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Myers J.L., Well A.D. — Research design and statistical analysis

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Название: Research design and statistical analysis

Авторы: Myers J.L., Well A.D.

Аннотация:

Adopting an intuitive, informal style, this text emphasizes the statistical concepts and assumptions needed to describe and make inferences about real data. The volume's 21 chapters address topics including univariate distributions; the chi-square and F distributions; contrasts among means; trend analysis; repeated- measures designs; hierarchical designs; Latin squares and related designs; correlation and bivariate regression; and multiple regression. Includes major content and organizational revisions from the previous edition. Suitable for graduate and advanced undergraduate students learning about data analysis, as well as for researchers.

Язык:

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: second edition

Год издания: 2003

Количество страниц: 760

Добавлена в каталог: 05.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

Regression, multiple regression, tolerance      570—572
Regression, multiple regression, variance inflation factor (VIF)      571—572 see
Regression, outliers and influential data points      55—56 542—548
Regression, outliers and influential data points, Cook's distance      546—547 585
Regression, outliers and influential data points, deleted predictions      544
Regression, outliers and influential data points, deleted residuals      544
Regression, outliers and influential data points, DFBETAS      546—547
Regression, outliers and influential data points, DFFITS      546
Regression, outliers and influential data points, externally studentized residuals      544—545
Regression, outliers and influential data points, internally studentized residuals      544
Regression, outliers and influential data points, leverage of       528 584—585 726
Regression, outliers and influential data points, Mahalanobis distance      545—548
Regression, outliers and influential data points, studentized residuals      544
Regression, repeated-measures regression      549—551 607—608
Regression, selecting the best regression equation for prediction      591—593
Regression, selecting the best regression equation for prediction, backward elimination      592
Regression, selecting the best regression equation for prediction, forward selection      591—592
Regression, selecting the best regression equation for prediction, stepwise regression      592—593
Regression, trend analysis using multiple regression      599—601
Relative efficiency of estimators      110 see
Reliability coefficient      485—486 532
Rencher, A.C.      592 738
Repeated-measures designs      6 165 191 342—378 see Analysis and
Repeated-measures designs in regression      549—551 see
Replicated Latin square design      469—474 see Latin
Resistant measures      15 42 55—56
Restricted model      416
Restriction of range      see Correlation
Rhodes, G.      363—364 737
Robinson, D.H.      374 735
Robinson, W.S.      489 738
Robson, R.R.      163 737
Robust regression      548 see also Regression
Robustness of test      217
Rodgers, J.L.      46 493—494 735 738
Roediger, H.L.      111 339 739
Rogan, J.C.      252 357 733 739
Rom, D.M.      247 739
Rosal, M.C.      726 736
Rosenberger, J.L.      25 29 32 739
Rosenthal, R.      246 501 505 724 736 739
Rosnow, R.L.      724 739
Rouanet, H.      355 739
Rousseeuw, J.R.      56 542 585 739
Rovine, M.J.      46 739
Royer, J.M.      11 28 223 235 739
Rozeboom, W.W.      598 739
Rubin, D.B.      246 501 736 739
Sample space      72—73
Sample-specific measure      480—485 see
Sampling distributions      25 66 104—108
Sampling with replacement      74
Sampling without replacement      74
Sampling, random      68
Sampson, A.R.      589 733
Satterthwaite, F.E.      369 739
Sawilosky, S.S.      122 739
Scatterplots      38—40 43—44
Scheffe's test      see Contrasts among means
Scheffe, H.      217 244 256 739
Schellenberg, E.G.      409 740
Schmidt, F.L.      486 735
Schrijnemakers, J.M.C.      473 738
Schwarz, N.      340 730
Screening sample      see Cross-validation
Seaman, M.A.      253 255 261 739
Selecting the best regression equation for prediction      591—593 see also Regression
Separate-variance t test      see Welch's test
Serlin, R.C.      220—221 225—226 253 736 739 740
Shaffer, J.P.      255 261 739
Shapiro — Wilk test for normality      185
Shapiro, S.S.      185 739
Sidak, Z.      246 740
Siegel, S.      508 510 740
Sign test      86
Significance testing      see Hypothesis testing
Simple effects      302—305 401—402
Simple random samples      2
skewness      29—30
Slinde, J.A.      403 736
slope      see Linear equation
Smith, H.      532 542 598 726 731
Smith, H.F.      432 740
Smith, J.F.K.      223 740
Smoothers      40—43
Snedecor, G.W.      531—532
Sorbom, D.      593 735
Specific alternative hypothesis      see Power
Specification errors      see Regression
Sphericity      355—357
Spiegel, D,K.      627 738
Split-plot designs      386 see
SPREAD      20
Spread versus level plot      223
Springer, L.      436 740
SPSS algorithms      726
Squared multiple R      200 see
Srivastava, S.R.      442 740
Standard deviation      23—24 see
Standard errors of a contrast      172
Standard errors of a normally distributed variable      104
Standard errors of estimate in regression      55 481 524—525 565—567
Standard errors of regression coefficients      526 528—530
Standard errors of regression coefficients, derivation      559—560
Standard errors of the difference between the means of two independent groups      153—155
Standard errors of the mean (SEM)      24—25 108 141
Standardized effect size      see Effect size
standardized scores      see z scores
Stanne, M.E.      436 740
Stapel, D.A.      455 740
Stasson, M.F.      436 443 725 740
Stationarity      75
Statistical model      63
Statistical tables      653—684

Steiger, J.H.      146 500—501 585—586 733 740
Stem- and-leaf plots      13 15—16
Stepwise regression      592-593 see also Regression
Stevens, J.      578 740
Stolberg, S.G.      9 740
Stoto, M.A.      223 732
Strack, F.      340 730
Stratification      see Blocking
Strube, M.J.      496 740
Structural model      192 see
Studentized range statistic      248
Studentized residual      544 see
Sum of squares associated with a contrast      258
Sum of squares of Y,       55
Summation operators      see Appendix A 641—648
SYSTAT 10 power module      493 497 725
t distribution      142—143
t tests      see Hypothesis tests
Tanur, J.M.      732
Thiemann, S.      121
Thompson, W.F.      404 740
Timm, N.H.      323 730
Tolerance      570—572
Tomarken, A.J.      221 225—226 740
Toothaker, L.E.      255 740
Transformations      223—224
Transformations to obtain additivity in a repeated-measures design      351—352
Transformations, Fisher Z transform      492 725—726
Treatment x blocks design      335
Treatment x blocks design, blocks, fixed- or random-effects?      724—725
Treatment x blocks design,compared with Analysis of covariance      428—430
Tree diagram      72—73
Trend analysis      267—281 305—309
Trend analysis in multifactor designs      305—309
Trend analysis, $SS_{lin}$ as a single-degree-of-freedom contrast      272—275
Trend analysis, equation for a straight line      268—269
Trend analysis, orthogonal polynomials      273 275—280
Trend analysis, polynomial function      275
Trend analysis, strategies in testing trend      280
Trend analysis, testing nonlinear trends      274—280
Trend analysis, testing the null hypothesis $\beta_1=0$ , using multiple regression      599—601
Trimmed mean      24 111 222
Tronsky, L.M.      11 739
Tukey — Kramer test      see Contrasts among means
Tukey's HSD test      see Contrasts among means
Tukey, J.W.      33 179 248—251 300 350—352 467 484—485 724 729 732 734 737 739 740
Two-tailed tests      see Hypothesis testing
Type 1 and Type 2 errors      see Hypothesis testing
Type I, Type II, and Type III sums of squares      321—324 340—341 623—629
UCLA calculator      148—149 318—319
Unequal cell frequencies      204 319—324 623—629
Uniformly most powerful tests      187
Unweighted means analysis      322 340—341
Vander Laan, K.L.      479 741
Vargha, A.      220 723 741
Variable, categorical      604 608 614—637
Variable, continuous      7 100—102
Variable, criterion      52
Variable, dependent      3
Variable, discrete      7 62—63
Variable, dummy      617—621
Variable, fixed effects      192
Variable, fixed effects as opposed to random      202
Variable, independent      3
Variable, indicator      617—621
Variable, moderator      601
Variable, nuisance      4
Variable, predictor      52
Variable, random      62—63 100—102
Variable, random as opposed to fixed      202
Variable, random effects      192
Variance inflation factor (VIF)      571—572 see also Regression
Variance of a linear combination      138—139
Variance of a population      80
Variance of a sample      23—24
Variance of estimate in regression      55 .see
Variance, properties of      24
Velleman, P.      544 741
Von Eye, A.      46 739
Voss, J.F.      284—286 314 741
Wallis,W.A.      219—220 735
Wasserman, W.      56 737
Webster, J.T.      369 731
Weighted least squares      539—540; see also Regression
Weisberg, S.      42 547 585 731
Welch's separate variance t test      160
Welch's separate variance t test for contrasts      240—241
Welch's test for ANOVA      225—226 723
Welch, B.L.      160 225—226 240 723 741
Well, A.D.      46 203 235 318 359 396 464 477 626 725 732 737 738
Welsch, R.E.      255 544—546 585 597 729 734 741
Wherry, R.J.      200—201 578 741
White, J.B.      376 737
Wicklegren, W.A.      282 731
Wike, E.L.      223 730
Wilcox, R.R.      25 152 158 222 226 741
Wilcoxon rank-sum test      220
Wilcoxon signed-rank lest      152 374—375
Wiley, J.      284—286 314 741
Wilk, M.B.      185 464 739 741
Wilkinson, L.      7—8 33 56—57 212 592—593 741
Within-groups mean square      198
Within-subjects designs      165 191; Analysis
Within-treatment variability      1
Witvliet, C.V.      479 741
Y-intercept      see Linear equation
Yates, F.      627—628 741
Yong, E.      363—364 737
Young, J.      6 737
z scores      27—28 36
Zar, J.H.      508
Zimmerman, D.W.      122 741
Zimmerman, S.K.      436 443 740
Zumbo, B.D.      122
Zwick, R.      255 741

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