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Utilizator

Courses

Courses 2013

GESIS Summer School: Item Nonresponse and Multiple Imputation. Instructors: Susanne Rassler and Florian Meinfelder. Koln, Germany, 12-16 August 2013.

An outline of the course: click HERE.

 

Courses 2012

1) „Comparative Research with Confirmatory Factor Analysis and Structural Equation Models”. This course was part of the prestigious „GESIS Spring Seminar”, 41st edition. The lecturers were Prof. em. Dr. Peter Schmidt (Giessen University, Germany) and Prof. dr. Eldad Davidov (University of Zurich, Switzerland).


Subjects:

  • Causality and empirical research, notation, different types of models, theory testing, use of the AMOS manual, SEMNET and Course material. Foundation of CFA: Process of linear causal modelling, types of input, assumptions, Types of  constraints, formalization, formative vs. reflective indicators, typology of models, treatment of missing values (pairwise vs. Full Information Maximum Likelihood - FIML).
  • Restrictions, Identification, Model Modifications, Global and Detailed Model Fit, Simultaneous Confirmatory Factor Analysis (SCFA).
  • MGCFA with intercepts and latent means, higher order CFA, MTMM.
  • Structural Equation Models (SEM) with latent variables and multiple indicators: Specification, identification and estimation. Causality and equivalent models. Typology of model testing. “The two step strategy“. Model Modification revisited.
  • Model testing and model modification. Detailed and global fit measures. Interpretation of parameters. Feedback models. Decomposition of effects. Bootstrapping for testing indirect and total causal effects. Mediation. SEM with multiple groups: Model specification and estimation. MIMIC Models. Moderation/interaction effect (the Little method). MIMIC Models with higher order factors, Latent Means and Intercepts.
  • Autoregressive models, cross-lagged models, latent growth curves.

 

2) „Evaluation and Improvement of Survey Questions Using Survey Quality Prediction (SQP)”. The lecturers were Melanie Revilla, Diana Zavala and Willem Saris (researchers at RECSM – Universitat Pompeu Fabra). Willem Saris is an important scholar for the social measurement domain. The course was followed by the „Alternative Procedures for Evaluation of Survey Questions” with lectures from Willem Saris (RECSM – Universitat Pompeu Fabra), Harry Ganzeboom (Free University of Amsterdam) and Daniel Oberski (Tilburg University).


Subjects from the course:

  • A simple introduction of Structural equation modeling. Definition of the reliability, validity and quality of survey questions. Estimation of reliability, validity and quality of questions using MTMM experiments.Estimation of reliability, validity and quality of questions using the program SQP 2.0. Differences in correlations and regression coefficients across methods and countries. Very different results are obtained when correction for measurement errors is applied. Similar results are obtained when estimates of the quality of the questions based on MTMM experiments are used. Similar results are obtained when estimates of the quality of the questions based on predictions by SQP 2.0 are used.
  • Design of questions using the three steps procedure. Evaluation of the questions by SQP 2.0. Improvement of the questions before they are used in the data collection. Estimation of composite scores for complex concepts. Evaluation of the quality of composite scores. Using the quality estimates for correction for measurement errors in analysis.


Subjects from the seminar:

  • An overview of the different ways of evaluating survey questions (Willem E. Saris)
  • Better two bad measures than one good one (Harry B. G. Ganzeboom)
  • The Latent Class MTMM model for discrete data (Daniel Oberski)

 

3) „Introduction to multilevel analysis”. The lecturers were Dr. Leoniek Wijngaards-de Meij and Dr. Irene Klugkist (Universitatea din Utrecht).


Subjects:

  • When and why multilevel analysis. The basic two-level regression model. Multilevel-analysis using different software: HLM, SPSS and MLwiN
  • Analysis strategy. Explained variance. Standardized coefficients. Assumptions. Categorical variables. Three level model. Centering of variables
  • Fixed and varying occasions. MANOVA approach. ML-longitudinal approach
  • Frequentist versus Bayesian statistics. Advantages of using a Bayesian approach. Estimation via MCMC sampling methods. How to work with WinBugs?

 

4) „Introduction to multilevel modeling with applications to quality-of-life studies”. This workshop was part of the XI International Society for Quality of Life Studies (ISQOLS) Conference „Discovering new frontiers in Quality-of-Life research”. The lecturers were Leonardo Grilli and Carla Rampichini (University of Florence).

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