Measurement, Evaluation, and Statistics
Teachers College, Columbia University

# Measurement, Evaluation, and Statistics

In the Department of Human Development

Course Listing > Welcome

# Course Listing

## Department Courses:

Please check the Class Schedule or contact the department for specific course availability for each semester:

HUD 4120 Methods of empirical research
An introduction to the methods of scientific inquiry, research planning, and techniques of making observations and analyzing and presenting data.
Instructor(s): Kevin Scully

HUDM 4050 Introduction to measurement
An introduction to basic concepts and issues in measurement. Descriptive statistics, scales of measurement, norms, reliability, validity. Advantages and limitations of measurement techniques are discussed and illustrated.
Instructor(s): Lawrence DeCarlo

HUDM 4120 Basic concepts in statistics
Descriptive statistics including organizing, summarizing, reporting, and interpreting data. Understanding relationships expressed by cross-tabulation, breakdown, and scatterdiagrams. Designed as a one-semester introduction to statistical methods. Will include reading journal articles. Lab fee \$50.00
Instructor(s): Young-Sun Lee

HUDM 4122 Probability and statistical inference
Prerequisite: HUDM 4120 or undergraduate statistics course. Elementary probability theory; random variables and probability distributions; sampling distributions; estimation theory and hypothesis testing using binomial, normal, T, chi square, and F distributions.Lab fee \$50.00
Instructor(s): James Corter, Young-Sun Lee

HUDM 4901 Research and independent study: Measurement and evaluation
Permission required.

HUDM 4902 Research and independent study: Applied statistics
Permission required.

HUDM 5058 Choice and decision making
Prerequisite: HUDM 4122 or equivalent. Surveys quantitative models of individual decision making, from the introduction of the notion of "utility" by Daniel Bernoulli through current models such as Tversky and Kahnemanâ€™s "Prospect Theory." The focus is on psychological or descriptive models of how people make decisions, although methods of rational decision analysis are briefly discussed.
Instructor(s): James Corter

HUDM 5059 Psychological measurement
Open to doctoral and Ed.M. students in psychology; others only by permission. A previous course in statistics or measurement is recommended. An in-depth examination of measurement and associated techniques, norms, classical test theory, reli-ability, validity, item response theory, issues, and applications.
Instructor(s): Lawrence DeCarlo

HUDM 5122 Applied regression analysis
Prerequisite: HUDM 4122 or permission of instructor. Least squares estimation theory. Traditional simple and multiple regression models and polynomial regression models, with grouping variables including one-way ANOVA, two-way ANOVA, and analysis of covariance. Lab devoted to applications of SPSS regression program. Lab fee: \$50.
Instructor(s): James Corter, Young-Sun Lee, Laura Tipton

HUDM 5123 Linear models and experimental design
Prerequisite: HUDM 5122. Analysis of variance models including within subject designs, mixed models, blocking, Latin Square, path analysis, and models with categorical dependent variables. Lab devoted to computer applications. Lab fee: \$50.
Instructor(s): James Corter, Matthew Johnson

HUDM 5124 Multidimensional scaling and clustering
Permission required. Prerequisites: HUDM 4122 and HUDM 5122 or equivalent. Methods of analyzing proximity data (similarities, correlations, etc.), including multidimensional scaling, which represents similarities among items by plotting the items into a geometric space, and cluster analysis for grouping items.
Instructor(s): James Corter

HUDM 5250 Research practicum in measurement and evaluation
Permission required. Students enrolled are expected to spend a semester involved in a research project, either assisting a faculty member or in an applied setting. A formal report will be submitted.

HUDM 6026 Statistical treatment of mass data
Prerequisite: HUDM 5123 or equivalent. Examines problems involved in preparing and analyzing large data sets. Includes a survey of data manipulation and statistical tools in SAS (Statistical Analysis System). Optional topics: introduction to numerical methods and survey of â€œdata miningâ€ tools.
Instructor(s): Matthew Johnson

HUDM 6030 Multilevel longitudinal data analysis
Prerequisite: HUDM 5122. Multilevel models include a broad range of models called by various names, such as random effects models, multi-level models, and growth curve models. This course introduces the background and computer skills needed to understand and utilize these models.
Instructor(s): Lawrence DeCarlo

HUDM 6051 Psychometric theory I
Permission required. Prerequisites: HUDM 5059, HUDM 5122, or equivalents. Psychometric theory underlying test construction; classical test theory, item response theory, and applications.
Instructor(s): Young-Sun Lee

HUDM 6052 Psychometric theory II
Permission required. Prerequisites: HUDM 5059, HUDM 5122, or equivalents. Psychometric theory underlying test construction; classical test theory, item response theory, and applications.
Instructor(s): Young-Sun Lee

HUDM 6055 Latent structure analysis
Permission required. Prerequisite: HUDM 5122. Recommended: HUDM 6122. Study of latent structure analysis, including measurement models for latent traits and latent classes, path analysis, factor analysis, structural equations, and categorical data analysis.
Instructor(s): Lawrence DeCarlo

HUDM 6122 Multivariate analysis I
Permission required. Prerequisite: HUDM 5122 or equivalent; HUDM 5123 is recommended. An introduction to multivariate statistical analysis, including matrix algebra, general linear hypothesis and application, profile analysis, principal components analysis, discriminant analysis, and classification methods.
Instructor(s): Lawrence DeCarlo, Matthew Johnson

HUDM 6123 Multivariate analysis II
Permission required. Prerequisite: HUDM 6122. A continuation of multivariate statistical analysis, including canonical analysis, MANOVA, factor analysis, and categorical data analysis.
Instructor(s): Lawrence DeCarlo

HUDM 6552 Seminar: Selected topics in measurement theory
Prerequisites: HUDM 6051 and HUDM 6122. One or more topics of current interest examined in depth.

HUDM 6900 Advanced research and independent study
Permission required.

HUDM 7500 Dissertation seminar
Permission required. Development of doctoral dissertations and presentation of plans for approval. Registration limited to two terms.