Gender Differences in Personality

Gender Differences in Personality With relevant theory and research evidence, critically discuss the view that there are gender differences in personality One’s sex, or biological reproductive chances, can be seen as a discrete component to one’s gender, or their psychological perception of themselves used for identification (Phares, 1991). These perceptions of gender differences can be extremely influential from an early age, as seen in Rubin, Provenzano and Luria (1974) study examining the gender-role stereotype labels parents place on their children from a young age. Girls were described as ‘cute’ or ‘sweet’ whereas boys were described as ‘stronger’, both gender specific traits, even though the babies were almost identical in weight, height and activity. Gender differences can be predominantly seen in personality and have been apparent since ancient civilizations. Monuments would depict essentially feminine or masculine characteristics, females were originally viewed as ‘incomplete’ or imperfect males, and these ideologies persisted for years with reinforcement from p hilosophers such as Aristotle and Thomas Aquinas (Friedman Schustack, 2009). Personality, defined by Holt (2012), is the ‘distinct and enduring way in which we perceive and behave in life situations’. The view of differences in personality gender traits can confirm the defined enduring nature, with the female assuming an expressive role, directed towards nurturing and caring tendencies. The male takes on an instrumental role, exerting dominance and competitiveness (Parsons, 1955). However, it is reasonable to question and explore how these gender differences can be measured, the theories behind them and whether female and male traits can really be distinguished into two separate categories in today’s society. The Five Factor Model (McCrae and Costa, 2003) is a trait approach that has attempted to identify and measure gender personality traits. They distinguish women as scoring higher in neuroticism and agreeableness, whereas men scored higher on some aspects of openness and extraversion, such as openness to ideas and excitement seeking. However neither gender scored significantly on conscientiousness (Chapman, Duberstein, SÃ ¶rensen Lyness, 2007). Other trait approaches have endeavoured to classify masculine and feminine traits as multi-dimensional and overlapping. For example the Bem Sex Role Inventory classifies individuals to feminine, masculine, undifferentiated and androgynous (expressing both female and male traits) categories (Bem, 1974). Sexual behaviour and emotion has also been studied to a great extent to help further differentiate between gender differences in personality. Schmitt, Shackelford and Buss (2001) stated that men prefer short-term sexual relations with many partn ers, compared to women who prefer one stable partner over a long period of time. This can be seen in Clark and Hatfield (1989) findings where 3 out of 4 male students would enthusiastically agree to a one night stand compared to none of the women accepting the offer. Holt et al (2012) also state that when looking for a partner, men would seek a younger woman, whereas women prefer older and ‘well to do’ men. These are all gender specific differences in personality that can be explained by gender difference theories. Firstly, biological effects on sex have been suggested to have a major influence on gender personality and behaviour. In terms of genetic influence, the prenatal stage of foetus development can be manipulated to affect gender-specific traits when born, such as higher levels of aggression. Parsons (1980) exposed animal male and female embryos to androgens, the male hormone, during early prenatal development. After birth, both sexes produced higher levels of aggressive play compared to animals not exposed, which suggests the presence of male hormones had an influence on the physical development and personality of the foetus. This supports the idea that aggression can be seen to be predominantly a ‘male trait’ in Reinisch and Sanders (1986) findings. Male and female participants were asked to rate themselves on their physical and verbal aggression. Even though both sexes reported similar verbal aggression, males reported much higher demonstrations of physical aggression. Ho wever, this is not always the case, as Feshbach (1969) work describes, females largely exclude and reject newcomers compared to males, which is a form of indirect aggression, suggesting the cognitive intent of the aggression presented by females may be further internalised, compared to the outward aggressive display be males. This biological view to gender differences in personality can be related to the evolutionary perspective that males and females are genetically adapted for successful reproduction and preservation of their genes. Evolutionary pressures led to natural selection that created fundamentally different gender roles to promote survival (Shaffer, 2009). Males needed to seek as many partners as possible to ‘spread’ their gene, whilst females needed to avoid wasting their short reproductive opportunities by finding a mate that will protect and provide. This in turn created the gender roles seen today including masculine traits in their personality such as co mpetitiveness, assertiveness and aggression, compared to feminine traits such as nurturing, kindness and gentleness (Geary, 1999). Furthermore, Buss (1995) describes male superiority in visual spatial performance as skills gained from natural selection due to their advantage for hunting, killing and providing for the family. The evolutionary theory can be seen in sex differences in the personality trait jealousy, for example Buss, Larsen, Western and Semmelroth (1992) found that men portray more jealousy over the idea of their partner sleeping with another male, compared to women who present more jealousy over the idea of their partner being in love with another woman. Males don’t want the risk of providing resources for a child that may not be theirs, whilst women don’t want their mate to abandon them and leave them with nothing. However, these evolutionary differences in gender personality are not always consistent. Buss (2003) found that some women instead like to e ngage in casual sex with multiple partners because experience has resulted in securing better genes and better resources. This consistency between both sexes therefore leads to question whether females and males really do have specific differences, and suggests socialisation and learned experiences may have more of an impact on gender differences than biology. The Behaviourist approach to gender differences suggests that social learning has created gender-typed personality characteristics. Through operant learning, modelling, observation and classical learning, children develop gender- typed traits that can be used for identification and as a primary socialiser (Bandura Bussey, 2004). For example Henley (1977) describes operant conditioning in a little girl called jenny. Her mother tells jenny off for dirtying her party clothes, and praises her for showing passive and gentle characteristics, which are all reinforcements. Moreover, Peters father wrestles with peter, watches football games with him and promotes more aggressive behaviour, teaching and confirming to peter that these are the traits a male should portray. Repetti (1984) further explains how these gender traits are reflected in the types of toys children are given to play with. Girls were found to be given female orientated toys such as dolls, whereas boys were given masculine t oys such as cars or guns, reflecting the gender-typed personality traits. Also, Maccoby and Wilson (1957) studied the orientation towards same-sex role models in children. They found after the children had watched a film presenting interactions between opposite sex characters, the children recalled more information about the character that mirrored their own sex. The children’s memories had a ‘sex-linked’ quality. However, it could be suggested that socialisation is not a successful theory in determining gender differences in personality. Friedman and Schustack (2009) describe the David Reimer case, where a child, who was born a boy, was brought up and socialised to be a girl after a circumcision went wrong. David was given hormones and was taught to be caring, nurturing and take on a feminine role. However when David reached his teenage year he returned to his male identity, after what he described as an unhappy and ‘misleading’ childhood. Money and Ehrhardt (1972) insist that socialisation is still primary to gender assignment, as their research findings of androgenized girls suggest that before 18 months of age, it is possible to bring up a child as the opposite gender because the child hasn’t ‘internalised’ the gender at that age. However ‘failure’ to correctly socialise gender can still be seen today. Friedman Schucstack (2009) outline Dr. Joan Roughgarden case. She was born a boy and lived 52 years of her life as one. She was socialised to be masculine and had the biological make up of a boy, despite always seeing herself as a girl, and consequently ended up having a sex change. These findings suggest that human gender personality cannot solely be reliant on socialisation, however they do suggest that there still are differences within gender traits and socialisation advocates what traits each gender ‘should’ portray. The significance of different gender traits in gender socialisation is part of the explanation for gender schemas incorporated in the cognitive approach to gender differences. The gender schema theory suggests that culture and socialisation provide organised mental structures that help understanding of the way in which a male or female should behave and think (Bem, 1981). Gender schemas act as cognitive filters to help humans depict gender relevant material, and to use it in everyday life. For example Deaux and Major (1987) describe these cognitive filters being activated by each gender as females enter a beauty salon and males enter a car repair shop. Again, gender differences can be seen to be realistic and apparent. Nevertheless, the theories above do not explain concisely why there are female and male traits in personality. An Integrative theory could be used to see how biology, social-learning and cognitive developmental can overlap and contribute equally to gender differences. This theory suggests that different processes are important at different stages of development. As Halpern (1997) suggests, the prenatal stage consists of biological gender processes developing physically. Birth to three years consists largely of social learning about gender differences and gender schema comes in at three to six years of age. This theory shows a dynamic and interpretive way in which gender traits can be developed and distinguished. On the other hand, all these theories do not take in to account cross cultural differences, individual findings and the growing concept that gender differences all together may be disappearing. Sue and Sue (1999) suggest that African American families, compared to white American families, are observed to be matriarchal, where the mother of the family is the head decision maker. These findings suggest that what would be considered as ‘masculine’ traits can be seen presented in women. Mead (1935) observed differences between two New Guinea people, where in one group, both sexes would display certain considered ‘female traits’ of nurturing and caring, and both sexes of the other group would display certain male trait characteristics such as aggressiveness. These trait findings are opposite to what would be expected to be found in western culture and can suggest that gender traits are not as specific and defined as first thought. Research also suggests that soci al-class can affect the flexibility and ‘acceptable’ gender traits presented by men and women. For example Shaffer (2009) states that people from middle-class background have overall more acceptable views of gender trait presentation in men and women. They may feel more flexible to the idea of a male demonstrating a nurturing role, and a woman being the sole bread winner of the family, than working-class people. This can be seen as a typically modern idea, and can suggest that women and male gender personality traits are swapping, in terms of the roles they take on. This can therefore suggest that male and female gender personality traits are not so specific, but are only presented by the certain sex at certain times. This idea can be seen in Weisner and Wilson-Mitchell (1990) study where children raised in ‘countercultural’ homes, instead of traditionally at home with a mother and father, are seen to present an equal amount of male and female traits, and a re less gender-stereotyped. However, these children are still very aware of the traditional gender traits and the differences between them. Finally, this is not to suggest that cultural differences don’t mirror typical western views of gender trait differences. Williams and best (1990) carried out a longitudinal study over 30 different countries were they found overlapping traits most common found in both women and men, such as aggression and nurturing tendencies. Overall, gender differences in personality are both clearly affected by biological and behavioural influences. Males are born with an evolutionary inclination to behave aggressively, and this behaviour is encouraged by socialisation from parents and other role models. This can be seen in female evolutionary inclinations to nurture and protect their children, and socialisation such as being encouraged to play with dolls and care for them promotes these gender traits. Generally, gender traits in personality present more similarities between females and males than they do differences, but this does not mean they do not exist and are not portrayed differently over cultures and social classes. The way gender traits in personality are measured can determine to what extent male and females differ, but with modern ideas becoming the forefront of gender trait presentation, the distinguishing of gender differences in personality may be swapping over, becoming narrower, and becoming far less de fined.

Differences between The Birds the Movie and The Birds short story Essay

The Birds   Ã‚  Ã‚  Ã‚  Ã‚  The Birds, the movie was directed by Alfred Hitchcock and was based on the short story â€Å"The Birds† written by Daphne du Murrier. If you would have read the book and then watched the movie, you would see that very few things are the same. In both the short story and the movie flocks of gulls, robins, crows, and sparrows join each other. This is really weird because different species of birds never work together. The story and the film both have the same climate. It is cold and chilly; â€Å"the ground is frozen and it will be a black winter.† The climate gives the versions of the story a creepy and suspenseful feeling.   Ã‚  Ã‚  Ã‚  Ã‚  Each version also has the main characters boarding up the windows. Anyone who thought the birds won’t attack are usually found dead, but in the movie they are found with their eyes pecked out. Also, both the story and the movie have REALLY bad endings! They aren’t very similar, but they both leave you hanging. When you see a movie or read a book you want to know what happens to the main characters. In these two, you didn’t get an ending. They left you hanging and for some people that ruins it all. The birds attack in the same way also. They come through the house, peck at the windows, and try to come through the doors. They succeed in coming through upstairs in both the film and the short story.   Ã‚  Ã‚  Ã‚  Ã‚  The short story and the film have the same plots and the same conflict ...

Math Studies Sl Internal Assessment

Dependency of a Boxer’s Win rate on Reach and Gender Antonio Paolo Gomez Candidate No. 003902-006 Northbridge International School Cambodia Math Studies Internal Assessment Word Count: 1655 Statement of Task3 Plan3 Data4 Math Processes5 Simple math processes:5 Pearson’s Correlation Coefficient r:7 Chi-Square8 Discussion/Validity10 Conclusion10 Works Cited11 Statement of Task Boxing is a very well known sport around the world, where two disciplined athletes face off in a ring, trading blows until one of them submits or until judges decide a winner.The sport revolves around throwing blows with their fists, and to organize said athletes, their characteristics are measured, and their accomplishments are recorded. Before a fight is held, a fighter’s profile is summarized, mentioning the person’s height, weight, reach, and their win/loss record. All of what is mentioned is said to play a big part in the flow of the match. The purpose of this investigation is to determine if there is a relationship between a boxer’s reach and his winning rate. The data that will be taken will be professional boxers’ measured reach and their counts of wins and losses for winning rate.The measurement of a boxer’s reach is used to determine how far he can extend his punch. The measure of boxers’ reaches and their records of wins and losses will be used to determine if reach is one of the larger factors that affect an athlete’s chances in a match. Plan The investigation will include data gathered from professional boxers, which are their reach and their counts of wins and losses. The data that will be collected can be collected from official sites online, which have brief profiles of athletes’ measurements. I will be using official sites since they tend to be up to date and have accurate and legit information.The amount of data collected will consist of 30 athletes, half of whom are male and half are female. The data wi ll be collected from official boxing sites such as BoxRec. com, which contains the profiles of numerous official boxers and their measurements, which includes their reach and wins and losses. The data for one athlete will consist of his reach and his win/loss record. I will attempt to avoid any professional athletes that are relatively new to the professional stage, so I will be looking at boxers with around at least five years of experience.Once the data has been acquired, the data will be analyzed using different mathematical processes. A scatter plot will be used to plot out said data. The correlation coefficient r will be calculated. The   test of independence will be used to determine if there is a dependency between a boxer’s gender and winning rate. Data | Males| | Boxer| Reach (cm)| Win Rate (%)| 1| 170| 90. 00| 2| 173| 96. 77| 3| 183| 96. 88| 4| 194| 88. 57| 5| 183| 87. 88| 6| 207| 92. 31| 7| 177| 94. 29| 8| 183| 72. 34| 9| 201| 100. 00| 10| 198| 95. 24| 11| 198| 8 0. 77| 2| 179| 86. 21| 13| 179| 89. 29| 14| 183| 87. 88| 15| 180| 89. 66| | Females| | Boxer| Reach (cm)| Win Rate (%)| 1| 165| 89. 47| 2| 161| 86. 67| 3| 167| 66. 04| 4| 166| 75. 00| 5| 162| 81. 25| 6| 168| 93. 33| 7| 163| 76. 47| 8| 162| 75. 00| 9| 159| 88. 46| 10| 167| 86. 21| 11| 176| 80. 95| 12| 171| 83. 87| 13| 168| 82. 61| 14| 166| 78. 95| 15| 169| 90. 48| From the scatter plot using both male and female sets of data, we can predict that the calculated correlation would be weak and that a boxer’s win rate weakly correlates with his/her reach.This can be seen as the data points are spread and plotted quite far from the line of best fit. Math Processes Simple math processes: Average: Males * Reach in centimeters: 170+173+183+194+183+207+177+183+201+198+198+179+179+183+180=2788 2788/15= 185. 8666667 cm * Win rate in percentage: 90. 00+96. 77+96. 88+88. 57+87. 88+92. 31+94. 29+72. 34+100+95. 24+80. 77+86. 21+89. 29+87. 88+89. 66= 1348. 09 1348. 09/15= 89. 87% Average: Fema les * Reach in centimeters: 165+161+167+166+162+168+163+162+159+167+176+171+168+166+169= 2490 2490/15= 166 cm * Win rate in percentage: 89. 7+86. 67+66. 04+75+81. 25+93. 33+76. 47+75+88. 46+86. 21+80. 95+83. 87+82. 61+78. 95+90. 48=1234. 76 1234. 76/15=82. 32 Average: both genders * Reach in centimeters: 2788+2490=5278 5278/30=175. 93 cm * Win rate in percentage: 1348. 09+1234. 76= 2582. 85 2582. 85/30= 86. 095% We can see a small difference in win rate between the genders, with male boxers having a higher win rate by about 7%. We can see a bigger difference between the reach of the two genders but this would most likely be because men tend to grow and develop their bodies naturally larger than women.Standard Deviation: Reach: Males: Sx=170-185. 872+173-185. 872+183-185. 872+194-185. 872†¦180-185. 87215 Sx=10. 626 Females: Sx=165-1662+161-1662+167-1662+166-1662+162-1662†¦169-166215 Sx=4. 163 Both Genders: Sx=170-175. 932+173-175. 932+183-175. 932+194-175. 932†¦169-175 . 93230 Sx=12. 798 We are able to see that the standard deviation is greater for the male boxers female boxers. We can assume that the pieces of data from the men are spread farther from the mean as compared to the data from the women. This means that in regards to the data collected, female boxers seem to be closer n their measured reach as compared to the males. The standard deviation for both groups surpasses the calculated standard deviation for the separate male and female groups, meaning that as a whole range of data, the reaches recorded altogether are even more spread out from the average as compared to the genders separately. Standard Deviation: Win rate: Males: Sx=90-89. 872+96. 77-89. 872+96. 88-89. 872+88. 57-89. 872†¦89. 66-89. 87215 Sx=6. 67 Females: Sx=89. 47-82. 322+86. 67-82. 322+66. 04-82. 322+75-82. 322†¦90. 48-82. 32215 Sx=6. 995 Both Genders: Sy=90. 00-86. 0952+96. 7-86. 0952+96. 88-86. 0952+88. 57-86. 0952†¦90. 48-86. 095230 Sy = 7. 8087 We can s ee from the calculated standard deviations that the standard deviation for the win rate of males and females are close to each other, meaning that both have pieces of data that are similarly far from the calculated mean. In regards to all data recorded regardless of gender, the standard deviation is found to be slightly higher, meaning that the pieces of data for both genders are slightly farther from the mean as compared to the separate gender groups of data. Subject| Reach| Win Rate| xy| | 170| 90| 15300| 2| 173| 96. 77| 16741. 21| 3| 183| 96. 88| 17729. 04| 4| 194| 88. 57| 17182. 58| 5| 183| 87. 88| 16082. 04| 6| 207| 92. 31| 19108. 17| 7| 177| 94. 29| 16689. 33| 8| 183| 72. 34| 13238. 22| 9| 201| 100| 20100| 10| 198| 95. 24| 18857. 52| 11| 198| 80. 77| 15992. 46| 12| 179| 86. 21| 15431. 59| 13| 179| 89. 29| 15982. 91| 14| 183| 87. 88| 16082. 04| 15| 180| 89. 66| 16138. 8| 16| 165| 89. 47| 14762. 55| 17| 161| 86. 67| 13953. 87| 18| 167| 66. 04| 11028. 68| 19| 166| 75| 12450| 20| 162| 81. 25| 13162. 5| 21| 168| 93. 33| 15679. 44| 22| 163| 76. 47| 12464. 1| 23| 162| 75| 12150| 24| 159| 88. 46| 14065. 14| 25| 167| 86. 21| 14397. 07| 26| 176| 80. 95| 14247. 2| 27| 171| 83. 87| 14341. 77| 28| 168| 82. 61| 13878. 48| 29| 166| 78. 95| 13105. 7| 30| 169| 90. 48| 15291. 12| sum| 5278| 2582. 85| 455634| average| 175. 9333| 86. 1| 15187. 8| Pearson’s Correlation Coefficient r: Covariance: x-x(y-y)n or xyn-x y x=175. 93 y=86. 095 xy=455634. 04 455634. 0430=15187. 80133 15187. 80133-175. 9386. 095=41. 10789 Correlation: r=SxySxSy Sxy=41. 10789 Sx=12. 798 Sy=7. 8087 41. 1078912. 798(7. 8087)=. 411344119 r=. 411344119 r2=. 1692039842Correlation coefficient r is calculated to be very weak, meaning that reach and win rate show very little correlation and that a boxer’s reach is not a big factor of his or her chances of victory. With low correlation between a boxer’s reach and win rate, I will now see if gender is a factor of an athlete’s win rate by calculating chi squared. Chi-Square Observed Values | Numerical| Numerical| Total| Category| A| B| A+B| Category| C| D| C+D| Total| A+C| B+D| N| Calculating Expected Values | Numerical| Numerical| Total| Category| (A+B)(A+C)/30| (A+B)(B+D)/30| A+B| Category| (C+D)(A+C)/30| (C+D)(B+D)/30| C+D|Total| A+C| B+D| N| Intervals have been decided by average of the winning rates of the two genders. (82. 32+89. 87)/2=86. 095 Observed Data Values | Win rate > 86%| Win rate ? 86%| Total| Male| 2| 13| 15| Female| 9| 6| 15| Total| 11| 19| 30| Calculated Expected Data Values | Win rate > 86%| Win rate ? 86%| Total| Male| 5. 5| 9. 5| 15| Female| 5. 5| 9. 5| 15| Total| 11| 19| 30| Degrees of Freedom Df=(Rows-1) (Columns-1) (2-1)(2-1) = 1 ?2=fo-fe2fe fo = Observed Frequency fe = Expected Frequency ?2=1-323+7-7. 527. 5+7-4. 524. 5+5-323+8-7. 527. 5+2-4. 524. 5 Chi Square Value Table o| fe| fo-fe| (fe-fe)^2| (fo-fe)^2/fe| 2| 5. 5| 3. 5| 12. 25| 2. 227272727| 13| 9. 5| -3. 5| 12. 25| 1. 289473684| 9 | 5. 5| -3. 5| 12. 25| 2. 227272727| 6| 9. 5| 3. 5| 12. 25| 1. 289473684| | | | sum:| 7. 033492823| ?2= 7. 033 Degrees of freedom= 1 Significance level= 5% 5% significance is used because it is the most common level of significance used. HO= Gender and win rate are independent of each other H1= Gender and win rate are dependent of each other The ? 2 critical value at 5% significance with 1 degrees freedom is found to be 3. 841. The ? 2 value is greater than the critical value: 7. 33>3. 841, the null hypothesis is rejected and it can therefore be assumed that a boxer’s win rate is dependent of his or her gender. Discussion/Validity The investigation carried out to observe the correlation of Win rate and reach and win rate and gender has a few limitations that have affected the outcome of the results. One limitation is that although it is taken into account the reach of each boxer, their size and weight places them in different classes for professional fights. This means that f ighters would normally be fighting people that have similar size, and theoretically, similar reach.With similar reach between two fighting boxers, the outcome of an athlete’s history of fights really could have been affected by other factors such as tactics and strength. Another limitation would be the fact that all of the collected pieces of data are all of high win rates. In boxing records and leagues, if there is a boxer who has won 90% of his matches, there should also be a boxer who has lost that many of his matches as well. The collected data covers 30 pieces. This is done to supply a large amount of data, enough to give reasonably accurate results.Half of the data gathered covered male boxers and the other half covered female for the purpose of investigating the dependency of win rate on gender with chi squared. One limitation in regards to the genders, is that there is no co-ed boxing, meaning that females and males do not compete with each other and are separated int o two genders for boxing matches. Although there is no specified threshold for winning rates in boxing, the intervals decided in the chi squared tables can be justified as the below and above averages for the average win rates of the two genders.Conclusion The found ? 2 value of 7. 033 rejects the null hypothesis, that Win rate for boxers is independent of their gender and accepts the alternative hypothesis, that a boxer’s win rate is dependent of a boxer’s gender. The extent of this calculation is affected by the nature of the data collected. The data that was collected for males and females consisted of high win rate percentages, and in boxing, when there is an individual who has won 70% of his matches, there is sure to be an athlete who has lost 70% of his matches as well.The investigation shows that there is a very low correlation between reaches and win rate for boxers regardless of their gender. This outcome could have been affected because of one of the mentione d limitations above, where boxers of similar size and weight are placed in the same class and fight, so reach becomes less of a factor for victory as compared to strength, speed, and tactics. Works Cited Boxrec Boxing Records Ratings. 4 November 2012 . Boxrec. Boxrec Boxing Records.

Why Applying to as Many Jobs as Possible can be a Mistake

Why Applying to as Many Jobs as Possible can be a Mistake There are two mistakes when applying for jobs. One is to apply to every job in sight, and the other is to apply for multiple positions within the company. Learning the reasons these are mistakes can keep an individual from wasting time and concentrate on the jobs that the individual really wants. If you do not want to waste time finding the right jobs, you can sign up for the right jobs to be sent to you when they become available. Applying for Multiple Jobs at the Same TimeIndividuals who apply for multiple jobs at the same time on job search sites tend to follow the same pattern. Because they are flooding the job websites with multiple applications, they are not taking the time to individualize job applications to show that they are qualified to fill particular jobs. This is the reason why those who send out multiple applications rarely hear back from recruiters. It is better to take the time to research the company and rework a job application to fit the description of the positio n.Focus on Particular JobsThe purpose of a resume is to sell the talents of a worker to a company. The resume should show that the applicant has the credentials to do a particular job and would be a good fit in the position and with the company. A candidate whose resume is too generic will most likely have his or her resume end up in the bottom of the pile.Be Careful Where You Are ApplyingHiring managers or recruiters may post job ads on multiple sites looking for the right match for a job. One mistake job applicants can make is not noticing that they are applying for the same position with the same company over and over. However, the recruiter does notice and may think that the job applicant is sending out multiple resumes without any discretion.Don’t Apply for Nonexistent JobsSome people make the mistake of applying for jobs at a company where none are available. After sending out possibly hundreds of applications, it should be surprising when no responses are forthcoming. Apply only to real job openings where the company is actively looking to fill a position.Applying for Multiple Jobs at the Same CompanyThis can be a big mistake. Recruiters see the job applications as they come in, and an individual who applies for multiple positions within the same company can come across as desperate and willing to take any job. Applying for jobs in this way can end up with the recruiter noting your desperation on your application file. In other words, this is a good way to never get called in for an interview. Recruiters want individuals who actually want particular jobs because they are more likely to stay in the position.How to Apply for Multiple Jobs at the Same CompanyIf a job seeker has an eye to work for a particular company, there are ways to send multiple application, limited to two or three, and still be considered, but it takes finesse to do so. The size of the company can make a difference. A large company may employ multiple recruiters, and that can i ncrease the odds that the same individual will not spot multiple applications from the same person. In addition, focusing only on jobs that are in the same category and for which an individual is fully qualified can make a difference.Getting Your Name Out ThereBesides letting your friends and coworkers know that you are job hunting, it can also be a good idea to use social media such as Facebook or LinkedIn to promote yourself. Many recruiters now take a look at a job applicant’s LinkedIn profile because it can contain much more job information and history than a resume. No matter what an individual’s field of employment is, using job search sites or a job search service can be enhanced by using social media.Applying for a job and getting a callback for an interview takes dedication and focusing on skills and credentials that apply to particular job descriptions. Just as knowing how to get considered for a job is important, so is using the right means to find that job. TheJobNetwork can help by searching job listings that match your skills and expertise to send you email alerts around the clock that might interest you. All you have to do is fill out your qualifications and job interests and TheJobNetwork does the rest. Sign up with TheJobNetwork and get started now.

Dunkirk Evacuation

Dunkirk Evacuation From May 26 to June 4, 1940, the British sent 222 Royal Navy ships and about 800 civilian boats to evacuate the British Expeditionary Force (BEF) and other Allied troops from the seaport of Dunkirk in France during World War II. After eight months of inaction during the Phoney War, British, French, and Belgian troops were quickly overwhelmed by Nazi Germany’s blitzkrieg tactics when the attack began on May 10, 1940. Rather than be completely annihilated, the BEF decided to retreat to Dunkirk and hope for evacuation. Operation Dynamo, the evacuation of over a quarter million troops from Dunkirk, seemed a near impossible task, but the British people pulled together and ultimately rescued about 198,000 British and 140,000 French and Belgian troops. Without the evacuation at Dunkirk, World War II would have been lost in 1940. Preparing to Fight After World War II started on September 3, 1939, there was a period of approximately eight months in which basically no fighting occurred; journalists called this the â€Å"Phoney War.† Although granted eight months to train and fortify for a German invasion, the British, French, and Belgian troops were quite unprepared when the attack actually began on May 10, 1940. Part of the problem was that while the German Army had been given hope of a victorious and different outcome than that of World War I, the Allied troops were uninspired, sure that trench warfare once again awaited them. The Allied leaders also relied heavily on the newly built, high-tech, defensive fortifications of the Maginot Line, which ran along the French border with Germany – dismissing the idea of an attack from the north. So, instead of training, the Allied troops spent much of their time drinking, chasing girls, and just waiting for the attack to come. For many BEF soldiers, their stay in France felt a bit like a mini vacation, with good food and little to do. This all changed when the Germans attacked in the early hours of May 10, 1940. The French and British troops went north to meet the advancing Germany Army in Belgium, not realizing that a large portion of the German Army (seven Panzer divisions) were cutting through the Ardennes, a wooded area that the Allies had considered impenetrable. Retreating to Dunkirk With the German Army in front of them in Belgium and coming up behind them from the Ardennes, the Allied troops were quickly forced to retreat. The French troops, at this point, were in great disorder. Some had become trapped within Belgium while others scattered. Lacking strong leadership and effective communication, the retreat left the French Army in serious disarray. The BEF were also backpedalling into France, fighting skirmishes as they retreated. Digging in by day and retreating at night, the British soldiers got little to no sleep. Fleeing refugees clogged the streets, slowing the travel of military personnel and equipment. German Stuka dive bombers attacked both soldiers and refugees, while German soldiers and tanks popped up seemingly everywhere. The BEF troops often became scattered, but their morale remained relatively high. Orders and strategies among the Allies were changing quickly. The French were urging a regrouping and a counterattack. On May 20, Field Marshal John Gort (commander of the BEF) ordered a counterattack at Arras. Although initially successful, the attack was not strong enough to break through the German line and the BEF was again forced to retreat. The French continued to push for a regrouping and a counteroffensive. The British, however, were starting to realize that the French and Belgian troops were too disorganized and demoralized to create a strong enough counteroffensive to halt the highly effective German advance. Much more likely, believed Gort, was that if the British joined the French and Belgian troops, they would all be annihilated. On May 25, 1940, Gort made the difficult decision to not only abandon the idea of a joint counteroffensive, but to retreat to Dunkirk in the hopes of an evacuation. The French believed this decision to be desertion; the British hoped it would allow them to fight another day. A Little Help From the Germans and the Defenders of Calais Ironically, the evacuation at Dunkirk could not have happened without the help of the Germans. Just as the British were regrouping at Dunkirk, the Germans stopped their advance just 18 miles away. For three days (May 24 to 26), German Army Group B stayed put. Many people have suggested that Nazi Fuhrer Adolf Hitler purposely let the British Army go, believing that the British would then more readily negotiate a surrender. The more likely reason for the halt was that General Gerd von Runstedt, the commander of German Army Group B, didn’t want to take his armored divisions into the swampy area around Dunkirk. Also, the German supply lines had become greatly overextended after such a quick and lengthy advance into France; the German Army needed to stop long enough for their supplies and infantry to catch up. German Army Group A also held off attacking Dunkirk until May 26. Army Group A had become entangled in a siege at Calais, where a small pocket of BEF soldiers had holed up. British Prime Minister Winston Churchill believed the epic defense of Calais had a direct correlation to the outcome of the Dunkirk evacuation. Calais was the crux. Many other causes might have prevented the deliverance of Dunkirk, but it is certain that the three days gained by the defence of Calais enabled Gravelines waterline to be held, and that without this, even in spite of Hitler’s vacillations and Rundstedt’s orders, all would have been cut off and lost.* The three days that German Army Group B halted and Army Group A fought at the Siege of Calais were essential in allowing the BEF a chance to regroup at Dunkirk. On May 27, with the Germans once again attacking, Gort ordered a 30-mile-long defensive perimeter to be established around Dunkirk. The British and French soldiers manning this perimeter were charged with holding the Germans back in order to give time for the evacuation. The Evacuation From Dunkirk While the retreat was underway, Admiral Bertram Ramsey in Dover, Great Britain began considering the possibility of an amphibious evacuation starting on May 20, 1940. Ultimately, the British had less than a week to plan Operation Dynamo, the large-scale evacuation of British and other Allied troops from Dunkirk. The plan was to send ships from England across the Channel and have them pick up troops waiting on the beaches of Dunkirk. Although there were over a quarter of a million troops waiting to be picked up, the planners expected to only be able to save 45,000. Part of the difficulty was the harbor at Dunkirk. The gentle shelving of the beach meant that much of the harbor was too shallow for ships to enter. To solve this, smaller craft had to travel from ship to beach and back again to gather passengers for loading. This took a lot of extra time and there were not enough small boats to fulfill this job quickly. The waters were also so shallow that even these smaller craft had to stop 300 feet from the waterline and soldiers had to wade out to their shoulders before they could climb aboard. With not enough supervision, many desperate soldiers ignorantly overloaded these small boats, causing them to capsize. Another problem was that when the first ships set out from England, starting on May 26, they didn’t really know where to go. Troops were spread out over 21-miles of beaches near Dunkirk and the ships were not told where along these beaches they should load. This caused confusion and delay. Fires, smoke, Stuka dive bombers, and German artillery were definitely another problem. Everything seemed to be on fire, including cars, buildings, and an oil terminal. Black smoke covered the beaches. Stuka dive bombers attacked the beaches, but focused their attention along the waterline, hoping and often succeeding in sinking some of the ships and other watercraft. The beaches were large, with sand dunes in the back. Soldiers waited in long lines, covering the beaches. Although exhausted from long marches and little sleep, soldiers would dig in while waiting their turn in line – it was too loud to sleep. Thirst was a major problem on the beaches; all the clean water in the area had been contaminated. Speeding Things Up The loading of soldiers into small landing craft, ferrying them to the larger ships, and then coming back to reload was an excruciatingly slow process. By midnight on May 27, only 7,669 men had made it back to England. To speed things up, Captain William Tennant ordered a destroyer to come directly alongside the East Mole at Dunkirk on May 27. (The East Mole was a 1600-yard-long causeway that was used as a breakwater.) Although not built for it, Tennant’s plan to have troops embark directly from the East Mole worked wonderfully and from then on it became the main location for soldiers to load. On May 28, 17,804 soldiers were taken back to England.   This was an improvement, but hundreds of thousands more still needed saving. The rearguard was, for now, holding off the German assault, but it was a matter of days, if not hours, before the Germans would break through the defensive line. More help was needed. In Britain, Ramsey worked tirelessly to get every single boat possible – both military and civilian across the Channel to pick up the stranded troops. This flotilla of ships eventually included destroyers, minesweepers, anti-submarine trawlers, motor boats, yachts, ferries, launches, barges, and any other kind of boat they could find. The first of the â€Å"little ships† made it to Dunkirk on May 28, 1940. They loaded up men from the beaches east of Dunkirk and then headed back through the dangerous waters to England. Stuka dive bombers plagued the boats and they had to be constantly on the lookout for German U-boats. It was a dangerous venture, but it helped save the British Army. On May 31, 53,823 soldiers were brought back to England, thanks in a large part to these little ships. Near midnight on June 2, the St. Helier left Dunkirk, carrying the very last of the BEF troops. However, there were still more French troops to rescue. The crews of the destroyers and other craft were exhausted, having made numerous trips to Dunkirk without rest and yet they still went back to save more soldiers. The French also helped by sending ships and civilian craft. At 3:40 a.m. on June 4, 1940, the very last ship, the Shikari, left Dunkirk. Although the British had expected to only save 45,000, they succeeded in rescuing a total of 338,000 Allied troops. Aftermath The evacuation of Dunkirk was a retreat, a loss, and yet the British troops were greeted as heroes when they got home. The whole operation, which some have termed â€Å"the Miracle of Dunkirk,† gave the British a battle cry and became a rallying point for the rest of the war.    Most importantly, the evacuation of Dunkirk saved the British Army and did allow it to fight another day.    * Sir Winston Churchill as quoted in Major General Julian Thompson, Dunkirk: Retreat to Victory (New York: Arcade Publishing, 2011) 172.

Should College Ban Alcohol Research Proposal Example | Topics and Well Written Essays - 1500 words

Should College Ban Alcohol - Research Proposal Example Coupled with many other problems, the freedom to drink alcohol in colleges has been seen to be responsible for a number of social ills. A section of the society feels that colleges should ban alcohol so that students do not drink on campus (Correia 56). Similarly, there are also others who feel that colleges should not ban alcohol. Both sides of the argument have advanced various reasons for their arguments. Nothing much in those two wide opinions has changed. The debate still rages. Pro-Alcohol Ban in Colleges Arguments Alcohol Drinking in Colleges Impact Negatively in Learning Outcomes To begin with, supporting side of the argument on whether colleges should ban alcohols has advanced various reasons for this position. Research results published in AlcoholEdu between 2008-2009 found out that alcoholism in college impacts negatively on learning objectives and outcome. The authors say, â€Å"The number of drinks consumed correlates with the number of classes missed.† By this, the authors imply that the more a student drinks in college, the more such a student will be inclined to miss classes. The authors feel that it should be the responsibility of the society to shape the development of such student so that do not waste study time. The strength of this assertion is that it logically points out that missed classes may most likely result in a fail grade in the unit concerned. Therefore, as such students mature up with time, they should be guided on the right path by banning alcohol on campus. Even so, it appears that such an argument is weak in the sense that it insinuates that colleges should babysit adult students.

Discussion thre Assignment Example | Topics and Well Written Essays - 250 words

Discussion thre - Assignment Example has a moral duty to care for those suffering from Ebola and the decision about whether or not to administer the drug touches on this duty (Jackson, 2006). The ethical principles that are relevant to this event are respect for autonomy, beneficence, non-malfeasance, and justice. Respect for autonomy requires that healthcare providers regard patients’ right to decide what happens to their bodies. Beneficence focuses on doing the best thing to a patient in all situations, while under non-malfeasance, healthcare providers endeavor not to do any harm to patients. Upholding justice makes healthcare providers to deal fairly with all patients in giving treatment or distributing scarce resources. Respect for autonomy, beneficence, and non-malfeasance are in conflict in this case. Respect for autonomy is more compelling in this case because it will allow the testing of the experimental drug with a patient’s consent. This principle would suggest and offer support for a resolution by allowing the experimenter to test the drug without breaking the law and the patient might benefit if the drug works (Sugarman & Sulmasy, 2010). The distinction between consent and informed consent has implications for professional healthcare providers. Informed consent protects professional healthcare providers from legal action and consent does not. Finally, in education related to informed consent, APRN should emphasize the need for healthcare providers to provide patients with sufficient information regarding any procedure for which they might intend to carry out on patients (Maclean,