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Synopsis
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.
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Review
Part I: On Conducting Quantitative Research. 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. 11. Correlation. 12. Regression. 13. Multiple Regression. Part VI: Analyses of Complex Differences and Relationships. 14. Factor Analysis. 15. Discriminant Analysis. 16. Time-Series Analysis.
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