000 | 02347cam a2200193 a 4500 | ||
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020 | _a9780205755615 | ||
020 | _a0205755615 | ||
082 | 0 | 0 | _a005.5/5 |
100 | 1 |
_aGeorge, Darren. _9233 |
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245 | 1 | 0 |
_aSPSS for Windows step by step :a simple guide and reference, 17.0 update / _cDarren George, Paul Mallery. |
250 | _a10th ed. | ||
260 |
_aIndia : _bPearson Education, _c2011. |
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300 |
_ax, 386 p. : _bill. ; |
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504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aAn overview of SPSS for Windows step by step -- SPSS Windows processes: mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options option -- Creating and editing a data file -- Managing data: listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files -- Graphs: creating and editing graphs and charts -- PASW statistics base module. Frequencies: frequencies, bar charts, histograms, percentiles ; Descriptive statistics: measures of central tendency, variability, deviation from normality, size, and stability ; Crosstabulation and chi-square (x²) analyses ; The Means procedure ; Bivariate correlation: bivariate correlations, partial correlations, and the correlation matrix ; The T test procedure: independent-samples, paired-samples, and one-sample tests ; The one-way ANOVA procedure: one-way analysis of variance ; General linear models: two-way analysis of variance ; General linear models: three-way analysis of variance and the influence of covariates ; Simple linear regression ; Multiple regression analysis ; Nonparametric procedures ; Reliability analysis: coefficient alpha and split-half reliability ; Multidimensional scaling ; Factor analysis ; Cluster analysis ; Discriminant analysis -- PASW regression and advanced statistics modules. General linear models: MANOVA and MANCOVA multivariate analysis of variance and covariance ; General linear models: repeated-measures MANOVA: multivariate analysis of variance with repeated measures and within-subjects factors ; Logistic regression ; Hierarchical loglinear models ; General loglinear models ; Residuals: analyzing left-over variance -- Data files -- Glossary. | |
650 | 0 |
_aSocial sciences _9234 |
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700 | 1 |
_aMallery, Paul, _9235 |
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942 | _cBK | ||
999 |
_c4921 _d4921 |