It’s a fact: If you want to score with hot babes, you’ve gotta be the master of your domain. You have to master your social skills.
It’s easy to believe that looks are all-important, but it’s WRONG. As Joseph Matthews, aka Thundercat, says, “The single biggest, most limiting belief guys have that keeps them from succeeding is the belief that LOOKS MATTER.”
Much more important to women is how well you interact with others–men AND women alike. You can be the best-looking guy in the world, but if you can’t muster anything to say to a group of people, or don’t know how to hold their interest and make them WANT to get to know you, then you’re not going to attract women. Period.
» Read more: Social Science – The Top 5 Social Skills You Need to Attract Women
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If you are going to be doing leisure or social science research, these are the major data analysis techniques to use:
- Chi-square test. This test, signified by the symbol X2, is used to show the relationship between two nominal variables, which are variables that describe something, such as one’s gender or age. This test is designed to show if the relationship is significant or not, and if so, the null hypothesis of no difference will be rejected. The test is done by examining the counts or percentages in the cells of a table and comparing the actual counts with the expected count which would occur if there was no difference according to the null hypothesis, such as if there was an equal number of people of two different racial groups in a study of participation in two different leisure activities. One would expect the same number of members of different racial groups in each activity if there is no difference, but if one activity is more popular with one group and the other activity is more popular with the other group, then there would be a difference. The Chi-Square test involves summing up the differences between the counts or percentages and the expected counts or percentage, so that the larger the total, the bigger the Chi-square value would be. In other words, this value results from summing up the squared values of the differences.
- T-Test. This test involves comparing two means to determine if the differences between them are significant, based on rejecting the null hypothesis of no difference and accepting the alternative hypothesis that there is a difference. For example, the test might look at the average income of people participating in different recreational activities, such as golf versus bowling, to see if there is a difference between them, which might be expected, since golf is a fairly expensive sport while bowling is a relatively inexpensive sport. The test can be either used as a paired samples test or an independent samples test. In the paired samples test, the means of two variables, such as two different activities for everyone in the whole sample are compared, such as the amount of time spent on the Internet and the amount of time watching TV. By contrast, in the independent samples test, the means of two subgroups in the sample are compared in relation to a single variable to see if there are any differences between them, such as the amount of time teenagers and their parents spend on the Internet.
» Read more: The Major Data Analysis Techniques Used in Leisure and Social Science Research
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Research in social sciences largely depends on measurements and analysis and interpretation of numerical as well as non numerical data. Quantitative research methods focus on statistical approaches and qualitative methods are based on content analysis, comparative analysis, grounded theory, and interpretation (Strauss, 1990). Quantitative methods emphasise on objective measurements and numerical analysis of data collected through polls, questionnaires or surveys and qualitative research focuses on understanding social phenomena through interviews, personal comments etc. Quantitative and qualitative methods are studied within the context of positivistic and phenomenological paradigms (Papers4you.com, 2006).
The applications of research methods could be studied in the context of business and management or in social psychology to understand a social process. Some of the basic tools for qualitative or quantitative research are related to data collection methods which can be case studies, questionnaires or interviews (Simon et al, 1985). Research methods in management focus on leadership studies and leadership issues are examined in accordance with contingency theory and organisational theory. The effects of leadership are best studied with the help of qualitative or quantitative research methods and analyses of questionnaires sent to participants in management positions.
» Read more: Research in Social Sciences: Qualitative and Quantitative Methods
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