000			04177cam a22004454a 4500
001			2002005573
003			AE-DuAU
005			20241127164425.0
008			050915s2002 caua b 000 0 eng
010			_a 2002005573
020			_a0761922288 : _c14.95
040			_aDLC _cDLC _dDLC
042			_apcc
050	0	0	_aQA276 _b.C4665 2002
069			_a09828334
090			_aQA 276 .C4665 2002
090			_aQA 276 .C4665 2002
100	1		_aChen, Peter Y. _953717
245	1	0	_aCorrelation : _bparametric and nonparametric measures / _cPeter Y. Chen, Paula M. Popovich.
260			_aThousands Oaks, Calif. : _bSage Publications, _cc2002.
300			_avi, 95 p. : _bill. ; _c22 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490	1		_aQuantitative applications in the social sciences ; _vno. 139
504			_aIncludes bibliographical references.
505	0		_aCharacteristics 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 -- Kendall's [tau] Coefficient -- Kendall's [tau subscript b] and Stuart's [tau subscript c] Coefficients -- Goodman and Kruskal's [gamma] Coefficient -- Kendall's Partial Rank-Order Correlation, [tau subscript XY.Z].
520		0	_aHow 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, you will be able to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation, and interpret correlations correctly.
650		0	_aCorrelation (Statistics) _931022
700	1		_aPopovich, Paula M. _974532
830		0	_aSage university papers series. _pQuantitative applications in the social sciences ; _vno. 07-139. _974533
830		0	_aSage university papers series. _pQuantitative applications in the social sciences ; _vno. 139. _974533
852			_9p14.95 _y11-11-2002
907			_a13593 _b08-06-10 _c08-06-10
942			_cBOOK _00
998			_aaudmc _b11-11-02 _cm _da _e- _feng _gcau _h0
935			_aPO10329-GEN3
945			_g0 _i634469 _j0 _laudmc _nCopy Type:01 - Books _o- _p54.94 _q- _r- _s- _t1 _u0 _v0 _w0 _x0 _yi10191677 _z08-06-10
999			_c13593 _d13593