| Research - Introduction Significance of Research Types of Research Basic Concepts: Hypothesis, Constructs, Variables Research Process Management Problem vs. Research Problem Factor Considered in Formulating Research Problem Preparing an Academic Research Proposal Research Design Meaning and Concepts Types: Exploratory, Descriptive and Experimental Methods of Exploratory Design Methods of Descriptive Design: Mail, Personal, Telephone, On-line Surveys Methods of Experimental Designs (pre, quasi, true and complex designs) Threats in Establishing Internal and External Validity Measurement and Scaling Types of Measurement Scale Construction Techniques Comparative vs. Non-comparative Scales Constructing Scales for Attitudinal Measurement: Thurstone, Guttman and Likert Scales Criteria for Good Measurement Testing Reliability and Validity of a Scale Sampling Sampling Concepts Sampling Process Sampling Techniques (Probability and Non-probability) Constructing Questionnaires Questionnaire vs. Schedule Guidelines in Constructing the Questionnaire Errors in Measurement Data Preparation and Analysis Concepts of Editing and Coding Data Analysis Concepts: Univariate, Bivariate and Multivariate Univariate Data Analysis One-Sample TTest One-Sample Goodness-of-fit Test Kolmogorov-Smirnov One-sample Test One-way Analysis of Variance (ANOVA) Kruskal-Wallis One-way ANOVA Tukey Multiple Comparison of Means Test Bivariate Data Analysis T-Test Paired-T test Pearson Correlation Spearman Rank Correlation Partial and Part Correlation Chi-square Test Kruskall Gamma, Lambda Tests Cohen's Kappa Regression Analysis Using a Continuous Independent Variable Regression Analysis Using a Categorical (Dummy) Independent variable Multivariate Analysis Two-way Anova Two-way Anova with Interaction Ancova Multiple Regression Factor Analysis Introduction to Structural Equation Modeling (SEM) Appendix:Statistical Tables Glossary Index References |
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