Help with statistical technique for research

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SUMMARY

The discussion centers on selecting appropriate statistical techniques for analyzing survey data related to gender disparities in engineering and math-intensive fields. The user conducted a survey measuring life interests, values, and attitudes towards gender roles using a four-point scale. Key statistical methods suggested include Chi-square tests and correlation analysis, with an emphasis on the importance of hypothesis testing and estimation in planning statistical analysis. The user is advised to clarify their hypotheses and parameters for effective data analysis.

PREREQUISITES
  • Understanding of basic survey design principles
  • Familiarity with statistical concepts such as hypothesis testing and estimation
  • Knowledge of Chi-square tests and correlation analysis
  • Experience with data analysis software (e.g., SPSS, R, or Python)
NEXT STEPS
  • Research Chi-square tests for categorical data analysis
  • Learn about correlation analysis for assessing relationships between variables
  • Study hypothesis testing methodologies in statistics
  • Explore data analysis techniques using SPSS or R for survey data
USEFUL FOR

Students in social sciences, researchers analyzing survey data, and anyone interested in understanding gender disparities in STEM fields.

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I am supposed to do an experimental report in my Social Psychology class. I am analyzing the factors affecting the lack of females in engineering and other math-intensive fields. I measured men and women's life interests, life values and attitudes to gender roles in our survey because I think that these factors contribute to the lack of women. Perhaps women are just not that interested in these fields compared to men, perhaps these fields are incompatible with their values in life (for eg. not having to work for extremely long hours) or maybe they weren't as encouraged to go into these fields as their male counterparts. I used a four point scale for my survey. (Not Interested-Very Interested and Strongly Agree-Strongly Disagree)

The problem is, I have not studied Statistics or Research Methods yet. I am a completely lost as to how to go about this. Can someone please tell me what statistical technique would be appropriate for this research? Chi-square? Correlation? Other methods? If anyone can just provide a basic outline as to how I would go about analyzing my data, that would be very helpful.
 
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A basic lesson in the statistical analysis of experiments is that the statistical analysis should be planned before the experiments are completely designed and conducted.

Given it's too late for that, you should decide which of the two main topics in statistics apply. These are 1) Hypothesis Testing and 2) Estimation. What hypotheses do you wish to test? What parameters of the phenomenon do you wish to estimate?
 

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