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Index
Cover Page Title Copyright Preface Contents Chapter 1 Introduction to Research
What is Science? Science as Voyage of Discovery Critical Science The Demarcation Problem What is Methodology? Causal Science Interpretive Science The Research Process Testing Theories Research as a General Competency References
Chapter 2 The Research Problem
Introduction Statement of Research Problem Justification Scope Objectives Organization of Study References
Chapter 3 Framework or Hypothesis
Literature Review Framework Hypothesis Research Proposal Research Ethics and Risk Assessment References
Chapter 4 Research Design I: Case Study
Features of Case Studies Sampling Causal Case Study Interpretive Case Study References
Chapter 5 Research Design II: Survey
Features of Surveys Types of surveys Sampling Probability Samples Non-probability Samples Sample Size Errors in Surveys Pilot Survey Perceptions of Train Service References
Chapter 6 Research Design III: Comparative Design
Features of Comparative Designs Method of Agreement Method of Difference Comparison and Causation Sampling Four Little Dragons Limitations of Comparative Designs References
Chapter 7 Research Design IV: Experiment
Features of Experimental Design Classical Experimental Design Parallel Group Design Repeat Measures Design Randomized Block Design References
Chapter 8 Research Design V: Regression
Features of Regression Design Sampling Hedonic Price Model References
Chapter 9 Methods of Data Collection
Data Collection Methods Scales Observations Interviews Questionnaires Standardized Tests Use of Physical Instruments Simulation Review of Documents References
Chapter 10 Collection and Processing of Data
Introduction Access Research Assistants Equipment Documents Note-taking Chain of Evidence Reliability Tracking of Progress Data Processing Big Data References
Chapter 11 Qualitative Data Analysis
Types of Qualitative Data Coding Reflexivity Narrative Discourse Analysis Content Analysis Grounded Theory References
Chapter 12 Quantitative Data Analysis I: Survey Data
Nature of Survey Data Exploratory Data Analysis Spatial Sata Index Numbers Ratings Ranks Contingency Table References
Chapter 13 Quantitative Data Analysis II: Experimental Data
Parallel Group Design Repeat Measures Design Randomized Block Design References
Chapter 14 Quantitative Data Analysis III: Regression Data (Part I)
Linear Regression Model Assumptions Least Squares Estimation Coefficient of Determination Tests of Significance Forecasting References
Chapter 15 Quantitative Data Analysis III: Regression Data (Part II)
The Linear Model in Matrix Form Properties of OLS Estimator Tests of Significance Transformation of Nonlinear Functions Dummy Variables Interacting Variables Maximum Likelihood Estimation Nonlinear Least Squares Non-Normal Errors Outliers Testing Restrictions on Parameters Heteroscedasticity Multicollinearity Qualitative Dependent Variable Reverse Causality Time Series: Autocorrelation Time Series: Non-Stationarity and Co-Integration References
Chapter 16 Concluding Your Study
Format Summary Contributions and Implications Limitations Recommendations Suggestions for Further Research
Chapter 17 The Research Report
Format The Writing Process Writing Style Writing Form References
Appendix
1. Critical Points for Chi-square Distribution 2. Critical Points for t Distribution 3. Critical Points for F Distribution 4. Areas Under the Standard Normal Distribution
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