Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Correlation: Parametric and Nonparametric Measures

Correlation: Parametric and Nonparametric Measures

Chen, Peter Y.
Popovich, Paula M.

Paperback

Series: Quantitative Applications in the Social Sciences, Book 139

Technology & EngineeringGeneral SociologyProbability & Statistics

ISBN10: 0761922288
ISBN13: 9780761922285
Publisher: Sage Publications, Inc
Published: Jun 12 2002
Pages: 104
Weight: 0.28
Height: 0.22 Width: 5.54 Depth: 8.42
Language: English
Correlations, in general, and the Pearson product-moment correlation in particular, can be used for many research purposes, ranging from describing a relationship between two variables as a descriptive statistic to examining a relationship between two variables in a population as an inferential statistic, or to gauge the strength of an effect, or to conduct a meta-analytic study. How can correlation be more effectively used so that one doesn't misinterpret the data? This book reveals how to do this by examining Pearson r from its conceptual meaning, to assumptions, special cases of the Pearson r, the biserial coefficient and tetrachoric coefficient estimates of the Pearson r, its uses in research (including effect size, power analysis, meta-analysis, utility analysis, reliability estimates and validation), factors that affect the Pearson r, and finally to additional nonparametric correlation indexes. 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.

Also in

Technology & Engineering

View All