Jamovi statistical analysis
 |
Description
Book Introduction
This book is structured so that you can learn step-by-step, starting from installing jamovi and moving on to multilevel models and structural equation models, which are related to advanced statistical analysis.
In this process, we have minimized the formulas and theories of statistics so that even beginners can easily use it.
It consists of 21 chapters in total, with chapters 1 and 2 covering jamovi installation and data processing, and chapters 3 to 5 covering basic concepts of statistical analysis and descriptive statistical analysis.
Chapters 6 through 16 begin with an explanation of statistical tests and then cover inferential statistical analysis, specifically mean difference tests, correlation analysis, regression analysis, and variance analysis.
Chapters 17 and 18 cover logistic regression and Poisson regression analysis, which are generalized linear models, and Chapter 19 covers multilevel models.
Chapter 20 covers factor analysis, which is the basis of structural equation models, and the final chapter, Chapter 21, covers structural equation models.
This chapter provides a basic theoretical explanation of structural equation models and details the entire process from path models to complete structural equation models.
In this process, we have minimized the formulas and theories of statistics so that even beginners can easily use it.
It consists of 21 chapters in total, with chapters 1 and 2 covering jamovi installation and data processing, and chapters 3 to 5 covering basic concepts of statistical analysis and descriptive statistical analysis.
Chapters 6 through 16 begin with an explanation of statistical tests and then cover inferential statistical analysis, specifically mean difference tests, correlation analysis, regression analysis, and variance analysis.
Chapters 17 and 18 cover logistic regression and Poisson regression analysis, which are generalized linear models, and Chapter 19 covers multilevel models.
Chapter 20 covers factor analysis, which is the basis of structural equation models, and the final chapter, Chapter 21, covers structural equation models.
This chapter provides a basic theoretical explanation of structural equation models and details the entire process from path models to complete structural equation models.
index
Preface to the 2nd edition
Preface to the 1st edition
1 Installing jamovi
1.
Installing jamovi
2.
Loading data
2 Data Processing
1.
Types of variables
2.
Average calculation
3.
Standardized scores
4.
Coding changes
5.
Case Selection
6.
Missing value handling
3 Basic Concepts of Statistical Analysis
1.
Classification of statistical analysis
2.
Basic concepts of statistical analysis
4 Frequency analysis and descriptive statistics
1.
Frequency analysis
2.
Descriptive statistics
3.
Create various plots
4.
partition table
Reliability analysis of the 5-scale
6 Statistical tests
1.
Hypothesis testing
2.
Confidence interval test
7 Chi-square test
1.
Chi-square test
2.
Cochran-Mantel-Haenszel chi-square test
3.
McNemar test
8 Mean difference test
1.
Single-group mean difference test
2.
Test of mean difference between corresponding groups
3.
Test for difference in means between two groups
4.
single-group nonparametric test
5.
Matched-group nonparametric tests
6.
Two-group nonparametric test
9 Correlation Analysis
1.
Correlation analysis
2.
Partial correlation analysis and semi-partial correlation analysis
10 Regression Analysis
1.
The meaning of regression analysis and the least squares regression model
2.
Running regression analysis
3.
Diagnosis of regression models
4.
Transformation of dependent variables
5.
multiple regression analysis
6.
Multicollinearity and Model Diagnostics
11 Mediating and moderating effects
1.
mediating effect
2.
Moderating effect
3.
Moderated mediation effect
4.
Mediated moderating effect
5.
Multiple mediation effects
12 One-Way ANOVA
1.
One-way ANOVA
2.
Kruskal-Wallis test
13 Two-way ANOVA
14 Covariance Analysis
15 Repeated Measures ANOVA
16 Multivariate ANOVA
1.
multivariate analysis of variance
2.
Robust Multivariate Analysis of Variance
17 Logistic Regression Analysis
1.
Binary logistic regression analysis
2.
multinomial logistic regression analysis
3.
Ordinal logistic regression analysis
18 Poisson regression analysis
1.
Running Poisson regression analysis
2.
Gwasanpo
19 Multilayer model
1.
Random intercept and slope model
2.
Models with cluster-level variables
3.
repeated measures model
4.
Multi-cluster repeated measures model
20 Factor Analysis
1.
principal component analysis
2.
Exploratory factor analysis
3.
Confirmatory factor analysis
21 Structural equation model
1.
Understanding structural equation models
2.
Characteristics of structural equation models
3.
Composition of structural equation model
4.
Analysis process of structural equation modeling
5.
Implementation of structural equation modeling
References
Search
Preface to the 1st edition
1 Installing jamovi
1.
Installing jamovi
2.
Loading data
2 Data Processing
1.
Types of variables
2.
Average calculation
3.
Standardized scores
4.
Coding changes
5.
Case Selection
6.
Missing value handling
3 Basic Concepts of Statistical Analysis
1.
Classification of statistical analysis
2.
Basic concepts of statistical analysis
4 Frequency analysis and descriptive statistics
1.
Frequency analysis
2.
Descriptive statistics
3.
Create various plots
4.
partition table
Reliability analysis of the 5-scale
6 Statistical tests
1.
Hypothesis testing
2.
Confidence interval test
7 Chi-square test
1.
Chi-square test
2.
Cochran-Mantel-Haenszel chi-square test
3.
McNemar test
8 Mean difference test
1.
Single-group mean difference test
2.
Test of mean difference between corresponding groups
3.
Test for difference in means between two groups
4.
single-group nonparametric test
5.
Matched-group nonparametric tests
6.
Two-group nonparametric test
9 Correlation Analysis
1.
Correlation analysis
2.
Partial correlation analysis and semi-partial correlation analysis
10 Regression Analysis
1.
The meaning of regression analysis and the least squares regression model
2.
Running regression analysis
3.
Diagnosis of regression models
4.
Transformation of dependent variables
5.
multiple regression analysis
6.
Multicollinearity and Model Diagnostics
11 Mediating and moderating effects
1.
mediating effect
2.
Moderating effect
3.
Moderated mediation effect
4.
Mediated moderating effect
5.
Multiple mediation effects
12 One-Way ANOVA
1.
One-way ANOVA
2.
Kruskal-Wallis test
13 Two-way ANOVA
14 Covariance Analysis
15 Repeated Measures ANOVA
16 Multivariate ANOVA
1.
multivariate analysis of variance
2.
Robust Multivariate Analysis of Variance
17 Logistic Regression Analysis
1.
Binary logistic regression analysis
2.
multinomial logistic regression analysis
3.
Ordinal logistic regression analysis
18 Poisson regression analysis
1.
Running Poisson regression analysis
2.
Gwasanpo
19 Multilayer model
1.
Random intercept and slope model
2.
Models with cluster-level variables
3.
repeated measures model
4.
Multi-cluster repeated measures model
20 Factor Analysis
1.
principal component analysis
2.
Exploratory factor analysis
3.
Confirmatory factor analysis
21 Structural equation model
1.
Understanding structural equation models
2.
Characteristics of structural equation models
3.
Composition of structural equation model
4.
Analysis process of structural equation modeling
5.
Implementation of structural equation modeling
References
Search
GOODS SPECIFICS
- Date of issue: July 20, 2023
- Page count, weight, size: 456 pages | 188*255*30mm
- ISBN13: 9788999729324
- ISBN10: 899972932X
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