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SPSS survival manual : a step by step guide to data analysis using SPSS

Julie Pallant
TLDR
In this paper, SPSS is used to explore relationships among variables using graphs to describe and explore the data, checking the reliability of a scale, choosing the right statistic, and comparing groups.
Abstract
Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index

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Feelings of abandonment and quality of life among older persons in rural northeast Thailand.

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Enhancing Pre-Service Elementary Teachers’ Self-Efficacy and Critical Thinking using Problem-Based Learning

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Effect of cooperative learning strategy on students’ retention in circle geometry in secondary schools in Benue State, Nigeria

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The effects of personal and organizational factors on role ambiguity amongst internal auditors

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Trending Questions (2)
What are the key steps in designing a quantitative research study using SPSS?

Key steps in designing a quantitative research study using SPSS include designing the study, preparing a codebook, creating a data file, and choosing the right statistic for analysis.

How can I use SPSS to analyze my data?

The paper provides a step-by-step guide on how to use SPSS for data analysis, including designing a study, preparing a codebook, creating a data file, conducting preliminary analyses, and using various statistical techniques to explore relationships among variables and compare groups.