SPSS Survival Manual: A Step-by-step Guide to Data Analysis Using SPSS for Windows (Version 10)This manual aims to demystify statistics and data analysis by guiding you through the entire research process and helping you choose the right statistical technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced techniques. Each technique is clearly outlined, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report. Illustrated with screen grabs, examples of output and tips, and supported by a website (www.openup.co.uk/spss) with sample data and guidelines on report writing, this manual can be used by students and researchers at any level alongside any major statistics textbook. |
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Contents
PART ONE GETTING STARTED | 1 |
Preparing a codebook | 12 |
PART TWO PREPARING THE DATA FILE | 27 |
Copyright | |
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Other editions - View all
SPSS Survival Manual: A step by step guide to data analysis using SPSS Julie Pallant Limited preview - 2004 |
SPSS Survival Manual: A step by step guide to data analysis using SPSS Julie Pallant Limited preview - 2001 |
Common terms and phrases
agegp3 analysis of variance ANOVA arrow button between-groups box labelled categorical variable Chapter chi-square Click on Continue codebook column components consider continuous dependent variable continuous variable correlation coefficients covariate Data Editor window data file dependent variable Descriptive Statistics displayed effect size error eta squared Example of research explore factor analysis Fear of Statistics fear of stats Friedman Test graph independent variable e.g. Interpretation of output intervention kurtosis Levene's Test linear Mahalanobis distance males and females mean scores menu multiple regression multivariate statistics Negative Affect Non-parametric alternative normal number of different one-way optimism scores option outliers perceived control post-hoc tests principal components analysis procedure is shown questionnaire relationship research question sample scale scatterplot screen click significant difference social desirability statistical techniques statistically significant Step survey.sav t-test Tabachnick and Fidell Total PCOISS Total perceived stress two-way variable name Variables box