
Quantitative research methods and statistical analysis
Description
Book Introduction
This one-semester course covers basic quantitative research methods and statistical analysis techniques, with additional in-depth content.
It is also a textbook for KOCW's 'Educational Statistics', an open online lecture.
After studying this book, you will be able to read and write papers on your own.
It is also a textbook for KOCW's 'Educational Statistics', an open online lecture.
After studying this book, you will be able to read and write papers on your own.
index
preface
Chapter 1: Fundamentals of Quantitative Research
1.
Variables and Scales
2.
Sampling method
3.
Descriptive and inferential statistics
4. SPSS Example
? Practice problems
Chapter 2: Experimental Design and Validity Threats
1.
Experimental design and internal validity threats
2.
Threats to external validity and construct validity
? Practice problems
Chapter 3: Fundamentals of Statistical Analysis
1.
Statistical hypothesis testing
2.
random variable
3.
Central limit theorem
4.
Basic probability distribution
? Practice problems
Chapter 4: Z-test and t-test
1.
Inference statistics
2.
single-sample test
3.
independent sample test
4.
Paired sample test
? Practice problems
Chapter 5 Correlation Analysis and Reliability
1.
Correlation analysis
2.
Reliability
? Practice problems
Chapter 6 Regression Analysis I: Simple Regression Analysis
1.
Statistical models and assumptions
2.
Checking Statistical Assumptions: Residual Analysis
3.
Hypothesis testing
4. SPSS Example
? Practice problems
Chapter 7 Regression Analysis II: Multiple Regression Analysis
1.
Statistical models and assumptions
2.
Hypothesis testing
3.
Variable selection and multicollinearity
4.
Other Key Concepts
5. SPSS Example
? Practice problems
Chapter 8 ANOVA I: One-Way ANOVA
1.
Statistical models and assumptions
2.
Checking Statistical Assumptions: Residual Analysis
3.
Hypothesis testing, sum-of-squares decomposition, and F-test
4.
Contrast and post-comparison
5.
Other Key Concepts
6. SPSS Example
? Practice problems
Chapter 9 ANOVA II: Two-Way ANOVA
1.
Statistical models and assumptions
2.
Hypothesis testing
3.
Main effects and interaction effects
4.
Example of interaction effects
5. SPSS Example
? Practice problems
Chapter 10 ANCOVA (Analysis of Covariance)
1.
Statistical models and assumptions
2.
Hypothesis testing
3.
Key Concepts
4. Things to keep in mind when conducting ANCOVA studies
5. SPSS Example
? Practice problems
Chapter 11 rANOVA (Repeated Measures Analysis of Variance)
1.
Essential Terminology
2.
Statistical models and assumptions
3.
Hypothesis testing, sum-of-squares decomposition, and F-test
4.
caution
5. SPSS Example
? Practice problems
Chapter 12 Categorical Data Analysis (Chi-Square Test)
1.
Cross-tabulation
2.
Logistic regression model
? Practice problems
Chapter 13 Nonparametric Tests
1.
independent sample test
2.
Paired sample test
3. SPSS example
? Practice problems
supplement
〈Appendix 1〉 Distribution Table
Appendix 2: Classification Criteria for US WWC Papers
Appendix 3: APA Citation Format Rules and Examples
Practice Problem Answers and Solutions
References
Search: SPSS, analysis data, tables, figures, in-depth, people, content
Chapter 1: Fundamentals of Quantitative Research
1.
Variables and Scales
2.
Sampling method
3.
Descriptive and inferential statistics
4. SPSS Example
? Practice problems
Chapter 2: Experimental Design and Validity Threats
1.
Experimental design and internal validity threats
2.
Threats to external validity and construct validity
? Practice problems
Chapter 3: Fundamentals of Statistical Analysis
1.
Statistical hypothesis testing
2.
random variable
3.
Central limit theorem
4.
Basic probability distribution
? Practice problems
Chapter 4: Z-test and t-test
1.
Inference statistics
2.
single-sample test
3.
independent sample test
4.
Paired sample test
? Practice problems
Chapter 5 Correlation Analysis and Reliability
1.
Correlation analysis
2.
Reliability
? Practice problems
Chapter 6 Regression Analysis I: Simple Regression Analysis
1.
Statistical models and assumptions
2.
Checking Statistical Assumptions: Residual Analysis
3.
Hypothesis testing
4. SPSS Example
? Practice problems
Chapter 7 Regression Analysis II: Multiple Regression Analysis
1.
Statistical models and assumptions
2.
Hypothesis testing
3.
Variable selection and multicollinearity
4.
Other Key Concepts
5. SPSS Example
? Practice problems
Chapter 8 ANOVA I: One-Way ANOVA
1.
Statistical models and assumptions
2.
Checking Statistical Assumptions: Residual Analysis
3.
Hypothesis testing, sum-of-squares decomposition, and F-test
4.
Contrast and post-comparison
5.
Other Key Concepts
6. SPSS Example
? Practice problems
Chapter 9 ANOVA II: Two-Way ANOVA
1.
Statistical models and assumptions
2.
Hypothesis testing
3.
Main effects and interaction effects
4.
Example of interaction effects
5. SPSS Example
? Practice problems
Chapter 10 ANCOVA (Analysis of Covariance)
1.
Statistical models and assumptions
2.
Hypothesis testing
3.
Key Concepts
4. Things to keep in mind when conducting ANCOVA studies
5. SPSS Example
? Practice problems
Chapter 11 rANOVA (Repeated Measures Analysis of Variance)
1.
Essential Terminology
2.
Statistical models and assumptions
3.
Hypothesis testing, sum-of-squares decomposition, and F-test
4.
caution
5. SPSS Example
? Practice problems
Chapter 12 Categorical Data Analysis (Chi-Square Test)
1.
Cross-tabulation
2.
Logistic regression model
? Practice problems
Chapter 13 Nonparametric Tests
1.
independent sample test
2.
Paired sample test
3. SPSS example
? Practice problems
supplement
〈Appendix 1〉 Distribution Table
Appendix 2: Classification Criteria for US WWC Papers
Appendix 3: APA Citation Format Rules and Examples
Practice Problem Answers and Solutions
References
Search: SPSS, analysis data, tables, figures, in-depth, people, content
GOODS SPECIFICS
- Publication date: February 22, 2022
- Page count, weight, size: 496 pages | 1,000g | 188*254*22mm
- ISBN13: 9788999726224
- ISBN10: 8999726223
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