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Index In this sample portion of the Index (as well as in the book's full Index), the numbers that immediately follow each term are page numbers while the those in parentheses refer to numbered journal article excerpts. (The number 2.7, for example, denotes the 7th excerpt in Chapter 2.) Each of the book's 674 excerpts was carefully selected by the author to illustrate either good or not-so-good practice, to instruct via the words of others, or to show pictures of hard-to-understand concepts (e.g., a normalized distribution, and a three-way interaction). Collectively, they function to make this book "come alive" for the reader and to document that applied researchers use the terms, concepts, and techniques discussed in READING STATISTICS AND RESEARCH. B b. See Regression, slope Background, 3 (1.2) Bar graph, 26-27 (2.7) Bartlett chi-square test, 311n. Behrens-Fisher t-test (3.11, 11.27) Beta error, 214 (8.10) Beta weights, 582 (19.15-19.16, 19.24) Between groups 304 (12.8) Between-subjects as a kind of factor, 328, 390-392, 434 (12.3, 14.11-14.12, 15.2) as a heading in ANOVA summary table, 507, 523 (17.25-17.26) Between-within ANOVA, 502 (17.4) Bias, 279, 419, 513, 527, 554-555, 587 (21.11) Bimodal, 31, 37-38 (2.14) Binomial test illustrations of, 610-611 (20.2-20.3) null hypothesis of, 610 similarity to sign test, 610 Biserial correlation, 74 Bivariate correlation the correlation coefficient, 59-61 (3.2-3.3) different kinds, 66-76 scatter diagrams, 57-59 (3.1) presented in a correlation matrix, 62-66 (3.7-3.11) warnings about, 76-83 Bivariate regression equations standardized, 573-574 unstandardized, 573-574 (19.6-19.11) inferential tests in, 576-578 (19.9-19.11) intercept (i.e., constant) of, 574 line of best fit, 571 purpose and data, 569-570 regression coefficient, 572, 574-575 (19.7) slope, 574 (19.10) Bonferroni adjustment technique as a post hoc technique, 369-371 (13.25) how it works, 223-225 (8.21-8.22) logic behind, 221-223, 304 with analysis of covariance, 557-558 (18.26) with chi square, 633, 642-643 (20.25, 20.36 with Mann-Whitney U-tests, 664 (20.22) with mixed ANOVAs, 515-516 (17.19) with one-way ANOVAs, 340-341 (12.19) with tests of correlation coefficients, 267-268 (8.22-8.23,10.20 with tests of means, 304 (11.17-11.18) with three-way ANOVAs, 456 (15.17) with two-way ANOVAs, 422-423 (14.37) with Wilcoxon post hoc probe, 668 Borderline significance, 241 (9.13) Box-and-whisker plot, 42-43 (2.25, 2.40-2.41) C Calculated value, 180 (7.24-7.26) Canonical correlation, 66n. Cause and effect, 278-279, 604 (10.34, 19.44) Cell meaning of, 384, 436 means, 395-396, 399, 409-411, 440 (14.1, 14.14, 14.27-14.29, 15.6, 15.14, 16.21, 17.7, 17.10, 17.23-17.24) getting subjects into, 388-390 (14.9-14.10) Central tendency, measures of "average" used to denote "mean," (2.38-2.39, 3.32) relative position in different distributions, 36-38 (2.20) three popular kinds, 35-36 Chi square as adjunct to median test, 656-658 (21.15-21.16) as large-sample version of other tests, 669-670 (21.24, 21.26) contingency table, 616, 620, 626, 656-658 (20.17-20.18, 20.22, 20.24) as a correlational probe, 625-629, 658 (9.32, 20.19-20.24, 21.16) degrees of freedom, 630-631 expected frequencies, 634-635 (20.27) goodness-of-fit test, 311n., 618 (12.20) notation and language, 614-616 (20.7-20.12) Pearson's approximation to, 616 (20.12, 20.21) post hoc tests, 631-634 (20.25) practical versus statistical significance, 643-645 (20.37-20.39) specific types independent-samples chi-square test comparing multiple groups on a dichotomous response variable, 621-622 (7.25, 20.15) comparing multiple groups on a multicategory response variable, 624-625 (20.18) comparing two groups on a dichotomous response variable, 619-621, 7.27 (9.1, 9.33, 20.14-20.15) comparing two groups on a multicategory response variable, 622-624 (20.17) one-sample chi-square test, 616-618 test of independence, 625-629, 658 (9.32, 20.19-20.24, 21.16) theoretical distribution, 614 use with other-than-nominal data, 614 use with related samples. See McNemar's chi-square test with Bonferroni correction, 633, 642-643 (20.25, 20.36) Yates' correction for continuity, 636-637 (20.38-20.39) Circle graph, 28n. Clinical significance, 204n. Cluster sample, 121-122 (5.8) Cochran's C test, 311n. Cochran's Q test, 638-640 (20.32) Coefficient alpha, 91-92 (4.1, 4.9-4.11, 4.16, 6.13) Coefficient of concordance, 93-94 (4.12) Coefficient of determination, 78-79, 576 (3.33, 8.2) Coefficient of equivalence, 89 Coefficient of stability, 87 Coefficient of variation, 47 (2.33) Cohen's kappa, 94 (4.13) Comparison, 358. See also Planned comparisons; Post hoc comparisons Complex comparison, 358. See also Nonpairwise comparison Computer-generated random numbers, 134 (5.31) Concomitant variable, 535n. Conclusion, 13 Concurrent validity. See Validity, different kinds Confidence band, 97 Confidence interval built around a reliability coefficient, 157 (6.15) construction of, 152-153 (6.10) to estimate a population parameter, 149-154, 287-288, 644-645 (11.1-11.2, 20.40) examples of, (6.7-6.9) the form they take, 150-152 proper interpretation of, 153-154 to evaluate an odds ratio, 598-600 (19.33-19.35) to test a null hypothesis, 218-220, 273, 300-301, 598-599, 644-645, (10.27, 11.13, 19.34-19.35, 20.40-20.41) versus a standard error, 154-155, 220 (8.18) Confounded, 475, 513 Conservative F-test, 478-479, 489, 514 (16.13, 16.15, 16.26, 17.14-17.15) multiple comparison test, 360 Construct validity, 104-107 (4.1, 4.18, 4.25-4.28) Contingency coefficient, 628-629 (20.23) Contingency table, 616, 620, 626, 656-658 (20.17-20.18, 20.22, 20.24) Continuous variable, 660-661, 663 (3.27, 7.16) Contrast, 358. See also Planned comparisons; Post hoc comparisons Control in ANCOVA, 537 (18.8-18.9) in regression, 579, 584, 590-592 (19.25-19.26) Convenience sample, 124-125 (5.12-5.13) Convergent validity, 104-105 (4.24-4.25) Correction for attenuation, 280 (10.35) Correction for continuity, 636-637 (20.28-20.29) Correlated samples, 291-294, 637 (11.5, 11.7-11.8, 11.14) Correlated t-test, 294-296, 665 (7.20, 7.24, 11.10, 11.14, 11.17-11.18, 11.21) Correlation and cause, 77-78, 604 (3.31-3.32) descriptive labels, 55-57, 60-61 (3.4-3.6) different measures of, 70-76 (3.20-3.30) as a relationship, 55-57 Correlation coefficient in descriptive statistics, 59-61 (3.2-3.3) in inferential statistics comparing two, 270-273 (10.26, 10.37) confidence intervals around, 218-219, 273-274 (8.16, 10.27) test on, 255-270, 576-577 (4.2, 7.7, 7.10, 7.23, 8.19, 9.10-9.11, 9.18, 9.29-9.30, 10.9-10.19, 19.9) zero order, 66n. Correlation matrix, 62-66, 263-264 (3.7-3.11, 9.19, 10.15) Covariate as a variable in ANCOVA, 535, 541-543 (18.2, 18.4-18.6, 18.10, 18.16, 18.29) as a row in a summary table, 545-546 (18.14) limitations of (in ANCOVA with intact groups), 555-556 in regression, 579, 590 Cramer's V, 76, 629 (3.29-3.30, 20.24) Criterion variable, 567n. (1.8) Critical value, 182-185 (7.28-7.31, 10.7) Cronbach's alpha, 91-92 (4.1, 4.9-4.11, 4.16, 6.13, 19.6) Counterbalanced, 88n., 475-476, 488 (16.11, 16.19) Curvilinear, 80-81, 601-602 (3.35, 18.21, 19.38)
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2003 Schuyler W. Huck |
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