Full Description
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.
Contents
Part I1. 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.
