Correlation Parametric and Nonparametric Measures
| Author/creator | Chen, Peter Editor |
| Other author | Popovich, Paula Author |
| Format | Electronic |
| Publication Info | Thousand Oaks : SAGE Publications, Incorporated |
| Description | 104 p. ill 08.500 x 05.500 in. |
| Supplemental Content | Full text available from SAGE Research Methods Core |
| Subjects |
| Series | Quantitative Applications in the Social Sciences Ser. |
| Summary | Annotation How can correlation be more effectively used so that one does not misinterpret the data? This book reveals how to do this by examining Pearson <i>r</i> from its conceptual meaning, to assumptions, special cases of the Pearson <i>r</i>, the biserial coefficient and tetrachoric coefficient estimates of the Pearson <i>r</i>, its uses in research (including effect size, power analysis, meta-analysis, utility analysis, reliability estimates and validation), factors that affect the Pearson <i>r</i>, and finally to additional nonparametric correlation indexes.<p>After reading this book, the reader will be able to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation and to interpret correlations correctly.</p> |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2002005573 |
| ISBN | 9780761922285 |
| ISBN | 0761922288 (Trade Paper) Active Record |
| Standard identifier# | 9780761922285 |
| Stock number | 407139 00023123 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |