TY  - BOOK
AU  - Pallant,Julie
TI  - SPSS survival manual: a step by step guide to data analysis using SPSS for Windows (Version 10) 
SN  - 9780335208906 (pbk.) :
AV  - HA32 .P35 2001
U1  - 519.502855369 PAL 
PY  - 2001///
CY  - Buckingham
PB  - Open University Press
KW  - SPSS for Windows (Computer file)
KW  - Statistics
KW  - Data processing
KW  - Computer programs
KW  - Social sciences
KW  - Research
KW  - Statistical methods
KW  - Mathematics
KW  - ukslc
KW  - Social research & statistics
KW  - thema
KW  - Mathematical & statistical software
N1  - Includes bibliographical references and index; PART 1: GETTING STARTED:-1. Designing a study--Planning the study--Choosing appropriate scales and measures--Preparing a questionnaire--References--2. Preparing a codebook--Variable names--Coding responses--Coding open-ended questions--3. Getting to know SPSS-- Starting SPSS--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--5. Screening and cleaning the data- 1. Checking for errors-2. Finding the error in the data file-3. Correcting the error in the data file--References--PART 111: PRELIMINARY ANALYSES:- 6. Descriptive statistics--Categorical variables--Continuous variables--Assessing normality- Checking for outliers--References--7. Using graphs to describe and explore the data--Histograms--Bar graphs--Scatterplots--Boxplots--Line graphs--Editing a chart/graph--Importing charts/graphs intgo word documents--8. Manipulating the data--Calculating total scale scores--Transforming variables--Collapsing a continuous variable into groups --References--9. Checking the reliabiility of a scale--Details of example--Procedure for checking the reliability of a scale--Interpreting the output from reliability--Presenting the results from reliability--References--10. Choosing the right statistic--Overview of the different statistical techniques--The decision-making process--Key features of the major statistical techniques--References--Summary table of the characteristics of the main statistical techniques--PART 4: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS AMONG VARIABLES:- Techniques covered in part Four-- Revision of the basics--References--11. Correlation-- Details of example--Summary for correlation--Preliminary analyses for correlation--Procedure for calculating Pearson product-moment 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--References--12. Partial correlation--Details of example--Summary for partial correlation--Procedure for partial correlation--Interpretation of output from partial correlation--Presenting the results from partial correlation--References--13. Multiple regression--Major types of multiple regression--Assumptions of multiple regression--Details of example--Summary for multiple regression--Standard multiple regression--Hierarchial multiple regression--Presenting the results of multiple regression--References--14. Factor analysis--Steps involved in factor analysis--Details of example--Summary for factor analysis--Procedure for factor analysis--Part 1; Assessing the data and extracting the factors--Part 2; Factor rotation and interpretation--Presenting the results of factor analysis--References--PART 5: STATISTICAL TECHNIQUES TO COMPARE GROUPS:- Techniques covered in Part five--Assumptions--Type 1 error, Type 2 error and power--Planned comparisons/Post-hoc analyses--Effect size--References--15. T-tests--Independent-samples t-test--Details of example--Summary for independent-samples t-test--Procedure for independent-samples t-test--Interpretation of output from independent-samples t-test--Calculating the effect size for independent-samples t-test--Presenting the results for independent-samples t-test--Paired-samples t-test--Details of example--Summary for paired-samples t-test--Procedure for paired-samples t-test--Interpretation of output for paired-samples t-test--Calculating the effect size for paired-samples t-test--Presenting the results for paired-samples t-test--References--16. One-way analysis of variance--One-way between-groups ANOVA with post-hoc tests--Details of example--Summary for one-way between-groups ANOVA with post-hoc tests--Procedure for one-way between-groups ANOVA with post-hoc tests--Interpretation of output from one-way between-groups ANOVA with post-hoc tests--Calculating effect size--Presenting the results from one-way between-groups ANOVA with post-hoc tests--One-way between-groups ANOVA with planned comparisons-Specifying coefficient values--Procedure for one-way between-groups ANOVA with planned comparisons--Interpretation of output from one-way between-groups ANOVA with planned comparisons--One-way repeated measures ANOVA--Details of examples--Summary for one-way repeated measures ANOVA--Procedure for one-way repeated measures ANOVA--Interpretation of output from one-way repeated measures ANOVA--Presenting the results from one-way repeated measures ANOVA--References--17. Two-way between-groups ANOVA-- Details of example--Summary for two-way ANOVA--Procedure for two-way ANOVA--Interpretation of output from two-way ANOVA--Presenting the results from two-way ANOVA--Additional analyses if you obtain a significant interaction effect--References--18. Mixed between-within subjects analysis of variance--Details of example--Summary for mixed between-within ANOVA--Procedure for mixed between-within ANOVA--Interpretation of output from mixed between-within ANOVA--Presenting the results from mixed between-within ANOVA--References--19. Multivariate analysis of variance--Details of example--Summary for one-way MANOVA--Assumption testing--Performing MANOVA--Interpretation of output from MANOVA--Presenting the results from MANOVA--References--20. Analysis of covariance--Uses of ANCOVA--Assumptions of ANCOVA--One-way ANCOVA--Details of example--Summary for one-way ANCOVA--Testing assumptions--Procedure for one-way ANCOVA--Interpretation of output from one-way ANCOVA--Presenting the results from one-way ANCOVA--Tow-way ANCOVA--Details of example--Summary for two-way ANCOVA--Procedure for two-way ANCOVA--Interpretation of output from two-way ANCOVA--Presenting the results from two-way ANCOVA--References--21. Non-parametric statistics--Summary of techniques covered in this chapter--Chi-square--Mann-Whitney U Test--Wilcoxon Signed Rank Test--Kruskal-Wallis Test--Friedman Test--Spearman\'s Rank Order Correlation--References
N2  - 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
ER  -