<p><b>A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences</b></p> <p>Written as a general and accessible introduction, <i>Applied Univariate, Bivariate, and Multivariate Statistics </i>provides an overview of statistic
Applied Univariate, Bivariate, and Multivariate Statistics Using SPSS
โ Scribed by Daniel J Denis
- Publisher
- Wiley
- Year
- 2018
- Tongue
- English
- Leaves
- 208
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Cover
SPSS Data Analysis for Univariate,
Bivariate, and Multivariate Statistics
ยฉ 2019
Contents
Preface
1 Review of Essential Statistical Principles
2 Introduction to SPSS
3 Exploratory Data Analysis, Basic Statistics, and Visual Displays
4 Data Management in SPSS
5 Inferential Tests on Correlations, Counts, and Means
6 Power Analysis and Estimating Sample Size
7 Analysis of Variance: Fixed and Random Effects
8 Repeated Measures ANOVA
9 Simple and Multiple Linear Regression
10 Logistic Regression
11 Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis
12 Principal Components Analysis
13 Exploratory Factor Analysis
14 Nonparametric Tests
Closing Remarks and Next Steps
References
Index
๐ SIMILAR VOLUMES
AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND BEHAVIORAL SCIENCES The revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R contains an