards our daughters. If the child is a boy, we dress them in blue and buy them tonka trucks and action figures. We tend to be more active and athletic with our sons. However, if at some point that child finds themselves to identify with the opposite gender, they will exhibit characteristics of that gender (i. e. a male with feminine behaviors and characteristics). Do our concepts of gender and sex contribute to the ways we embrace gender and sex in diversity?I think that our society’s concepts of gender and sex definitely contribute to how we embrace gender and sex. We tend to be less open-minded if a transgendered woman prefers to be addressed as a male and wants to be called by a male name. We are uncomfortable when a male dresses as a female and exhibits feminine behaviors and characteristics. In actuality, we should all accept those for who they are, no matter their gender or sex. Do our concepts of gender and sex contribute to our understanding of sexual orientation? Explain. Our concepts of gender and sex can contribute to our understanding of sexual orientation.It is considered normal to be heterosexual in our society and being gay or lesbian is becoming more acceptable in our society. However, if a transgendered woman, who is biologically a male, chooses to be intimate with a male it is considered to be homosexual behavior. This scenario could go both ways because the transgendered woman considers herself a man being intimate with a woman, which is characteristically heterosexual behavior. I believe that love is universal ans should not be defined as heterosexual or homosexual. People should be with the person that they lov e unconditionally, whether they are male or female. Gender and Sex Worksheet ————————————————- Associate Program Material Gender and Sex Worksheet Answer the following questions in 50 to 150 words each. Provide citations for all the sources you use. What is gender? What is sex in biological terms? Are gender and sex the same thing? Explain why or why not? Gender is wheather a person is male or female. Sex in biological terms is the property or quality by which organisms are classified as female or male on the basis of their reproductive organs and functions.Gender and sex are not the same sex refers to the differences of biological and gender describes the characteristics of male and females. How do gender and sex contribute to the concepts and constructions of masculinity and femininity? * Gender and sex contribute to the concepts and constructions of masculinity and femininity in many ways. Gender and sex concepts and constructions of masculinity and feminity of being able to tell the difference between the two. They show them as being completely different like males being the protector and the ladies as being caring and emotional.Do our concepts of gender and sex contribute to the ways we embrace gender and sex in diversity? * Yes, I do feel that our concepts of gender and sex contribute to the ways we embrace gender and sex in diversity. I feel that we look at males in one light and females in another, we all at some point expect men to be the ones that are tough, and brave and look at women as being emotional. When it could be the other way around. Do our concepts of gender and sex contribute to our understanding of sexual orientation? Explain.Yes, I feel that our concepts of gender and sex contribute to our understanding of sexual orientation in many ways. We have a understanding of what each gender is and what they provide, causing us to make a decision on who we want to be with in life. Whether we are Heterosexual: att racted to individuals of the opposite sex, Bisexual: attracted to members of either sex, Homosexual: attracted to individuals of one's own sex. References Debbie Bridges, August 02, 2012, Sexual Orientation, Retrieve from: www. webmd. com Brandon Jones, March 18,2013, Sex and gender distinction, Retrieve from: www. wikipedia. org/wiki/Sex_and_gender_

Relative age effect occur - Free Essay Example

Sample details Pages: 29 Words: 8584 Downloads: 10 Date added: 2017/06/26 Category Sports Essay Type Argumentative essay Did you like this example? Abstract The purpose of the study was to investigate the performance level at which birth date effects selection for performance pathways in English football, as well as examining whether coaches are currently implementing arrangements to limit the relative age effect. The study comprised of 2450 players from performance levels including community, grass root and academy. The birth dates of each player within every performance level were analysed through the use of statistical tools within Microsoft Excel, with interviews analysed through transcription and the highlighting of recurrent themes. Don’t waste time! Our writers will create an original "Relative age effect occur?" essay for you Create order The sub-groups were viewed by age group, month of birth and the total percentage of players born within each quartile of the selection year to analyse the birth bias within specific performance levels. The statistical data of each sub-group were then collated to view differences in progressing through each performance level. The main results found an over-representation of players born in the first quartile throughout each performance level. The bias within the community and grass root subgroup was 4.1%, with a 39.9% bias towards the eldest players at academy standard. The evidence highlighted that birth date only has significant impact on selection once the academy standard of play is reached, with minimal difference in impact when progressing through inferior performance levels. Coaches in the study showed high awareness of the effect, with implementation of two strategies to reduce the relative age effect being implemented. The two strategies were found to be ineffective in the reduction of the relative age effect, through implementation occurring after selection. To conclude the academy pathway highlighted the most significant bias, with birth date having minimal impact at inferior performance levels. Strategies to reduce the relative age effect are currently ineffective requiring further research into reducing the bias prior to selection. Introduction Aims To investigate the performance level at which birth date may affect selection for performance pathways in English football. To examine if football coaches are making arrangements to limit the Relative age effect in football Research Question: In English football is there a starting point to the relative age effect and if this is the case then how are football coaches currently taking this bias into consideration when working with children at all levels of football.  Ãƒâ€š Rationale Relative age effect is the difference in ages between children in the same age group. An example being, a child born in the start of the selection period in football i.e. 1st September will be 11 months older than a player who falls in the same age group born on the 1st of August. (Barnsley et al, 1992) Throughout the study research has referred to the relative age effect as birth date and birth bias, all meaning the same. The football world is competitive and making sure that your team are developing young athletes to progress into the first team and national team is very important. This has made the selection and development of children an important aspect in youth football. Studies have progressively shown that in football there are children not given the opportunity, due to a simple aspect such as their age. (Brewer et al 1995; Cobley et al 2008; Delorme et al 2010) The research that has previously been carried out has rarely been specified around the English game with on ly a minority being carried out in this area. (Simmons Paull, 2001; Musch Grondin, 2001) The research has predominantly been aimed towards a number of different nations across the world. (Glamser Vincent, 2004; Jimenez, 2008; Delorme et al 2010; Campo et al 2010) The limited amount of research on the English game highlighted an area in which further study could be carried out in order to fully understand the impact the relative age effect has within English football. Correspondingly the research into the affect performance level has on the impact of the relative age effect within English football has been under-represented by preceding research. The research specific to this area often views different nations or sports. (Mujika et al, 2007; Cobley et al, 2009; Till et al, 2010) The knowledge of how performance level could affect selection will allow understanding of where birth bias is present and predominant, furthermore highlighting the level at which change is needed to reduce the relative age effect. The results will be of great value to coaches within the performance level that the relative age effect is most predominant by raising awareness and creating knowledge for change. Preceding research has also viewed how different organisations and football associations have tried to reduce the impact of the relative age effect in different countries. (Helson et al 2000; Vaeyens et al 2003) Although this research has shown how interventions have been made there has not been a study on how the coaches within the football clubs in these associations are practically trying to reduce the bias or in fact if they are. This is an area of research that is being analysed. This will help compare the current tools being put in place and to see if there is a working intervention to help reduce the birth bias. The context of the study will include raising awareness of the relative age effect to the coaches in which the relative age effect is most predominant within the standard at which they coach. Research has previously highlighted this to be an advantage in reducing the effect, increasing the value of the study. (Baker et al, 2010; Cobley et al, 2009)  The study begins viewing previous research on the relative age effect reviewing specifically topics around the aims and secondary topics in which can affect the predominance of the effect. The second section views the method in which the study carried out the research with reasoning and description, progressing onto the results in which are presented with the discussion following. A conclusion in relation to the aims of the study is carried out in the penultimate section, ending with self reflection discussing the learning throughout the study.     Ãƒâ€š Literature Review 1. Relative Age Effect Children are split into age groups throughout school and whilst they are in education. In England the children are split into age groups running from nursery, primary school with years 1-6, then into secondary schools with years of 7-11. In England the school year starts in early September and runs to August (Direct.gov, 2009). This means that two children within the same year participating in educational studies and sports could have a difference of more than eleven months between them. In sport, the relative age effect was first noticed in Cana ­dian ice-hockey and volleyball. Grondin et al, (1984) found unequal birth-date distributions for males and females at recreational, competitive and senior professional levels for both sports dur ­ing the 1981/1982 season. 2. What age does the relative age effect occur? Simmons Paull (2001) are a set of researches who have previously viewed the relative age effect in England. They found that there was a bias within centre of excellences in England. In 1997 in the age groups of U-15 U16 there was seen to be a large difference within the birth dates of players participating, players oldest within the year consisted of 58.7% with just 12.7% of younger children being within these centres. Glamser, Vincent, (2004); Musch Grondin (2001) found specifically that ‘players in the United Kingdom, Sweden, and Belgium approximately 70% of elite youth players had birthdays in the first half of the soccer year. This shows that there is a bias within English football and shows that the age effect occurs highly in these ages. The relative age effect does not just occur within England. Del Campo et al (2010) viewed the relative age effect within Spain. The research that was carried out found that the relative age effect occurred through age groups inclu ding under 11s to 18s. The players within the teams included within the research consisted of a minimum of 45% of players born within the first trimester, with only a maximum of 15% of the players coming from the fourth trimester. This shows that throughout each age group the difference between the players born early in the year and the ones later in the year was 30% in favour to the players born in the early stages of the selection period. Williams, (2009) study on the U-17 World Cup also suggests that the relative age effect is continued into not just the older age groups but also into senior international teams. Williams (2009) looked at all the players participating within the tournament and found a large difference in the months of when the players were born. The study found that, ‘Nearly 40% of the players are born in the first three months of the year while only 16% are born in the last quarter. Dudink (1994) research supports the research carried out by Willia ms (2009) into evidence that the relative age effect progresses through all age groups. Dudink (1994) claimed that both Dutch and English players born early in the competition year are more likely to participate in national soccer leagues. This research not only suggests that the relative age effect occurs through childhood and adolescence but also occurs through to adulthood. 3. Why does the relative age effect occur? Research has shown many reasons behind why there are biases towards players who are older than their peers. (Delorme Raspaud, 2009: Musch and Grondin, 2001). Musch and Grondin, (2001) suggests that ‘as children are separated into age groups there are regularly cognitive, physical and emotional differences between the youngest and oldest. Research backing up this is seen from Malina et al,(2004) who states there are ‘advantages in body size, fat free mass and several components of physical fitness including aerobic power, muscular strength, power, endurance, and speed. This means that there is a difference within all aspects of a character within players in the same year. It has been sug ­gested that the size of the relative age effect may be affect ­ed by additional maturational variation at ages associated with the onset of puber ­ty, generally applicable at the ages of 13-15 in boys and 12-14 in girls (Musch Grondin, 2001). This meaning that pub erty is a large section of a players selection/development process in which could affect the number of players who are chosen. Helsen et al (2000) found that relative age effect was present within children aged as young as 8. As players develop differently at different stages this would suggest the younger players would have a larger disadvantage at the stage of puberty. Research from Gil et al, (2007b) found when looking at the selection of young soccer players in terms of anthropometric and physiological factors found that during puberty the players selected were taller, heavier, leaner and faster than the non-selected players and that a high percentage of those chosen were found to be born within the first 6 months of the year. Helsen et al, (2000) looked at the possible difference between two players within the same selection year: ‘A 10-year-old child in the 5th percentile is likely to be 1.26 m tall with a body mass of 22 kg, whereas a child in the 95th percenti le who is almost 11 years of age is likely to be 1.54 m tall and 49 kg in mass. This shows that one player could be as much as 0.3m taller and 27kg heavier than a player placed in the same selection year showing a clear advantage physically towards the older player. Along with maturation levels studies have shown that the playing position of a player also has an effect. Ashworth and Heyndels (2007) noted the relative age effect var ­ied according to playing position in elite German soccer. The strongest effect sizes were found for goalkeepers and defend ­ers, with relative age effects not evident for forwards. Research carried out by Gil et al, (2007a) found that goalkeepers and defenders are on average are the tallest players being five centre meters taller than both the midfielders and attackers. This with the research found from Malina et al., (2004) shows that it could be very difficult for the younger players to achieve selection within these positions. Rese arch by Gil et al, (2007a) also progresses on to further back up research from Malina et al, (2004) as when viewing players who were in the selection process, players who had better endurance, were faster and in some instances taller were primarily selected. Although there were statistical information found within research from Gil et al, (2007a) looking further into the study there were also instances in which the research challenged the statement by Malina et al,(2004) in which they stated players who were faster and taller for example had an advantage. Gil et al (2007a) found that when viewing players who were selected and those not, it turned out that the non selected players were taller faster and had superior endurance. Examples being that the goalkeepers non-selected were four centre meters taller, 0.3 seconds faster than the selected players. The research found that in midfield where players are seen to run the most which in turn means they need to have greater endurance levels the non selected players were found to have lower heart rates after an endurance test. (Gil et al, 2007a) This research highlights evidence contesting the advantages older children are perceived to possess. 4. The effect on participation levels Researchers have also viewed that the relative age effect can make players drop out of sport. Delorme et al (2010), suggests that the players born later within the year ‘experience inferiority and failure within their practice and may be reduced to less playing time. Vaeyens et al (2005) also had similar thoughts and stated that the reason why the relative age effect relates to the players dropping out is due to the older players receiving more playing time than the younger players. This leading to the younger players feeling less competent and increasing the possibility of them dropping out of the sport.   Cobley et al (2009) noted that the size of the relative age effect increased with age un ­til late adolescence, but then decreased in adult sporting contexts meaning that if the players who are born in the younger part of the year, who carry on in sport have a good chance of being selected to play at a high standard, contesting research carried out by William s (2009) and Dudink (1994). While Musch and Grondin (2001), stated that; ‘The relative age effect is not only thought to generate discrimination in the selection process, but also to lead to dropout among less advantaged players   (i.e. those born at the end of the year) Delorme et al, (2010) found that the rates of drop outs in French football were highest within players in the last two quarters of the year. This means that although Cobley et al, (2009) found that the relative age effect decreases into adulthood the number of the late born players progressing through to that stage is low. Research by Delorme et al, (2010) supports research by Cobley et al (2009) as they found the number of players dropping out in French adult football was higher within the players born early within the year with a number of 1,612 players dropping out more than the late born players. Although this can be seen from the research, Delorme et al (2010) also show that the nu mber of players born late in the years that are dropping out is higher throughout the ages of 9 15. This means that a high number of players born within the last part of the year have already dropped out implying that as the years progress the number of players that can drop out have reduced significantly. 5. Does the level of play affect the relative age effect? Research from Mujika et al, (2007) views similar areas to the one carried out in this study with the difference of them viewing this within Spanish football. They viewed the difference between the relative age effect at different levels of football within Spain. The levels they viewed were players from La Liga (Spains highest division) club AC Bilbao, Elite youth from AC Bilbao, Regional Youth and School Youth. The research found that players born in the first quarter of the selection period decreased as did the level of football, after the La Liga players group who had 43.9%. Elite youth players consisted of 46.6% of players in the first quarter, the regional youth group consisted of 28.6% whilst the school youth group had the lowest percentage at 27.1%. These statistics show that throughout youth football the relative age effect increases, slightly decreasing when reaching the highest level of football although only by 2.1%. They also found that players in the last quarter were f ound mostly in the School Youth subgroup consisting 22.9%, decreasing to 21.2% in the regional youth group, then significantly decreasing to just 10% of players within the Elite youth subgroup, finishing with a very slight increase in the number of players within the La Liga group of 2.2% to a total of 12.2% of players being within the last quarter. This again shows that there is a bias throughout the progression in performance level within Spanish football. Cobley et al (2009) viewed performance level in relation to the size of the relative age effect among similar levels to the current study. Cobley et al (2009) found that the largest bias towards the oldest players was found within players that participate within the representative stage. This stage related to the level below the elite stage which was viewed to be the highest level in the study. Cobley et al (2009) progressed to suggest that the level that players partake within has an effect on the size of the relative a ge effect. The relative age effect was found to increase within each progression in performance level until the optimal performance level is reached comparable to the findings by Mujika et al (2007) Till et al (2010) viewed the relative age effect within rugby league players, similar to Mujika et al (2007) they found that as the performance level increases as does the impact of the relative age effect.   In the study throughout each increase in performance level there was an increase in the size of the relative age effect. The highest bias towards the eldest players found was 61.34%, this statistic was found within the under 13s age group. The research highlights that the birth bias is affected by skill/performance level not just within football but also other sporting environments.  Ãƒâ€š 6. Is being young an advantage? While previous research has shown a bias towards the players born early within a selection period, there is research suggesting that if the later born players successfully progress through and become professional players they can be at an advantage. Ashworth and Heyndels (2007) found that players who were seen as being born in the later period of selection had higher wages than the players born in the early period. When looking at German football players during the 97-98 and 98-99 seasons, players born in the cut off month of August 1st earned 2 million deutschemarks where players born later in the selection period earn up to 2.8 million deutschemarks. Ashworth and Heyndels (2007) stated that this occurred when the later born players played in a high standard soccer education programme. The later born players benefited playing with the early born players or perceived better players, enhancing their development as young players benefit from playing alongside or against superior play ers. They further progress to imply that for the later born players to succeed throughout the selection process, when younger they must have above average talent. 7. Can the relative age effect be decreased? Research has viewed the possibilities of whether a change in selection dates will correct the bias that occurs within football. The Royal Belgian Football Association changed their cut off date in 1997 to reduce the impact of the relative age effect, but the shift from August the 1st to the 1st January just meant a shift in the Bias. (Vaeyens et al, 2005) Similarly research has viewed Japans competition year which begins on 1st April and the bias is observed in May and July, Germany and Brazil produce similar distributions with a start date of 1 August. In each case, the season-of-birth bias aligns with whichever quarter is earliest in the competition year. (Simmons and Paull, 2001) Fifa and Uefa have also been seen to prolong the selection period for players in order to make it fairer. Research found that the number of players within teams that were looked at had more players in a wider range of months but there was still a bias to the younger players in the selection proces s. (Helson et al, 2005) Although footballs attempt to shift the selection dates has seen little or slight improvements in producing equality into the selection process, varying the cut off dates for selection in sports has before been seen as a way of being successful in reducing if not preventing relative age effect. For example in swimming they have no cut off date. Ryan (1989) stated this would be successful if key competitions were avoided within certain months. Although this may work for individual sports such as swimming has been seen to not be applicable in team sports. (Musch Grondin, 2001) This shows that there is a possibility of reducing the relative age effect. The results and interventions found and used in other nations will help when aiming to reduce the impact which may be found within the English game and to see if there are any differences between England and the other Nations. Although these have been used to try and reduce the relative age effect in the sp ort few research have gone into what the coaches can do. Cobley et al (2009) suggested that just raising awareness of those responsible for the infrastructure and coordination of youth sport may be effective. Baker et al (2010) also suggested that increasing awareness and under ­standing of the relative age effect, as part of coach training and education programs, may help centre coaches attention to the potential selection bi ­as. Methodology Sample The study comprised of a total of 2540 football players, ranging from the under 9 to under 15 age category within England. The players were allocated to one of three sub groups relating to their standard of play within the sport. The Academy group perceived as the highest level within the study consisted of a total number of 416players who played for an academy football team at the time of the study. The Grass root group consisted of 354players who played for a FA Chartered team. The third subgroup contained players who played recreational football within a community scheme that related to the lowest standard of play within the study. The total number of players in the recreational sub group was 1770. Area 1 The study required the birth dates of football players within age groups from U-9 to U-15. The players were chosen from community football, grass root football to academy football. The players were then sub-divided into secondary groups of grass root team p layers, community players and academy players. The details of the players were collected through contacting teams from the respective leagues through the use of letters. These letters detailed the information required from the clubs and how the results of the information would be used. Area 2 There were a number of coaches selected to undertake an interview. The coaches were chosen from the category in which the largest relative age effect was found from area one which was within the academy standard. The number of coaches chosen was four and this was due to limited time. The coaches selected were based on accessibility. Prior to interview the coaches were provided information regarding to the research in which is to be carried out. (Appendix 1.1) Data Collection There are two types of research, these are qualitative and quantitative. Qualitative research involves ‘researches describing kinds of characteristics of people and events without the use of measureme nts or amounts. (Thomas, 2003). Quantitative research involves ‘measurements and amounts of the characteristics displayed by people and events. (Thomas, 2003).  Ãƒâ€šÃ‚  Ãƒâ€š The data that will be collected will be both qualitative and quantitative. The quantitative data will be collected through primary research. Individual clubs from each area and age group were contacted through a letter which included the details of what the study will involve, the information needed and ethical considerations. The letter was sent to the coaches of the grass root teams, the academy managers and the chief executive of the community scheme. This data collection method was chosen to save time which is limited and through previous research having successfully acquired similar data. (Diaz Del Campo, 2010)   Grass root team players are players from teams who were found to be FA chartered and within division A of their respected leagues. The recreational players came from a loca l community scheme located in South Yorkshire. The academy players were selected from a number of professional academy teams. The players and teams that were selected were based on accessibility and convenience. The teams that were chosen were local teams based within South Yorkshire, as money and time limitations would not enable collecting data from teams located in different regions.   The teams were presented with a sample research response sheet in which they entered the necessary information required for the study. (Appendix 1.2, 1.3, 1.4) To collect the data from the coaches structured interviews were carried out involving a number of open and probing questions. (Appendix 1.5) Open ended questions were used to allow the interviewee to provide more detail, rather than a one word answer from a closed question. The open ended questions allowed the interviewee to communicate using their own language and this takes you into their own world to view the area from their per spective. (Johnson Christensen, 2011). This would add value to the study information being reliable. (Johnson Christensen, 2011). The interviews were recorded through the use of a Dictaphone to reduce the risk of missing information and this enabled re analysis to ensure all important data was processed. Although a Dictaphone can help in recording the interviews, they can also have changed the behaviour of the interviewee and the answers they gave. (Silk et al, 2005) The interviewer made sure the coach was comfortable before progressing with the interview to enable reliable results could be collected and the coachs responses werent systematic and fictitious. Structured interviews will be used as the reliability of the interviews will be increased. (Hersen et al 2007) When looking at the purpose of the study which is to see if the coaches are aware of the relative age effect and what they are doing about it, the coaches could diverse into different areas if a structured pat h is not in place similar to a semi structured interview. (Hersen et al 2007) Although when designing this interview considerations such as making sure all areas needed are covered were considered to ensure the responses did not divulge into unnecessary areas. (Hersen et al 2007). The questions started with short and easy questions in which they could comfortably answer in order not to scare them and make them feel comfortable. (Johnson Christensen, 2011) The interview then progressed onto more sensitive questions in which were placed once the interviewee felt comfortable and had given alot of their time to the interview reducing the possibility of fictitious responses being given. (Johnson Christensen, 2011). Questionnaires were not used as a tool to collect this data as questionnaires could be returned incomplete and also could be found as being ambiguous. This would lead to incomplete data and unreliable sources. (Gratton Jones, 2005) Data Analysis Analysing data from th e birth dates of players, each teams data that was collected were placed into the categories assigned for them (Community, grass root and academy). The different age groups were separately analysed to highlight which age group had the largest relative age effect. The birth dates were organised into sub categories, these were the birth months of the players. These sub categories are; September to November, December to February, March to May and June to August. These categories have been used in previous studies, (Simmons Paull, 2001) and using these will give an area of comparison. The statistics will then show in which area the birth bias is evident and the different impact of the bias within different levels of the sport. Percentages of which players are born within each month will be produced giving a statistic which can be easily be compared. The statistical analysis tools within Microsoft Excel were used to create the data throughout the study.  Ãƒâ€šÃ‚  Ãƒâ€šÃ‚  Ãƒâ€š The data collected through the structured interviews were analysed by transcription of the interviews, in which throughout this key themes could be formed to help seek whether there are current similarities in how coaches are selecting players and strategies minimizing the impact of the relative age effect. (Appendix 1.6) Any interventions being inputted by coaches were highlighted and used to compare what coaches are doing to overcome the relative age effect in their teams currently. Direct quotes seen as aiding research and results of the research are highlighted within the main body to provide evidence. Ethical Considerations Throughout the research of the study ethical issues will be considered throughout. When collecting data for the birth dates of players, the managers of the grass roots teams, chief executive of the community scheme and academy managers were told specifically what they will be partaking within and what information is needed from them. (Appendix 1.7)To keep the players details confidential all that was required were the birth dates of the child, as this will keep personal details which are not required safe and ensured the research could not be related back to any specific person. Consent forms were included to evidence their cooperation within the study. (Appendix 1.2, 1.3, 1.4) When giving information the use of a data template in which the teams filled out to make sure only the necessary information is given was used. The collection of data for the interviews will include specifically explaining verbally and documenting what the coaches will be partaking within, and where the results of the research will be used with consent forms highlighting their cooperation within the study. (Appendix 1.9)The necessary resources needed to carry out the interviews were accessed prior to the interviews, such as Dictaphones and interview rooms. (Appendix 2.0). The information collected from the coaches was specific to the research needs an d the only information needed personally from the coach was of what club they are involved with. The information gathered through the interview was only viewed by the researcher and the MIS Supervisor. Questions were designed prior to the interviews to enable ethical approval on them. (Appendix 1.5) It was made aware to all parties involved within the research project that there was ethical approval approved by an appropriate representative of the Faculty Research Ethics Committee at Leeds Metropolitan University and that if any issues arise they will be informed to ensure confidence in the divulgence of research. This was done through the completion of necessary forms, such as risk assessment (Appendix 2.1) local level approval . The results of the research that has been carried out in context to themselves or their team has been made available for them to view at the end of the research, to ensure the participants have evidence that the ethical considerations they agreed to have been kept and to view areas in which may help their development. Results Birth Month Statistics The research project aimed at the start to view the different levels of football and how the influence of the relative age effect impacts each of the levels (Academy, Gras root and Community). Figure one below shows the total number of Academy players within the study. The results in figure one show that throughout the age groups excluding one (U12) the majority of players are made up by the oldest players from the selection period with the younger players being underrepresented. Table 1: Percentage of Academy players Age Group Sep Nov Dec Feb Mar May June Aug U9 55.6 28.9 11.1 4.4 U10 42.9 23.2 16.1 17.9 U11 47.3 32.7 16.4 3.6 U12 38.2 40.0 16.4 5.5 U13 46.6 26.0 19.2 8.2 U14 53.7 26.9 16.4 3.0 U15 50.8 23.1 13.8 12.3 The table above relates to figure one. The table highlights the difference in the number of academy players born within each month. When viewing the grass root football players the effect that the birth bias had on this level of football was found to be significantly different to the one found within the academy results. Figure 2 shows the number of the grass root players categorised into age and birth month groups. Table 2: Percentage of Grass root players Age Group Sep Nov Dec Feb Mar May June Aug U9 28.3 23.9 26.1 21.7 U10 26.1 26.1 19.6 28.3 U11 30.0 22.0 26.0 22.0 U12 33.3 27.5 19.6 19.6 U13 28.8 25.0 21.2 25.0 U14 29.6 20.4 27.8 22.2 U15 23.6 27.3 23.6 25.5 Table two below presents the percentage of players born, categorized into age groups and the month in which the players were born. The table highlights the divergence throughout the age groups in relation to the relative age effect. The final level of football that the study researched into was the football players who participated in football within a community scheme. Figure three shows the number of players within each age group divided into the quarter months. The graph clearly presents that the relative age effect is still prevalent within this level of football, which is the lowest standard within the study. Table three highlights the percentage of players participating within the community scheme. The table presents the findings of the players through the use of percentages in relation to the number of players each birth month consists of. Table 3: Percentage of Community Players Age Group Sep Nov Dec Feb Mar May June Aug U9 34.7 23.1 19.9 22.4 U10 21.6 25.4 23.8 29.2 U11 25.0 23.4 23.4 28.1 U12 31.7 26.7 23.3 18.3 U13 28.8 19.6 28.4 23.2 U14 32.7 24.9 21.0 21.5 U15 24.8 20.4 29.9 24.8 Table 4: Difference between the Oldest and Youngest Players Age Group Community Grass root Academy U9 12.3 6.5 51.1 U10 -7.5 -2.2 25.0 U11 -3.1 8.0 43.6 U12 13.4 13.7 32.7 U13 5.6 3.8 38.4 U14 11.2 7.4 50.7 U15 0 -1.8 38.5 Table four above presents the difference between the oldest players and youngest players (%) within the different age groups, categorized into standard of play. The table presents both positive differences and negative differences (-). Negative differences equal a bias towards the youngest players within the year groups. Interview Analysis Figure four above presents the results of question four within the interview in relation to the awareness of the relative age effect. The results highlight optimal level of awareness of the relative age effect. Table 5: Impact of the Relative Age Effect Response Can the relative age effect Impact your Coaching? Have you tried Anything to help Reduce the affect in your team? Yes 2 4 No 1 0 Unsure 1 0 Table five above highlights the number of coaches that feel the relative age effect impacts their coaching process along with whether they have implemented anything into their coaching to reduce the effect. Discussion This study examined the influence of performance level on the prevalence of the relative age effect in youth football within England.   The research presented highlights that this criterion influences the distribution of football players within England. The current study consists of corresponding findings to preceding research into English football. (Simmons Paull, 2001; Glamser Vincent, 2004; Musch Grondin, 2001). Relative age effect was most prevalent within the highest level of youth football within England, i.e. the academy level. The number of players that participate for academy teams decreases as the months of the selection period progresses through the year. Players born earliest in the selection period were compromised of 47.8% of the total number of players. This number decreased to 28.4% for players born between December and February, 15.9% between March and May and 7.9% between June and August. (Figure 1). Simmons Paull (2001) comply with the studies curre nt results in relation to youth football players at the highest level. Similarities arise through the comparison of the two studies with Simmons Paull (2001) who accumulated results showing 61% of centre of excellence players were represented by the oldest players in the teams, with the younger players being underrepresented occupying 11% of the total number of players. The two studies highlight a large bias towards the oldest players by 39.9% and 50% respectively. Furthermore in relation to the birth bias towards players born early within the selection period participating at the highest level Musch Grondin, (2001) found that in the United Kingdom, Sweden, and Belgium 70% of elite youth players were born within the first half of the year. The current study presents comparable results supporting the research in which statistical analysis found 76.2% of the academy players were born within the first half of the year. The study aimed to view if the level of football being play ed impacted the relative age effect. The current study found that the birth bias towards the oldest players although present at each level did not always increase. The players participating at the lowest level (community) consisted of 24.2% of the total amount of players in which emerge from the youngest age group. This was only 4.1% less than the total amount for the oldest players, highlighting the lowest bias between players within the study along with the grass root players. In relation to the impact of the performance level of a participant on the relative age effect, the studys results provide evidence that the significance of raising the performance level does not affect the selection of younger players when moving from the community scheme to a grass root team. The results contest previous research conducted by Mujika et al (2007). The Difference in the youngest and oldest players within the two subgroups of community and grass root does not alter with the adjustment in stan dard of play; Mujika et al (2007) found within their study that as the performance level increased so did the relative age effect. In numerous age groups the impact of the relative age effect can be seen to decrease as the performance level increases (Table 2 3). Although the study opposes this area of research by Mujika et al, (2007) the study corresponds when viewing academy players. In relation to corresponding with Mujika et al, (2007) the current study found similar results in the impact of the birth bias when reaching the academy level. Mujika et al, (2007) found that the difference between players who participate within the highest level of youth football and the ones who participate within the lowest level was of significance, finding that this difference was 23.7% in favour for the older players with the current study presenting a difference of 23.6%. The impact on performance levels of players participating within each of the subgroups differed throughout different age groups.   Table 4 presents evidence highlighting that during the participation within the under 10s age group at every standard of play the bias towards the older players is at the lowest level, evidently in the community and grass root subgroup the bias can be seen   to be in favour of the younger players. There is a higher representation of younger players over older players in the under 10s age group by 7.5% and 2.2% respectively contesting research by Helsen et al (2000) who found the relative age effect to impact each age group including players as young as 8 year old. Table 4 progresses to highlight the most affected age group in total throughout the different standards of play is within the under 9s age group. The difference between the oldest and youngest players are 12.1% in the community group, 6.5% in the grass root subgroup with the highest difference being 51.1% in favour of the older players. The most significant finding found that there was no relative age effect within the community scheme at under 15s, this age group was also the lowest within grass root players with a difference of 1.8%. The findings into the age in which the relative age effect is present resonates with research from Helsen et al (2000). In which both studies found that the relative age effect is present within the youngest age groups, with the older players being labelled as talented. Overall the statistical research found that in relation to performance level, the relative age effect is most predominant when reaching the academy standard with low performance levels providing little evidence of a significant bias. The age of a player in relation to the impact of the relative age effect at academy level provides evidence suggesting that the impact of the relative age effect is prominent throughout all ages with the older age groups presenting higher numbers of older players. The studys secondary aim was to view if football coaches where the relative age effect has most impact are currently arranging strategies to limit the bias. The research found that out of the four coaches interviewed on the matter every coach had been made aware of the relative age effect. Highlighting this result along with the impact the relative age effect has at this performance level contests preceding research by Cobley et al (2009). Cobley et al (2009) stated that raising awareness in coaches would be effective in reducing the effect. The current results highlight that coaches have been made aware and results from Figure 1 and Table 2 present results against research that states raising awareness is an effective strategy to reduce the relative age effect as it is still predominant. Whilst coaches in the study conveyed that they had been made aware, results from the interviews highlight uncertainty in the definition and understanding of the issue. Responses consisted of phrases presenting this uncertainty, for example ‘if Im Right; I think. This fin ding should be considered when analysing research by Cobley et al (2009) because although the coaches have been made aware, the issue has not been fully understood limiting knowledge and in turn limiting the impact this could have on them. The coaches interviewed in the study stated that they were made aware of the relative age effect through ‘development days and coaching courses. The relative age effect has most impact in relation to the standard of play that the coaches questioned work at. Baker et al (2010) suggested that increasing awareness and under ­standing of the relative age effect as part of coach training and education programs, may help centre coaches attention to the potential selection bi ­as. Results in the study deviate from Baker et al (2010) research as the coaching courses have not centred coaches to the selection bias, coaches felt that the relative age effect did not affect them as they mainly view ‘technical ability and argued tha t ‘You dont know how old that player is when you select him. This provides evidence suggesting the coaching courses are raising awareness but the issue of the relative age effect is not being made specific to the coaches to allow understanding. The preceding research into limiting the relative age effect in football referred to raising awareness and the implementation of new selection periods. (Baker et al 2010; Cobley et al 2009; Vaeyens et al, 2005; Simmons and Paull, 2001) The initial strategy has been contested throughout this study in which found new ways the coaches are aiming to reduce the bias. The coaches at academy level suggested the strategy of ‘playing players up or down one year can help develop players. The results present new findings in the research to limiting the relative age effect within football. However   whilst the academy coaches can be seen to be implementing this, Figure one and Table one highlight results questioning the effectivenes s of this strategy as the relative age effect is predominant at that performance level. Relating to prolonging the playing career of players that the relative age effect detriments coach D provided strategies to facilitate this. Coach D when viewing coaching strategies suggests ‘social development is imperative. Actions such as allowing players ‘to set up sessions, do demonstrations and be captains, all with the aim of improving confidence and allowing the younger players to progress. The strategy aims to prolong and develop players when already within the academy team; however this would not change the birth bias in the most important area which is the selection process. If the younger players are not progressing through to the team then the strategy would become redundant. Interviews including the academy coachs emphasised that when selecting players the main attribute the coachs look for is technical ability, with impact the player has in the game being the seconda ry attribute. Malina et al,(2004) stated there were ‘advantages in body size, fat free, mass and several components of physical fitness, including aerobic power, muscular strength, power, endurance, and speed. The physical attributes portrayed by Malina et al (2004) can contribute to players utilising them in different positions to produce this ‘impact within games. (Bloomfield et al 2007). The preponderance of evidence implied the impact of the player during a game was one of the attributes coaches viewed as necessary in performing at the academy standard. However in interviewing coaches, acceptance of selecting the older players came to the fore in one instance. Coach B conveyed that they would look to the players the birth bias effects; ‘if i needed a centre half i do look at the taller age ranges. The preceding research along with the current studies qualitative results suggests the selection process used by coaches, seek to identify the attributes that the pla yers oldest in the selection period are perceived to possess. This implicit acknowledgement provides evidence of why the relative age effect is so predominant at this performance level. Conclusion The primary aim of the study was to investigate the performance level at which birth date may affect selection for performance pathways in English football. The current studys findings present divergent results in comparison to preceding research that highlighted as the performance level of a player increased, so did the relative age effect. (Till et al 2010; Mujika et al 2007) The current studys results presents that the performance level of a player only illustrates an impact on the birth date of a performer once the highest level of youth football is achieved. The results establish that the football pathway towards elite football demonstrates a bias towards the oldest players within the selection period, this bias dissimilar to any other standard in English football. The results compiled within the study provides evidence that once players reached the highest level of youth football the players who were born earliest within selection periods possessed the necessary attributes to continue. Whereas the evidence implies that players born latest within the selection period have not at this stage of selection acquired those attributes. The studys results differentiate from previous in which throughout each standard of play the impact of the relative age effect progressively increases. The data is of important value to members of the academy structure, highlighting an area in which improvement is acquired. The secondary aim of the study was to explore the football coaches understanding of the relative age effect in addition to establishing whether strategies are currently in place to minimize the effect. The present findings highlight that the coaches within the academy structure are aware of the relative age effect, however unlike previous research suggested this awareness is not substantial enough to minimize the relative age effect at this level. (Cobley et al 2009; Baker et al 2010).   The coaches informed that the awareness was arisen through coac hing courses and development days. Preceding research by Barker et al (2010) suggested that awareness through these sources would ignite a response in minimizing the bias. The current study provides sufficient evidence contesting this research as although the coaches are aware of the level of impact the relative age effect has; it is still predominant at this level. In relation to strategies currently in place the study presented new findings into actively reducing the relative age effect. These strategies were to play players up or down one year dependant on a players development stage and to increase confidence of younger players within the teams, both of which were proven to be ineffective through statistical data gathered throughout the study. The area of weakness within the strategies in attempting to reduce the impact that birth date has on selection, is that they are currently aimed to limit the bias once players have been selected. The study was unsuccessful in presenting an effective strategy in reducing the relative age effect within English football, comparable to preceding research. The study provides guidance into the application of future research in which should concentrate on strategies in placement prior to selection, rather than once players have been selected. The studys results presents informative data with great value for academy coaches and scouts. The study highlights that the academys approach to minimizing the effect currently is ineffective, providing evidence that action is needed in order to reduce the relative age effect at this standard. The current study was limited to the Yorkshire region when compiling results for the study due to time and convenience, future research should explore a wider circumference in order to analyse the overall impact on English football. In relation to the sample size of the study, the number of players viewed was imperative to acquiring informative results; however it is recommended that fut ure research contributes increased time in the collection of a larger broad sample size in order to comprehensively view the impact of the relative age effect in English football. To conclude, the study found that the performance level of a player only has an impact on the birth date in relation to selection once the highest level of youth football is viewed. The coaches are currently aware of the relative age effect but as yet there are no successful strategies in order to reduce this effect in the English game. Self Reflection The process of the major independent study has involved invaluable personal, professional and academic advantages throughout.   In the production of the MIS there were regular meetings completed with the researcher and the tutor that involved discussions around the completion of areas within the study, in which turned out to be informative in compiling the study. (Appendix 2.3)These discussions highlighted the inconsistency of the writing skills throughout the study. This enabled learning into self critique of the work, improving these skills that immediately enabled a more concise piece of work being complete; furthermore the skills will enable the researcher academically in future studies in order to ensure the content and style of writing is concise and relevant throughout. In the completion of the study one of the key learning outcomes that arose was the time management in relation to the acquisition of research data. The study highlighted a skill gap in time man agement, the main area that this will impact is within future academic studies and throughout future career aspirations. It is important that in future research the study is better time managed with a systematic approach in place in which contingency plans are created. This will allow time for the study to be completed efficiently with sufficient data included. The researcher found the experience of investigating the topic area to be of real interest both personally and professionally. In the future the career aspirations are to progress into working within the academy structure, the results found within the study will impact on the approach in the selection of players within the career choice. The results highlight the importance of the selection process in the aim of recruiting potential football players, it is important to understand the development stage at which each player is at and to view future potential rather than current attributes. The study provides personal and aca demic opportunities to further the study within English football in relation to the relative age effect. The results highlighted a gap in research in which has ignited a passion to investigate further. A strength highlighted throughout the process has been the ability to research relevant and up to date research in order to understand the topic area competently and provide relevant research compile a professional investigation into the subject area. This strength will aid in future studies as having the skills to research a subject area and having the knowledge to source the information efficiently enables relevant research to be established. In relation to future career aspirations the strength will allow areas relevant to the post to be researched and understood sufficiently in order to carry out the post competently.

Public Health in Practice Essay - 1708 Words

Section 1: Public Health and Public Health Practices/Investigations Public health is the discipline and skill for preventing diseases and injuries, extending the lifespan and endorsing wellbeing through structured public work, the control of communicable diseases, the union of medical and nursing facilities for the prompt identification and disease prevention, teaching individual health and to make sure a standard of living suitable for the conservation of health (Breslow et al, 2002).. Public health focuses the health of the people completely than the treatment of individuals (Beaglehole et al, 2004). The public health principles are meant for the public and other institutions that have a public health mission. Individuals and†¦show more content†¦Preventing diseases needs various methods at each level. Some consist of education, awareness campaigns, legislation and modifying the surroundings. Disease/injuries need to be addressed at more than one level, and time and again all three. It is essential to recognize which prevention strategies are shown effective in order to have the utmost effect on your chosen program (Christoffel Gallagher, 2005). Public health should predominantly address the vital causes of disease and necessities for health which in turn aims to avoid adverse health consequences. For instance, the handling of treatable infections is essential to the deterrence of transmission of infection. Public health must reach community health which compliments the rights of those in the public. This Principle recognizes the mutual need in public health to ponder the concerns of the individual and the public. An ethical principle does not exist to deliver an explanation or answer to this constant pressure in public health. Public health guidelines, programs, and priorities ought to be established and assessed over to guarantee an opening for feedback from the public. 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Policies For Breaking The Cycle Of Poverty - 1114 Words

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Poverty is a social problem rather than an individual problem because it is a deeply embedded social issue that permeates every aspect of culture and society. It involves sustained low levels of income for people in a community, and includes a lack of important resources like education and health care. Poverty is a large cause of social tension and div ide in America becauseRead MorePoverty, Equity, Human Rights, And Health1390 Words   |  6 Pagesestablished cycle of poverty, equity, human rights, and health with an overview of the links between them; the history of past global efforts; and five recommendations to the health sector to focus its resources to gain maximum impact. Their paper stands on the shoulders of well-established research and theory. It is well established that there is a link between poverty and poor health, including decreased morbidity and mortality (Irwin Scali, 2007; Wagstaff, 2002). Likewise, that the cycle of the determinants

James Schoolcraft Sherman Essay Example For Students

James Schoolcraft Sherman Essay The nations twenty-seventh vice president during William Howard Tafts presidency was James Schoolcraft Sherman. Being a member of the House of Representatives for almost two decades, he stood firmly for the Republican Party as an influential role during the Progressive Era. He was nicknamed Sunny Jim for his genial demeanor and civility, and was the first Republican vice president to be renominated. However, he didnt live long enough to see the election day. James was born in Utica, New York on October 24, 1855. His parents were Richard Updike Sherman and Mary Frances Schoolcraft Sherman. They educated James in the Utica public schools, and his advanced education took him towards Hamilton College in Utica. Sherman was not a brilliant student but he was greatly distinguished as a debater by his professors and his peers. He gained admission to the bar in 1880, then entered the Utica law firm of Cookinham, Gibson and Sherman. He remained here as a business adviser until 1907. He was moving on to politics. His father sparked James interest in politics, and chose to be a Republican against his fathers advice. Shermans first political victory was his election as mayor of Utica in 1884 at the age of 29, making him the youngest mayor in the citys history. He declined renomination, as he was preparing to move into national politics. Even without any outstanding achievements as mayor, he managed to work his way into position for the Republican nomination for Congress in 1886. He defeated his opponent Thomas J Spriggs, who held the office for two terms. This congressional victory started him on a long successful career in national politics. With only one election defeat in 1890, Sherman served in the House until selected as Tafts running mate in the 1908 election. Meanwhile, Shermans personal life was steadily progressing. He married Carrie Babcock from East Orange, New Jersey on January 26, 1881. Carrie and James attended school together in Utica and had known each other since childhood. Dur ing her husbands vice presidency, she founded the Congressional Club for senators and representatives wives. When in Utica, they attended the Dutch Reformed Church, where he was the president of trustees and church treasurer. When his father died in 1895, he took control of the New Hartford Canning Company, which was one of the most important financial institutions in Central New York. Sherman was not known as a legislative leader, and few bills bear his signature. Instead, his main contribution was as a parliamentarian. Here he developed a reputation for his detailed knowledge of parliamentary procedure. He was chairman of the Committee of the Whole during important debates, and few men have been known whose parliamentary knowledge was more highly respected. Sherman was a member of the Committee on Interstate and Foreign Commerce, and was also appointed Committee on Indian Affairs chairman, a post that he held for 12 years. Other committees on which he served were the judiciary, ci vil service, and census. A successful career in Congress led Sherman to aspire to further political ambitions. In 1899, he was nominated and confirmed for the post general appraiser for New York. He soon declined because his constituents wished him to stay in Congress. Shortly after this he entered the race for Speaker of the House but the position went to David Henderson of Iowa instead. Sherman debated whether or not to run for Senate, but soon decided against it. Instead he further enhanced his reputation by chairing the New York Republican convention in 1895, 1900 and 1908. He was a Republican national convention delegate in 1892, and in 1906 chaired the Republican Partys National Congressional Committee. Shermans congressional career came to an end in 1908 when he was selected as Tafts running mate. Several other men were selected as other possibilities, but none seemed to be interested, so Sherman was choosen. His main qualifications were his parliamentary skills. Also, he was well liked in the Senate, and had been an effective Congressional Campaign Committee chairman. Sherman was a competent vice president during a period that saw growing divisions within Republican Party ranks. Despite declining health and reports that he might retire from politics, Sherman was renominated in 1912, becoming the seventh vice president in U.S. history to achieve this, and was the first Republican vice president to do so since the partys beginning in 1856. Sherman remained a conservative throughout his life, even though he was Tafts running mate on a relatively progressive platform. Shermans continued through his vice presidency term and was renominated for another. He accepted the nomination however; he died a few days before the election was held.

Psychological Management of OIndividual Performance

Question: Discuss about the Psychological Management of OIndividual Performance. Answer: Introduction The Human resource management is a management that is responsible for the individual and how the employees are treated and managed in a particular organization. In this report, the name of the organization is Australian training company of Australia. Human resource management helps the organization in bringing up the people of the organization upwards by providing them a good quality of training. The role of human resource department in every organization is very crucial as it is responsible in attainment of the goals and objective of the organization. The Human resource management plays a vital role in management and maintenance of human resource of the organization by aligning duties and responsibilities. They set mission and vision of the employees in accordance with the organizations vision and mission. thy provides various types of training programs to have performance management, succession planning , etc. the Human resource department is responsible in development of strategic planning and then implementation of them in the organization in the most effective way so that desired output can be achieved. An overview of the organization, Australian training company The company ATC was established in the year 1994, with the motive to provide training and employment opportunities for the people of Australia. Firstly, they initiated with the training of the sports people and then expanded by offering training to various field individuals. They had provided training to more than 10000, aspirants and people. Australian training company is a leading company for the solution of business by creation of employment, training and education opportunities for the people of Australia (Australian training company, 2016). Australian training company engages more than 1200 student and trainees every year. They generally operate in the territories of Australia and eastern states and have the capacity to serve the entire nation. It is a (GTO) Group Training Organization and also a registered training organization (RTO). It is a non-profit organization whose main focus is on the promotion of the workforce and their participation in the organization. They identify the talent and potential of each and every individual of the organization and match their aspirations according to the company (Australian training company, 2016). Role and impact of Human resource department as a part of HR management As we know that the Hr manager of an organization plays a vital role in the organization. If we talk about Australian training company, the Hr managers are very intelligent and skilled as they have to manage the entire staff of the company. The Hr manager creates a huge impact on the organization. The major role of Human resource department of Australian training company are staffing in which the hr manager do planning for the staff and the employee (Scullion, Collings, 2011). Human resource department also develop many types of policies so that the employees can remain motivated and encourage them to perform well. They have multicultural workforce that requires a proper management so that no conflicts can arise. The process of recruitment and selection is also done by the HR manger of the Australian training company. The development of strategies and policies related to the work is also ensured by the HR department of the organization like dress code, ethics, disciplines, vacations of the employees, etc. the compensation policies like salary and wages are designed by the HR department. The major role of the HR department is to provide training and development to the employees like job skills trainings, team-building, legal training, communication, etc. (Ngai, Law, Wat, 2008). The impact of HR department on Australian training company is very positive. The performance of the employees has become better with the type of training provided by the HR department. It is found that the employees of AST remains motivated if they get proper training. The confidence of the employees will boost and they remain satisfied (Kaufman, 2007). Strategy, vision and mission of Australian training company The vision and mission of Australian training company is to promote the organization by focusing on the needs and wants of the employees, they believe that the human resource is the great asset of ach and very organization. So they try to focus of the participation and performance of their staff members. They provide them training s and development programs in which the employees learn many relevant things. They believe in employee engagement and to achieve the above mentioned they try to fulfill the needs of each employee working with them. They identify the aspiration of the individual and according to it they provide them opportunity (Sonnentag, 2003). They deliver education, training, development, growth, employment opportunities, etc. through various sources either internally or externally. The significance of all the above things is to uplift the skills and talent of the employees with the organization. They are very attentive for their clients and focus on each and every query generated by them. They ensure their client about the solution of the problems. The communication skills of the Australian training company employees are very effective. They know to deal with the clients in the most prominent way (Heneman, Tansky, Camp, 2000). Importance In this way, they design policies and strategies that can fulfill all the above requirements. They keep in mind that employees and clients are the valuable part of the organization and then frame all the strategies. Strategies play a very important role as they guide the human resource department the ways all the objectives can be achieved. The main motive is to attain the goals and objectives of the organization as well as employees. Human resource department support the strategies by providing ideas so that the employees and the organization both get benefits (Guerci, et.al. 2015). Types of training and their alignment with the strategies Australian training company has different approach for the training given to the employees. They offer RTO quality of services for the employees and the business organizations by using the development programs of workforce. They also tailored education training that has multitude of benefits for the growth and improvement of the clients. It helps to builds the morale, confidence, motivation and retention of the staff members. It also leads to higher amount f productivity. The strategies are also formed in a way to fulfill all the requirements of training. They match the training need of the staff with the relevant training methods that are required to be done. It will help in maximization of the potential and caliber of the employees (Buchan, 2004). The employees can have Funded trainings The Australian government may apply incentives The members will also receive the certification of nationally recognized qualification In this way, the employees will termed as skilled and qualified employees who can contribute in the increment of the productivity. They also provide flexible training and conceptualized programs of learning for the clients and employees to manage the requirement of business. It includes: Some especially designed programs that are delivered at sites Some of the programs are delivered on online sites using online learning management Face to face classes They also mix different modes of teaching to fulfill the needs The broader impact of the HRD practices The Human resource department has both narrow and broader impact on the workforce of the company. Some of the broader impact are- Succession planning It is process that helps Australian training company to identify and develop new types of leaders and managers who can have the caliber to replace the old leaders of the organization. This process helps in the continuity of the leadership when the old leaders die, retires or leaves the organization. It also provides prevention against the vacuum of power and chaotic struggle regarding the powers of a company. This process is used by Australian training company so that the company can enjoy proper management of the human resource (Wojdacz, Dobrovic, 2007). Coaching At the workplace, coaching is termed as a process in which the performance of an individual is improved by providing relevant training to him. It is way by which the skills and knowledge can be developed in an individual so that the performance can be boosted. In Australian training company most of the training exercises are initiated through the process of coaching as it provides practical a well as theoretical knowledge to the employees and clients (Bowen, Ostroff, 2004). Performance management The fundamentals of performance management state that it is a process of improving and promotion the effectiveness of the employees and their performance in the company. This process is a continuous proves in which the Hr managers tries to bring togetherness in the work of the employees. Their aim is to set up coordination and cooperation in the employees and convert them is teamwork. They monitor and control the work performed by the employees and bring effective changes. The aim of performance management is to achieve the goals of the organization as well as of each individual who is a part of the company (Barratt, 2003). Conclusion At last, we can conclude that the role of human resource and the management of human resource are very relevant. The human resource and employees is the supreme asset of each and every organization. In this assignment we learnt about the Australian training company that provides the best quality of training to its employees. They treat their employees are the valuable assets by giving them satisfactory training. It is one of the main training providers in country like Australia. Training and development helps the employees to handle the work and their performance and the organization. The organizations and their management are changing according to the changes taking place in the global economy. So it has become very relevant for the companies to manage the operations according to the latest trend. References Australian training company, (2016). Training services, [Online], Accessed on: 7 December 201 Available at: https://austrg.com.au/training-services/ Australian training company, (2016). About us, [Online], Accessed on: 7 December 201 Available at: https://austrg.com.au/about/ Barratt, E. (2003). Foucault, HRM and the ethos of the critical management scholar. Journal of Management Studies, 40(5), 1069-1087. Barrett, R., Mayson, S. (2007). Human resource management in growing small firms. Journal of Small Business and Enterprise Development, 14(2), 307-320. Bowen, D. E., Ostroff, C. (2004). Understanding HRMfirm performance linkages: The role of the strength of the HRM system. Academy of management review, 29(2), 203-221. Buchan, J. (2004). What difference does (" good") HRM make?. Human resources for health, 2(1), 1. Guerci, M., Radaelli, G., Siletti, E., Cirella, S., Shani, R., (2015). The Impact of Human Resource Management Practices and Corporate Sustainability on Organizational Ethical Climates: An Employee Perspective, [Online], Accessed on: 7 December 201 Available at: https://link.springer.com/article/10.1007/s10551-013-1946-1 Heneman, R. L., Tansky, J. W., Camp, S. M. (2000). Human resource management practices in small and medium-sized enterprises: Unanswered questions and future research perspectives. Entrepreneurship: Theory and Practice, 25(1), 11-11. Kaufman, B. E. (2007). The development of HRM in historical and international perspective. Oxford Handbook of Human Resource Management, The, 19. Latham, G. P. (2007). A Speculative Perspective on the Transfer of Behavioral Science Findings to the Workplace: The Times They are A-Changin'. Academy of Management Journal, 50(5), 1027-1032. Ngai, E. W., Law, C. C., Wat, F. K. (2008). Examining the critical success factors in the adoption of enterprise resource planning. Computers in Industry, 59(6), 548-564. Scullion, H., Collings, D. (2011). Global talent management. Routledge. Sonnentag, S. (Ed.). (2003). Psychological management of individual performance. John Wiley Sons. Wojdacz, T. K., Dobrovic, A. (2007). Methylation-sensitive high resolution melting (MS-HRM): a new approach for sensitive and high-throughput assessment of methylation. Nucleic acids research, 35(6), e41.