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This text is designed to help students become knowledgeable readers of cross-curriculum quantitative research literature. It provides a clear inviting view of quantitative research strategies for those students who may or may not have a mathematical background. The authors impart a conceptual understanding rather than teach calculational methods. The text can be used as a supplement for a basic statistics course or for any course requiring students to read and digest quantitative research literature. Examples are cross-curriculum and generic. Its strength is that it is very brief and doesn't overwhelm with too much detail.
1. Why Do Quantitative Research?
2. Statistics and Research.
Part II: Descriptive Statistics.
3. Levels of Measurement.
4. Describing Distributions.
Part III: Population Statistics.
5. Predicting Parameters.
6. Testing Hypotheses.
Part IV: Analyses of Differences.
7. The Test.
8. Single-Factor Analysis of Variance.
9. Multiple-Factor Analysis of Variance.
10. Nonparametric Tests.
Part V: Analysis of Relationships.
13. Multiple Regression.
Part VI: Analyses of Complex Differences and Relationships.
14. Factor Analysis.
15. Discriminant Analysis.
16. Time-Series Analysis.