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1 Course Introduction Introduction.ppt

Project

 
2

Sampling & Survey

  • Introduction to sampling and sampling errors
  • Sampling method (probability and non-probability sampling)
  • Sampling design (population issue, sample size decision, and sampling method choice)
Sampling.ppt

Sampling.pdf (pdf file contains detailed notes)

 
3

Linear Regression I  -- Simple Linear Model

  • Assumptions of linear model
  • Model fitting with least square method
  • Model evaluation, model interpretation, and assumption checking
Regression1.ppt

Regression1.pdf

Assignment1.pdf

 
4

Linear Regression II – Multiple Regression

  • Model fitting
  • Model assumption checking
Regression2.ppt

Regression2.pdf

 
5

Linear Regression III

  • Higher-order regression model
  • Multicollinearity issue
  • Stepwise regression
  • Moderated multiple regress
  • Mediated regression
Regression3.ppt

Regression3.pdf

 
6

Factor Analysis I – Exploratory Factor Analysis

  • Scales and instrument validity
  • The reasoning of exploratory factor analysis
  • Principal component analysis
  • Factor rotation
  • Result interpretation
   
7

Factor Analysis II  -- Confirmatory Factor Analysis

  • Parallel items, tau equivalent items, and congeneric items
  • Convergent and discriminant validity in CFA
  • Factor analysis case study
   
8

Structural Equation Modeling

  • The concept of structural equation modeling
  • Model fitting
  • Model fitting indices
  • Model diagnosis
  • Model assumption and sample size
  • Case studies on constrained model test and multi-group model test
   
9

Experiment Design I 

  • Completely randomized design and ANOVA
  • Randomized block design and ANOVA
  • Group comparison and contrast
  • Treatment effect
   
10

Experiment Design II 

  • Factorial design and ANOVA
  • Covariate and ANCOVA
  • Case studies