SSCI 2900U Lecture Notes - Lecture 9: Linear Regression, Statistical Significance, Statistical Hypothesis Testing
1 Sep 2016
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Lecture 9, quantitative data analysis, scci 2900u research methods, june 14th. Best way to learn something new is to start with the basics. Let"s start with the basics of quantitative analysis. Discuss conceptual foundations and ways to organize quantitative data. No formulas, no actual analysis; you"ll learn that in data analysis. The biggest mistake in quantitative research is to think that data analysis decisions can wait until after the data have been collected. Must be fully aware of what analysis techniques will be used before data collection begins. Questionnaire, observation schedule, and coding frame should be designed with the data analysis in mind. The statistical techniques that can be used depend on how a variable is measured. Inappropriate measurement may make it impossible to conduct certain types of data analysis. The size and nature of the sample also imposes limitations on the kinds of techniques that are suitable for the data set.
