SPSS survival manual : a step by step guide to data analysis using SPSS for Windows (version 12)

著者

書誌事項

SPSS survival manual : a step by step guide to data analysis using SPSS for Windows (version 12)

Julie Pallant

Open University Press, c2005

2nd ed

大学図書館所蔵 件 / 全7件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

The SPSS Survival Manual throws a lifeline to students and researchers grappling with the SPSS data analysis software. In this fully revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, 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. Statistical techniques covered include: Descriptive statistics Correlation Multiple regression Logistic regression Factor analysis T-tests Analysis of variance Multivariate analysis of variance Analysis of covariance Non-parametric tests For both beginners and experienced SPSS users in psychology, education, business, sociology, health and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This second edition includes new examples, a new section on logistic regression and fully integrated coverage of SPSS version 12.

目次

Data files and website Introduction & overview PART ONE: GETTING STARTED Chapter 1: Designing a study Chapter 2: Preparing a codebook Chapter 3: Getting to know SPSS PART TWO: PREPARING THE DATA FILE Chapter 4: Creating a data file and entering data Chapter 5: Screening and cleaning the data PART THREE: PRELIMINARY ANALYSES Chapter 6: Descriptive statistics Chapter 7: Using graphs to describe and explore data Chapter 8: Manipulating the data Chapter 9: Checking the reliability of a scale Chapter 10: Choosing the right statistic PART FOUR: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS Techniques covered in Part Four Revision of the basics References Chapter 11: Correlation Chapter 12: Partial correlation Chapter 13: Multiple regression Chapter 14: Logistic regression Chapter 15: Factor analysis PART FIVE: 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 Chapter 16: T-tests Chapter 17: One-way analysis of variance Chapter 18: Two-way between-groups ANOVA Chapter 19: Mixed between-within subjects analysis of variance Chapter 20: Multivariate analysis of variance Chapter 21: Analysis of covariance Chapter 22: Non-parametric statistics Appendices Recommended references Index

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