MARC Record from Library of Congress

LEADER: 04055cam a2200337 a 4500
001 2007013984
003 DLC
005 20080303094959.0
008 070402s2008 nyua b 001 0 eng
010 $a 2007013984
020 $a9780805862676 (alk. paper)
020 $a0805862676 (alk. paper)
035 $a(OCoLC)ocn123232225
035 $a(OCoLC)123232225
040 $aDLC$cDLC$dYDX$dBTCTA$dBAKER$dYDXCP$dDLC
050 00 $aHA32$b.L444 2008
082 00 $a005.5/5$222
100 1 $aLeech, Nancy L.
245 10 $aSPSS for intermediate statistics :$buse and interpretation /$cNancy L. Leech, Karen C. Barrett, George A. Morgan.
250 $a3rd ed.
260 $aNew York :$bL. Erlbaum Associates,$cc2008.
300 $axii, 270 p. :$bill. ;$c28 cm. +$e1 CD-ROM (4 3/4 in.)
504 $aIncludes bibliographical references and index.
505 0 $aIntroduction and review of basic statistics with SPSS variables -- Research hypotheses and research questions -- A sample research problem : the modified high school and beyond study -- Research questions for the modified HSB study -- Frequency distributions -- Levels of measurement -- Descriptive statistics -- Conclusions about measurement and the use of statistics -- The normal curve -- Data coding and exploratory analysis (EDA) -- Rules for data coding -- Exploratory data analysis (EDA) -- Statistical assumptions -- Checking for errors and assumptions with ordinal and scale variables -- Using tables and figures for EDA -- Transforming variables -- Several measures of reliability -- Problem 4.1: Cronbachs alpha for the motivation scale -- Problems 4.2 & 4.3: Cronbachs alpha for the competence and pleasure scales -- Problem 4.4: test-retest reliability using correlation -- Problem 4.5: Cohens kappa with nominal data -- Exploratory factor analysis and principal components analysis -- Problem 5.1: factor analysis on math attitude variables -- Problem 5.2: principal components analysis on achievement variables -- Selecting and interpreting inferential statistics -- Selection of inferential statistics -- The general linear model -- Interpreting the results of a statistical test -- An example of how to select and interpret inferential statistics -- Review of writing about your outputs -- Multiple regression -- Problem 6.1: using the simultaneous method to compute multiple regression -- Problem 6.2: simultaneous regression correcting multicollinearity -- Problem 6.3: hierarchical multiple linear regression -- Logistic regression and discriminant analysis -- Problem 7.1: logistic regression -- Problem 7.2: hierarchical logistic regression -- Problem 7.3: discriminant analysis (da) -- Factorial anova and ancova -- Problem 8.1: factorial (2-way) anova -- Problem 8.2: post hoc analysis of a significant interaction -- Problem 8.3: analysis of covariance (ancova) -- Repeated measures and mixed anovas -- The product data set -- Problem 9.1: repeated measures anova -- Problem 9.2: the friedman nonparametric test for several related samples -- Problem 9.3: mixed anova -- Multivariate analysis of variance -- Problem 10.1: GLM single-factor multivariate analysis of variance -- Problem 10.2: GLM two-factor multivariate analysis of variance -- Problem 10.3: mixed manova -- Problem 10.4: canonical correlation -- Multilevel linear modeling/hierarchical linear modeling -- Problem 11.1: unconditional level 1 repeated measures model -- Problem 11.2: repeated measures with level 2 predictor -- Problem 11.3: unconditional individuals-nested-in-schools model -- Problem 11.4: conditional individuals-nested-in-schools model with level 1 covariate.
650 0 $aSPSS for Windows.
650 0 $aSPSS (Computer file)
650 0 $aSocial sciences$xStatistical methods$xComputer programs.
700 1 $aBarrett, Karen Caplovitz.
700 1 $aMorgan, George A.$q(George Arthur),$d1936-
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/toc/ecip0715/2007013984.html
856 42 $3Publisher description$uhttp://www.loc.gov/catdir/enhancements/fy0804/2007013984-d.html