SPSS survival manual : a step by step guide to data analysis using SPSS for Windows / Julie Pallant.

Previous ed.: 2005.

Includes bibliographical references (p. 327-332) and index.

PART 1: GETTING STARTED:- 1. Designing a study--Planning the study; Choosing appropriate scales and measures; Preparing a questionnaire--2. Preparing a codebook--Variable names; Coding responses; Coding open-ended questions--3. Getting to know SPSS---Starting SPSS; Opening an existing data file; Working with data files; SPSS windows; Menus; Dialogue boxes; Closing SPSS; Getting help--PART 2: PREPARING THE DATA FILE:-4. Creating a data file and entering data--Changing the SPSS \'Options\'; Defining the variables; Entering data;Modifying the data file; Data entry using Excel; Merge files;--Useful SPSS features; Using sets--5. Screening and cleaning the data:- Step 1. Checking for errors; Step 2. Finding and correcting the error in the data file; Case summaries--PART 3: PRELIMINARY ANALYSES:- 6. Descriptive statistics--Categorical variables; Continuous variables; Missing data; Assessing normality; Checking for outliers; Additional exercises--7. Using graphs to describe and explore the data--Histograms; Bar graphs; Line graphs; Scatterplots; Boxplots; Editing a chart or graph; Importing charts and graphs into Word documents; Additional exercises--8. Manipulating the data--Calculating total scale scores; Transforming variables; Collapsing a continuous variable into groups; Collapsing the number of categories of a categorical variable; Additional exercises--9.Checking the reliability of a scale--Details of example; Interpreting the output from reliability; Presenting the results from reliability; Additional exercises--10. Choosing the right statistic--Overview of the different statistical techniques; The decision-making process; Key features of the major statistical techniques; Summary table of the characteristics of the main statistical techniques--Further readings--PART 4: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS AMONG VARIABLES 119--Techmniques covered in Part 4; Revision of the basics--11. Correlation--Details of example; Preliminary analyses for correlation; Interpretation of output from correlation; Presenting the results from correlation; Obtaining correlation coefficients between groups of variables; Comparing the correlation coefficients for two groups; Testing the statistical significance of the difference between correlation coefficients; Additional exercises--12. Partial correlation--Details of example; Interpretation of output from partial correlation; Presenting the results from partial correlation; Additional exercise--13 Multiple regression--Major types of multiple regression; Assumptions of multiple regression; Details of example; Standard multiple regression; Interpretation of output from standard multiple regression; Hierarchical multiple regression; Interpretation of output from hierarchical multiple regression; Presenting the results from multiple regression; Additional exercises--14. Logistic regression--Assumptions; Details of example; Data preparation: coding of responses; Interpretation of output from logistic regression; Presenting the results from logistic regression--15. Factor analysis--Steps involved in factor analysis; Details of example; Procedure for factor analysis; Interpretation of output; Presenting the results from factor analysis; Additional exercises--PART 5: STATISTICAL TECHNIQUES TO COMPARE GROUPS:- Techniques covered in Part Five; Assumptions; Type l error, Type 2 error and power; Planned comparisons/Post-hoc analyses; Effect size; Missing data--16. Non-parametric statistics--Summary of techniques covered in this chapter; Chi-square; Kappa measure of agreement; Mann-Whitney U Test; Wilcoxon Signed Rank test; Druskal-Wallis Test; Friedman test; Additional exercises--17. T-tests--Independent-samples t-tests; Paired-samples t-test; Additional exercises--18. One-way analysis of variance--One-way between-groups ANOVA with post-hoc tests; One-way between-groups ANOVA with planned comparisons; One-way repeated measures ANOVA; Additional exercises--19. Two-way between-groups ANOVA--Details of example; Interpretation of output from two-way ANOVA; Presenting the results from two-way ANOVA; Additional analyses if you obtain a significant interaction effect; Additional exercises--20. Mixed between-within subjects analysis of variance--Details of example; Interpretation of output from mixed between-within ANOVA; Presenting the results from mixed between-within ANOVA-- 21. Multivariate analysis of variance-- Details of example; Performing MANOVA; Interpretation of output from MANOVA; Presenting the results from MANOVA; Additional exercise--22. Analysis of covariance--Uses of ANCOVA; Assumptions of ANCOVA; One-way ANCOVA; Two-way ANCOVA.

This manual demystifies statistics and data analysis by guiding the reader through the entire research process. It helps in the process of choosing the right statistical technique and includes a detailed guide to interpreting SPSS ouput.