How Do I Choose the Best Quantitative Methods Course?

Method selection and example analysis. This book tells the reader how to quickly select and use the appropriate statistical analysis method according to the types of independent and dependent variables after the research theme, objects, and problems are clarified. This book provides examples for each statistical analysis method, and explains the meaning of the data in the statistical analysis charts one by one. The research questions and research conclusions are stated in Chinese and English in accordance with internationally accepted academic standards (APA format) in an attempt to help research Authors can write academic papers that conform to international norms in a way as simple as "complete blank questions." [1]

Method selection and example analysis

This book not only provides systematic guidance to researchers using quantitative research methods, but also provides detailed anatomy and digestion of most quantitative methods commonly used in social science research with examples. Each case in this book first explains the Chinese and English normative expressions of the research question, the characteristics of the variables, the diagrams of the variable relationships, the type of research design, and then details the specific steps of the analysis using SPSS software, and analyzes and explains the results generated by the software . Each example elaborates how to write research findings and conclusions in Chinese and English in accordance with the International Standard Format (APA). This book is suitable as a textbook or teaching reference book for graduate method courses, and a reference book for scientific researchers.
1 Introduction
1.1 Quantitative research methods
1.2 Study variables
1.2.1 Variable types
1.2.2 Independent, dependent, and external variables
1.2.3 "Intergroup Variables" and "Intragroup Variables"
1.3 Social Science Quantitative Research Methods
1.3.1 Characteristics and statistical tools of a single independent variable research method
1.3.2 Multi-independent variable research method characteristics and statistical tools
1.3.3 Statistical tools for correlation studies
1.4 Mixed Teaching Mode
2 Examples of parametric analysis methods where a single independent variable has two types of values
3 Examples of non-parametric analysis methods with two independent values for a single independent variable
4 Examples of parametric analysis methods where a single independent variable has three or more types of values
5 Examples of non-parametric analysis methods with single independent variables having three or more types of values
6 Examples of non-interaction comparison of multiple independent variables and single dependent variables
7 Examples of comparative research procedures with independent variables as mixed variables
8 Comparative study examples of significant independent variables and single dependent variables
9 Comparative research examples of significant independent variables and multiple dependent variables
10 Correlation analysis examples of two variables
11 Correlation analysis examples of multiple independent variables (multidimensional variables)
appendix
references
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