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investigating levels of majority influence

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Investigating Levels of Majority Influence in Different Genders Abstract: An investigation into the effects of majority influence in different genders was carried out. In the investigation participants were shown images popularly regarded as disgusting and then were drawn into discussion regarding these items. Male and females responses were recorded and compared with in terms of conformity. The results were statistically significant; x2 = 23.7, p<o.o5. The implications of this investigation are that in modern day society males are less influenced to conform than women. Also that women are more likely to conform perhaps due to peer pressure and not wanting to be 'the odd one out'. Further could investigate the levels of conformity within a variety of ages, between males and females; since the study only focused on a fixed age group. Introduction: This investigation will focus on the effects of gender differences in majority influences. Majority influence (social influence) is a 'process by which a person's attitudes, beliefs or behaviours are modified by the presence or actions of others'. The aim of the investigation was to see whether or not there would be a higher score of majority influence in males or females. Also not a lot of research has been put on this study, although previous research, done by Zimbardo and Leippe (1991), had shown that women conform more than men. This could be due to peer pressure with friends and also women feeling too insecure to give out their true opinion on things. Also if the women participants in Zimbardo and Leippe's study were put in a certain situation and chose answers that nobody else agreed with this could leave them feeling very embarrassed and seen as the 'individual'. ...read more.


* Most importantly, all results collected from participants will be kept confidential, furthermore all the participants have a right to withdraw at any time if they feel any what uncomfortable. Results: The results will be analysed using Pearson's chi square inferential statistical test. This is suitable for the data in this investigation because: * It measures the relationship between 2 conditions, in which our case was the level of conformity between males and females. * We used nominal data * We used a independent group design Graph of Results: The results of the experiment can be seen in the graph: This graph represents the levels of conformity between male and females and shows the amount of times conformity took place. The females conformed 46 times in the experiment whilst the males only conformed 16 times. This graph shows that the females conformed more than males and also that my hypothesis was right since there was a significant difference between male and female conformity levels. The raw data can be found in appendix C. Findings of the Statistical Test: Following a statistical analysis of the data, it was found that the value of X2 = 23.7 (p< 0.01, df =1). So the experiment hypothesis is accepted, so we can conclude that 16-18 year old females conform to majority more than males. Discussion: Explanations of Findings: A possible reason why the females conformed more than the males could be to do with pressures with modern society. Or women having a low self-esteem and/or low confidence in themselves, so they may feel as if to conform is ways of making themselves feel better. ...read more.


Implications and Further Research: The implications of this investigation are important because it shows the different conformity between genders. Also it suggests that one gender group conforms more than the other. This goes well with Zimbardo and Leippe's study (1991) who stated that men conform less than women; this finding went well with the results we got. Also that men may conform less in order to feel more independent, whilst women may conform more due to them wanting to feel more accepted. This again goes with Zimbardo and Leippe's study. Further research in conformity within males and females could focus on how gender roles vary with ages, because different ages were not a variable in the present study. This could be further research I can focus on since we failed to take different ages into account. Also by doing this we would be able to see whether or not we would get the same levels of conformity as before. Most importantly it will increase the population validity of the study. Also we could use a larger number of participants to increase the population validity, although it may take too long to find a larger sample of participants. In addition participants would be required to write down their answers instead of calling them out, by doing this, this will make the levels of majority influence different from our previous research. Further research could also involve setting the participants in a different environment. By doing this, this will enable me to see whether or not different environments can affect the levels of majority influence between both genders. A possible hypothesis for this further research could be: 'A certain fixed age group will have a higher level of conformity then the other. ...read more.

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