SPSS 6.1 guide to data analysis Norusis, Marija J. Primary Author mixed material bibliography Englewood Cliffs Prentice Hall 1995 en English

Printed Material

xviii, 582 p. : figures ; index ; 24 cm. A clear, practical, systematic presentation of basic statistical techniques. This easy-to-follow book provides a comprehensive overview of the entire research process—from question formulations through sampling, data collection and data analysis. In clear, descriptive language, this book explains how to design research for computer analysis, get data into the computer and perform simple analyses. Actual survey data sets are used to explain these fundamental concepts. TABLE OF CONTENTS I. GETTING STARTED. 1. Answering a Question. 2. Finding Your Way in SPSS. 3. Basics of Creating a Data File. II. DESCRIBING DATA. 1. Examining Frequencies. 2. Computing Descriptive Statistics. 3. Comparing Groups. 4. Looking at Distributions. 5. Crosstabulations. 6. Plotting Data. III. TESTING HYPOTHESES. 1. What Does it Mean to Test Statistical Hypotheses? 2. The Normal Distribution. 3. Drawing Conclusions About a Single Mean. 4. Testing Hypotheses About Two Related Means. 5. Testing Hypotheses About Two Independent Means. 6. One Way Analysis of Variance. 7. Two Way Analysis of Variance. 8. Testing Hypotheses About Independence. 9. Nonparametric Tests. IV. LOOKING FOR RELATIONSHIPS. 1. Measuring Association in Crosstabulations. 2. Measuring Association for Interval Data. 3. Testing Bivariate Regression Hypotheses. 4. Analyzing Residuals. 5. Building Multiple Regression Models. 6. Diagnostics for Multiple Regression Models. Data analysis Statistics SPSS UA/WB Perpustakaan - Sekolah Tinggi Manajemen PPM Pusat Informasi Manajemen UA/WB Nor 32013 General (General) UA/WB Nor 29826 2004-09-03 00:00:00 2021-08-24 10:53:54 machine generated