Classes
I Teach at Virginia Tech
STAT 5634--Behavioral Statistics (syllabus):
Basic statistical methods used in research in the behavioral sciences with emphasis on the applications of these methods. Descriptive statistics, correlational analyses, and intermediate inferential methods will be discussed.
Classes
I Taught at MSU
CEP
920--Instrument Development (syllabus):
This course presents an application-oriented introduction to evaluating
existing and constructing new instruments for making educational
and psychological measures. Students will learn the process of
evaluating an existing instrument or constructing a new instrument.
The relevant concepts will be illustrated through examples presented
in the medium of raw score and latent trait modeling. Knowledge
of algebra is required, but higher mathematics is not necessary.
Mastery of basic statistical concepts (e.g., those covered in
CEP 932) is required. Familiarity with and access to a statistical
package (e.g., SAS or SPSS) is required.
CEP
921--Psychometric Theory I (syllabus):
This course presents a theory-oriented introduction to psychometrics—the
measurement of educational and psychological traits. Students
will learn the statistical basis for creating educational/psychological
measures, and topics will focus on issues such as measurement,
scaling, validity, true score test theory, measurement error,
reliability, generalizability theory, item response theory, measurement
bias, and factor analysis. Knowledge of algebra is required as
is familiarity with calculus concepts. Familiarity with a statistical
package is required. CEP 920 (or comparable experience or coursework
in instrument construction) and CEP 932 and CEP 933 (or a comparable
two-semester graduate-level course sequence in statistics) is
required.
CEP
932--Quantitative Methods I (syllabus):
This course provides an introduction to data analysis and statistical
inference. Students learn to describe data (quantitatively and
graphically), to select and compute statistical estimates and
hypothesis tests, to use computer packages to accomplish these
tasks, and to interpret and write about the results of the estimates
and tests. Knowledge of basic algebra (e.g., as measured by the
required pretest) is needed. Higher mathematics (e.g., trigonometry,
calculus) is not used.
CEP
937--Survey Research Methods (syllabus):
This course provides an overview to survey research methods. Students
learn how to plan and execute a survey research project, design
instruments for collecting responses, and create an appropriate
sampling plan. CEP 933 (or a comparable graduate-level course
in statistics) is recommended.
CEP
991B--Logistic Regression (syllabus):
This course examines data analytic methods for categorical variables.
Specifically, the content focuses on statistical methods for analyzing
binary, polytomous, and Poisson variables using logistic regression.
The focus of the course is on basic concepts and procedures relating
to these types of analyses and implementation of those procedures
using SAS software. CEP 933 (or a comparable graduate-level course
in statistics) is recommended.
