SPSS survival manual : a step by step guide to data analysis using için kapak resmi
SPSS survival manual : a step by step guide to data analysis using
Başlık:
SPSS survival manual : a step by step guide to data analysis using
ISBN:
0335216404 020 9780335216406
Basım Bilgisi:
4. bs.
Yayım Bilgisi:
Maidenhead, Berkshire. U.K. New York, NY : 2010.
Fiziksel Açıklamalar:
xvi, 318 p. : şkl. ; 26 cm.
Genel Not:
Includes bibliographical references (p. 313-315) Spiral bound.

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
Özet:
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