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Reasoning With Statistics: How To Read Quantitative Research 5th Edition

Frederick Williams, Peter R. Monge

  • Published
  • Previous Editions 1992, 1986, 1979
  • 240 Pages

Overview

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.

Frederick Williams, University of Texas

Peter R. Monge, University of Southern California

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.