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OCoLC |
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20220616151504.0 |
| 008 |
160723s2016 nyua 000 0 eng |
| 019 |
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|a 945232529
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|a 1138189529
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|a 9781138189522
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|a (OCoLC)959625562
|z (OCoLC)945232529
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|a AU@
|b eng
|e rda
|c AU@
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|d BNG
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|a EEMR
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|a BF39
|b .B73 2016
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| 082 |
0 |
4 |
|a 150.72
|2 23
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| 100 |
1 |
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|a Brace, Nicola,
|e author.
|0 http://id.loc.gov/authorities/names/n00083970
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| 245 |
1 |
0 |
|a SPSS for psychologists :
|b (and everybody else). /
|c Nicola Brace, Richard Kemp, Rosemary Snelgar.
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| 250 |
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|a 6th edition.
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| 264 |
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1 |
|a New York, N.Y. :
|b Routledge,
|c 2016.
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| 300 |
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|a xiii, 419 pages :
|b illustrations ;
|c 25 cm
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a unmediated
|b n
|2 rdamedia
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| 338 |
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|a volume
|b nc
|2 rdacarrier
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| 505 |
0 |
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|a Ch. 1 Introduction -- Section 1 Psychological research and SPSS -- Section 2 Guide to the statistical tests covered -- Section 3 Working with SPSS -- Section 4 Starting SPSS -- Section 5 How to exit from SPSS -- ch. 2 Data entry in SPSS -- Section 1 The Data Editor window -- Section 2 Defining a variable in SPSS -- Section 3 Entering data -- Section 4 Saving a data file -- Section 5 Opening a data file -- Section 6 Data entry exercises -- Section 7 Answers to data entry exercises -- Section 8 Checking and cleaning data files -- ch. 3 Exploring and cleaning data in SPSS -- Section 1 Descriptive statistics -- Section 2 The Descriptives command -- Section 3 The Viewer window -- Section 4 The Frequencies command -- Section 5 The Explore command -- Section 6 Using descriptive statistics to check your data -- Section 7 Introducing graphing in SPSS -- Section 8 Chart Builder -- Section 9 Graphboard Template Chooser -- ch. 4 Data handling --
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|a Section 1 An introduction to data handling -- Section 2 Sorting a file -- Section 3 Splitting a file -- Section 4 Selecting cases -- Section 5 Recoding values -- Section 6 Computing new variables -- Section 7 Counting values -- Section 8 Ranking cases -- Section 9 Data transformation -- Section 10 Data file for scales or questionnaires -- ch. 5 Tests of difference for one- and two-sample designs -- Section 1 An introduction to t-tests -- Section 2 The one-sample t-test -- Section 3 The independent t-test -- Section 4 The paired t-test -- Section 5 An introduction to nonparametric tests of difference -- Section 6 The Mann -- Whitney test -- Section 7 The Wilcoxon test -- ch. 6 Tests of correlation and bivariate regression -- Section 1 An introduction to tests of correlation -- Section 2 Producing a scattergram -- Section 3 Pearson's r: parametric test of correlation -- Section 4 Spearman's rs: nonparametric test of correlation --
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|a Section 5 Comparing the strength of correlation coefficients -- Section 6 Brief introduction to regression -- Section 7 Bivariate regression -- ch. 7 Tests for nominal data -- Section 1 Nominal data and dichotomous variables -- Section 2 Chi-square test versus the chi-square distribution -- Section 3 The goodness of fit chi-square -- Section 4 The multidimensional chi-square -- Section 5 The McNemar test for repeated measures -- ch. 8 Analysis of variance -- Section 1 An introduction to analysis of variance (ANOVA) -- Section 2 One-way between-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent -- Section 3 Two-way between-subjects ANOVA -- Section 4 One-way within-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent -- Section 5 Two-way within-subjects ANOVA -- Section 6 Mixed ANOVA -- ch. 9 Multiple regression -- Section 1 An introduction to multiple regression --
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|a Section 2 Standard or simultaneous method of multiple regression -- Section 3 Sequential or hierarchical method of multiple regression -- Section 4 Statistical methods of multiple regression -- ch. 10 Analysis of covariance and multivariate analysis of variance -- Section 1 An introduction to analysis of covariance -- Section 2 Performing analysis of covariance on SPSS -- Section 3 An introduction to multivariate analysis of variance -- Section 4 Performing multivariate analysis of variance on SPSS -- ch. 11 Discriminant analysis and logistic regression -- Section 1 Discriminant analysis and logistic regression -- Section 2 An introduction to discriminant analysis -- Section 3 Performing discriminant analysis using SPSS -- Section 4 An introduction to logistic regression -- Section 5 Performing logistic regression on SPSS -- ch. 12 Factor analysis, and reliability and dimensionality of scales -- Section 1 An introduction to factor analysis --
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| 505 |
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|a Section 2 Performing a basic factor analysis using SPSS -- Section 3 Other aspects of factor analysis -- Section 4 Reliability analysis for scales and questionnaires -- Section 5 Dimensionality of scales and questionnaires -- ch. 13 Using syntax and other useful features of SPSS -- Section 1 The Syntax window -- Section 2 Syntax examples -- Section 3 Getting help in SPSS -- Section 4 Option settings in SPSS -- Section 5 Printing from SPSS -- Section 6 Incorporating SPSS output into other documents -- Section 7 SPSS and Excel: importing and exporting data files.
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| 504 |
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|a Includes bibliographical references (pages 413-414) and index.
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| 650 |
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0 |
|a Psychology
|x Statistical methods.
|0 http://id.loc.gov/authorities/subjects/sh2008110166
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| 650 |
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0 |
|a Psychometrics
|x Data processing.
|0 http://id.loc.gov/authorities/subjects/sh85108491
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| 650 |
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7 |
|a Psychology
|x Statistical methods.
|2 fast
|0 (OCoLC)fst01081529
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| 650 |
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7 |
|a Psychometrics.
|2 fast
|0 (OCoLC)fst01081639
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| 700 |
1 |
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|a Kemp, Richard,
|d 1960-
|e author.
|0 http://id.loc.gov/authorities/names/nb99192213
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| 700 |
1 |
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|a Snelgar, Rosemary,
|e author.
|0 http://id.loc.gov/authorities/names/n00083973
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|i 2
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|s ad39ded9-880a-5fd9-86ea-f5ff44070d1d
|t 0
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| 952 |
f |
f |
|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library
|t 0
|e BF39 .B73 2016
|h Library of Congress classification
|i Printed Material
|m 31293035199565
|n 1
|
