MKT. 6355

THEORY TESTING

Description:

This course will examine the interface between the philosophy of science underlying theory testing and statistical methodologies for testing theories. We will explore measurement issues (classical test theory, exploratory and confirmatory factor analysis, and item response theory), statistical inference and hypothesis testing, path analysis and structural equations modeling from both an econometric perspective (that is, issues of exogeneity and instrumental variables) and the latent variable structural equations modeling perspective (LISREL-type models). Special attention will be given to the assessment of causality. Issues regarding experimental and quasi-experimental designs and analysis will be included. The course is designed to provide the student with a sound basis for conducting original research and with the background for studying more specialized and advanced techniques.

The course will consist of both lecture and discussion of assigned readings. A paper describing the analysis of new data or a re-analysis of existing data constitutes the primary requirement for the course. Some of the readings are available at http://rhowell.ba.ttu.edu under the heading “Readings for theory testing”. For further information, contact roy.howell@ttu.edu.

Objectives:

Upon
completion of the course, the students will be able to:

– recognize situations in which
structural equation modeling may be useful,

– demonstrate a general understanding of structural equation
modeling techniques,

– use structural equation modeling techniques in their
research

– explain the limitations of structural equation modeling
techniques, and

– critique articles that use
structural equation modeling techniques.

Project – Students will critique a published
article that uses structural equation modeling. The critique will focus on the
analyses used in the article. It should discuss whether the use of structural
equation modeling is appropriate/inappropriate. The
critique should also include a discussion of the properties and development of
the measures used in the study. In addition, the student will try to reproduce
the analysis undertaken in the article. (Therefore, the article needs to
include either a correlation matrix or a covariance matrix.)

Alternatively,
students may perform structural equation modeling on a data set of their
choice. Briefly summarize the rationale for the model, and write-up the results
and conclusions in journal format.

Abbreviated
class notes available at: class1 class2

Grading:

Class
participation and discussion 40%

Project 60%

Tentative
Class Schedule CHECK WEEKLY FOR UPDATES!!

Week 1 Introduction

Basics,
History

Week 2 A philosophy for theory testing Meehl article Review article

Exploring
SEM Bring
an article employing SEM for discussion

Week 3 Path Analysis

Models
imply covariances

Testing fit Excel example

Week 4 Adding the measurement model Anderson and Gerbing article

Latent
variables and CFA Borsboom
articles – latent variables, validity

Week 5 LISREL programming and output run ex56.ls8 from LISREL manual and bring
output

Fit
indices Week
6 Model modification

Mediation analysis alpha mediation1
mediation2

Week 6 Fit revisited Fit1 Yuan Saris

Moderation Little

Missing
Data Missing
1 Missing 2

Week 8 Mean Structures

Ordinal
Data Ordinal

Multiple
Group Analysis BSM
Invariance

Multilevel

Week 9 Causation Pearl Rubin

Omitted
variables,

2SLS Wooldrige

__Search
for ‘Heckman selection bias’ and ‘propensity score matching’ & prepare to
discuss__

Week 10 Reporting SEM analyses Reporting 1 Reporting 2

__Revisit
the article you discussed the second week of class. How do you feel about it
now?__