Reasoning With Statistics: How To Read Quantitative Research

Paperback | October 19, 2000

byFrederick Williams, Peter R. Monge

not yet rated|write a review
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.

Pricing and Purchase Info

$170.93 online
$186.95 list price (save 8%)
In stock online
Ships free on orders over $25
HURRY, ONLY 1 LEFT!

From the Publisher

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 calculation...

Format:PaperbackDimensions:240 pages, 9.6 × 6.5 × 0.38 inPublished:October 19, 2000Publisher:Wadsworth PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0155068156

ISBN - 13:9780155068155

Look for similar items by category:

Customer Reviews of Reasoning With Statistics: How To Read Quantitative Research

Reviews

Extra Content

Table of Contents

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.