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Exploring Group Differences: Methods and Analysis

Learn about analyzing differences between groups, from chi-square tests to correlations, in this comprehensive chapter. Understand how to compare independent variables with various techniques, such as t-tests and ANOVA, to interpret data accurately.

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Exploring Group Differences: Methods and Analysis

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  1. Analyzing differences between groups

  2. CHAPTER 13 Analyzing Differences between groups

  3. Difference Analysis • Examines difference between Independent variables (IVs) using discrete categories. • This means that you come the responses for subjects in each IV for how they responded to each variable/question. • An example comparing M & F for each of the needs on the extra credit survey

  4. Nominal level data • Chi-square test—examines differences between categories of an independent variable with respect to dependent variables • Example –comparing the 2 magazine in your content analysis

  5. Interval level data • T-Test – examines differences between 2 (IV) groups measured on an interval/ratio dependent variable • Example –large or small screen size and subjects’ responses to credibility questions

  6. T-Tests • Independent t-test—examines 2 different groups Large versus small TV screen size • Related-measures t Test-examines differences between 2 sets of related measures • Mainly used to compare pre- & post- test of the same group of subjects

  7. ANOVA • Analysis of Variance (ANOVA) • Similar to t-test except there are 3 or more Ivs • Example: Year in college (Freshman, Sophomore, Junior, Senior and Overall satisfaction with CSU)

  8. Correlations • Tests relationships between variables • Types of correlations

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