Daily Archives: 16 January 2016

Structural Equation Modelling

Structural Equation Modelling The student version of LISREL will be used for the application sessions.  Participants are therefore strongly recommended to bring their student version of LISREL installed-laptops to class for the application sessions. The student version of LISREL can be

Social and Political Survey Research

Social and Political Survey Research Social and Political Survey Research Prof. Allan L. McCutcheon ( amccutcheon1@unl.edu) Course Syllabus and Information 1. Overview of the Course  The field of survey methodology draws on theories and practices developed in several academic disciplines

Anil Kumar Bera

Anil K. Bera Anil K. Bera was born in a remote village Paschimchak, West Bengal, India. He attended his village schools, Narendrapur Ramkrishna Mission College, and the Indian Statistical Institute, Calcutta and Delhi. Anil received his Ph.D. in Econometrics from

Allan L. McCutcheon

Allan L. McCutcheon Allan L. McCutcheon holds the Donald O. Clifton Chair of Survey Science, and is Professor of Statistics and Survey Research & Methodology at the University of Nebraska at Lincoln; he is also the founding Director of the

Spatial Econometrics

Spatial Econometrics From the University of Illinois at Urbana-Champaign Anil K. Bera’s course is entitled “Spatial Econometrics”. The course will have two parts: Spatial Statistics and Spatial Econometrics. The aim of this course is to build up a strong theory

Latent Class Analysis

Course Content Course Objectives Course Outline Course Prerequisites Remedial Reading Representative Background Reading

Course Prerequisites

Participants should have some understanding of basic probability and contingency tables (crosstabulation), as well as basic algebra. A solid understanding of the logic of causality, such as found in regression and factor analysis, is also necessary. The mathematics/statistics underlying the

Representative Background Reading

McCutcheon, A., and Mills, C. 1998. ‘Categorical data analysis: Log-linear and latent class models’, in E. Scarbrough and E. Tanenbaum (Eds.), Research Strategies in the Social Sciences. Oxford University Press.

Remedial Reading

Davis, J. A. 1986. The Logic of Causal Order. Sage. QASS No.55.

Course Outline

Allan L. McCutcheon Week 1 Monday Class: An Introduction to the Latent Class Model: Causal and Noncausal Analysis  [Reading: McCutcheon (1987a), Chapters 1 & 2] -Continuous Data: Regression and Factor Analysis Models -Categorical Data: Loglinear and Latent Class Models -Latent