Applied Statistics Using Stata

Mehmet Mehmetoglu is a Professor of Research Methods in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). His research interests include consumer psychology, evolutionary psychology and statistical methods. Mehmetoglu has co/publications in about 35 different refereed international journals, among which include Personality and Individual Differences, Evolutionary Psychology and the Journal of Statistical Software.  Tor Georg Jakobsen is professor of political science at NTNU Business School at the Norwegian University of Science and Technology. His research interests include political behavior, peace research and statistical methods. Jakobsen has authored and co-authored articles in, among others, European Sociological Review, Work, Employment and Society and Conflict Management and Peace Science.

Research and statistics
1.1The methodology of statistical research
1.2The statistical method
1.3The logic behind statistical inference
1.4General laws and theories
1.5Quantitative research papers
2.Introduction to Stata
2.1What is Stata?
2.2Entering and importing data into Stata
2.3Data management
2.4Descriptive statistics and graphs
2.5Bivariate inferential statistics
3.Simple (bivariate) regression
3.1What is regression analysis?
3.2Simple linear regression analysis
3.3Example in Stata
4.Multiple regression
4.1 Multiple linear regression analysis
4.2 Example in Stata
5.Dummy-Variable Regression
5.1Why dummy-variable regression?
5.2Regression with one dummy variable
5.3Regression with one dummy variable and a covariate
5.4Regression with more than one dummy variable
5.5Regression with more than one dummy variable and a covariate
5.6Regression with two separate sets of dummy variables
6.Interaction/moderation effects using regression
6.1Interaction/moderation effect
6.2Product-term approach
7.Linear regression assumptions and diagnostics
7.1Correct specification of the model
7.2Assumptions about residuals
7.3Influential observations
8.Logistic regression
8.1What is logistic regression?
8.2Assumptions of logistic regression
8.3Conditional effects
8.4Diagnostics
8.5Multinomial logistic regression
8.6Ordered logistic regression
9.Multilevel analysis
9.1Multilevel data
9.2Empty or intercept-only model
9.3Variance partition / intraclass correlation
9.4Random intercept model
9.5Level-2 explanatory variables
9.6Logistic multilevel model
9.7Random coefficient (slope) model
9.8Interaction effects
9.9Three-level models
10.Panel data analysis
10.1Panel data
10.2Pooled OLS
10.3Between effects
10.4Fixed effects (within estimator)
10.5Random effects
10.6Time-series cross-section methods
10.7Binary dependent variables
11.Exploratory factor analysis
11.1What is factor analysis?
11.2Factor analysis process
11.3Composite scores and reliability test
11.4 Example in Stata
12.Structural equation modelling and confirmatory factor analysis
12.1What is structural equation modelling?
12.2Confirmatory factor analysis
12.3Latent path analysis
13.Critical issues
13.1Transformation of variables
13.2Weighting cases
13.3Robust regression
13.4 Missing data