Reasoning With Statistics
19%
off

Reasoning With Statistics : How To Read Quantitative Research

3.73 (15 ratings by Goodreads)
By (author)  , By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 2 business days
When will my order arrive?

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.
show more

Product details

  • Paperback | 240 pages
  • 164 x 235 x 12mm | 368g
  • Wadsworth Publishing Co Inc
  • Belmont, CA, United States
  • English
  • 5th edition
  • 0155068156
  • 9780155068155
  • 1,293,448

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.
show more

Review quote

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.
show more

Rating details

15 ratings
3.73 out of 5 stars
5 13% (2)
4 47% (7)
3 40% (6)
2 0% (0)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X