This revision of a best selling research methods textbook has been revised to include more on modeling, a new chapter 20 which addresses challenges to modeling and a capstone chapter 21 which helps students recognize good research.
This revision of a best selling research methods textbook has been revised to include more on modeling, a new chapter 20 which addresses challenges to modeling and a capstone chapter 21 which helps students recognize good research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Contents: Preface. Part I: Overview. Introduction. A Model of Empirical Research. Part II: Measurement: Understanding Construct Validity. Measurement Foundations: Validity and Validation. Measurement Applications: Research Questionnaires. Part III: Design: Addressing Internal Validity. Research Design Foundations. Design Applications: Experiments and Quasi-Experiments. Design Applications: Field Studies and Surveys. Part IV: Analysis: Investigating Empirical Relationships. Data Analysis Foundations. Analysis Applications: Describing Scores on a Single Variable. Analysis Applications: Simple Correlation and Regression. Analysis Applications: Multiple Correlation and Regression. Part V: Statistical Validation. Statistical Inference Foundations. Statistical Inference Applications. Part VI: Generalization: Addressing External Validity. External Validity. Part VII: Research Reports. Research Report Writing. Part VIII: Extensions. On Incomplete Data. On Reliability. On Multicollinearity. On Casual Models and Statistical Modeling. On Statistical Modeling Challenges. On Good Research.
Contents: Preface. Part I: Overview. Introduction. A Model of Empirical Research. Part II: Measurement: Understanding Construct Validity. Measurement Foundations: Validity and Validation. Measurement Applications: Research Questionnaires. Part III: Design: Addressing Internal Validity. Research Design Foundations. Design Applications: Experiments and Quasi-Experiments. Design Applications: Field Studies and Surveys. Part IV: Analysis: Investigating Empirical Relationships. Data Analysis Foundations. Analysis Applications: Describing Scores on a Single Variable. Analysis Applications: Simple Correlation and Regression. Analysis Applications: Multiple Correlation and Regression. Part V: Statistical Validation. Statistical Inference Foundations. Statistical Inference Applications. Part VI: Generalization: Addressing External Validity. External Validity. Part VII: Research Reports. Research Report Writing. Part VIII: Extensions. On Incomplete Data. On Reliability. On Multicollinearity. On Casual Models and Statistical Modeling. On Statistical Modeling Challenges. On Good Research.
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