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catalog abstract ""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."--Pub. desc.".
catalog contributor b12606238.
catalog contributor b12606239.
catalog created "c2002.".
catalog date "2002".
catalog date "c2002.".
catalog dateCopyrighted "c2002.".
catalog description ""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."--Pub. desc.".
catalog description "Characteristics of a Relationship -- Correlation and Causation -- Correlation and Correlational Methods -- Choice of Correlation Indexes -- The Pearson Product-Moment Correlation -- Interpretation of Pearson's r -- Assumptions of Pearson's r in Inferential Statistics -- Sampling Distributions of Pearson's r -- Properties of the Sampling Distribution of Pearson's r -- Null Hypothesis Tests of [rho] = 0 -- Null Hypothesis Tests of [rho] = [rho subscript phi] -- Confidence Intervals of [rho] -- Null Hypothesis Test of [rho subscript 1] = [rho subscript 2] -- Null Hypothesis Test for the Difference Among More Than Two Independent [rho]s -- Null Hypothesis Test for the Difference Between Two Dependent Correlations -- Special Cases of Pearson's r -- Point-Biserial Correlation, r[subscript pb] -- Phi Coefficient, [phi] -- Spearman Rank-Order Correlation, r[subscript rank] -- True Versus Artificially Converted Scores -- Biserial Coefficient, r[subscript bis] -- Tetrachoric Coefficient, r[subscript tet] -- Eta Coefficient, [eta] -- Other Special Cases of Pearson's r -- Applications of Pearson's r -- Effect Size -- Power Analysis -- Meta-Analysis -- Utility Analysis -- Reliability Estimates -- Validation -- Factors Affecting the Size and Interpretation of Pearson's r -- Shapes of Distributions -- Sample Size -- Outliers -- Restriction of Range -- Nonlinearity -- Aggregate Samples -- Ecological Inference -- Measurement Error -- Third Variables -- Other Useful Nonparametric Correlations -- C and Cramer's V Coefficients.".
catalog description "Includes bibliographical references (p. 93-94).".
catalog extent "vi, 95 p. :".
catalog identifier "0761922288 (p)".
catalog isPartOf "Quantitative applications in the social sciences ; no. 07-139.".
catalog isPartOf "Quantitative applications in the social sciences ; no. 139".
catalog issued "2002".
catalog issued "c2002.".
catalog language "eng".
catalog publisher "Thousands Oaks, Calif. : Sage Publications,".
catalog subject "519.5/37 21".
catalog subject "Correlation (Statistics)".
catalog subject "QA276 .C4665 2002".
catalog subject "Statistics as Topic.".
catalog subject "Statistics, Nonparametric.".
catalog tableOfContents "Characteristics of a Relationship -- Correlation and Causation -- Correlation and Correlational Methods -- Choice of Correlation Indexes -- The Pearson Product-Moment Correlation -- Interpretation of Pearson's r -- Assumptions of Pearson's r in Inferential Statistics -- Sampling Distributions of Pearson's r -- Properties of the Sampling Distribution of Pearson's r -- Null Hypothesis Tests of [rho] = 0 -- Null Hypothesis Tests of [rho] = [rho subscript phi] -- Confidence Intervals of [rho] -- Null Hypothesis Test of [rho subscript 1] = [rho subscript 2] -- Null Hypothesis Test for the Difference Among More Than Two Independent [rho]s -- Null Hypothesis Test for the Difference Between Two Dependent Correlations -- Special Cases of Pearson's r -- Point-Biserial Correlation, r[subscript pb] -- Phi Coefficient, [phi] -- Spearman Rank-Order Correlation, r[subscript rank] -- True Versus Artificially Converted Scores -- Biserial Coefficient, r[subscript bis] -- Tetrachoric Coefficient, r[subscript tet] -- Eta Coefficient, [eta] -- Other Special Cases of Pearson's r -- Applications of Pearson's r -- Effect Size -- Power Analysis -- Meta-Analysis -- Utility Analysis -- Reliability Estimates -- Validation -- Factors Affecting the Size and Interpretation of Pearson's r -- Shapes of Distributions -- Sample Size -- Outliers -- Restriction of Range -- Nonlinearity -- Aggregate Samples -- Ecological Inference -- Measurement Error -- Third Variables -- Other Useful Nonparametric Correlations -- C and Cramer's V Coefficients.".
catalog title "Correlation : parametric and nonparametric measures / Peter Y. Chen, Paula M. Popovich.".
catalog type "text".