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Undergraduate Social Science Stat Courses
Mays
College of Business
Department of Information and Operations Management
303. Statistical Methods. (3-0). Credit 3. I, II, S Collection, tabulation
and presentation of numerical data; sampling, estimation of averages and
variation, probability and error, hypothesis testing and correlation.
Prerequisites: MATH 142 and junior classification.
304. Business Forecasting Methods. (3-0). Credit 3. I, II Empirical and statistical study of economic fluctuations; business barometers and forecasting; statistical techniques for preparing individual organizational forecasts and long-range plans. Prerequisite: INFO 303 or equivalent.
305. Intermediate Business Statistics. (3-0). Credit 3. I, II, S Selected topics in statistical analysis; practical applications of to functional problems in accounting, finance, marketing and management; applications of existing computer programs minimize computations. Prerequisite: INFO 303 or equivalent.
435. Probabilistic Models for Business Decisions. (3-0). Credit 3. Structure and use of probabilistic models for business decisions; probability topics and their applications to inventory, queuing, simulation and decision analysis. Prerequisite: INFO 303 or equivalent.
College
of Education
Department of Educational Psychology
435. Educational Statistics. (3-0). Credit 3. I, II, S Statistical concepts
and techniques and their application in behavioral sciences. Prerequisite:
Junior or senior classification.
College
of Liberal Arts
Department of Economics
ECMT 463. Introduction to Econometrics. (3-0). Credit 3. Application of
mathematics and statistics to interpret economic phenomena; elementary
economic models and estimation techniques useful for estimating economic
relationships and theories. Prerequisites: CPSC 203 or INFO 209; ECON
322 or 323; MATH 131 or 142; STAT 211 or 303.
Department
of Psychology
203. Elementary Statistics for Psychology. (2-3). Credit 3. Practical
knowledge of statistics up through analysis of variance. Practice sessions
devoted to numerical problems. Will not satisfy mathematics requirement
in College of Liberal Arts curricula. Prerequisites: PSYC 107; MATH 166
or equivalent; major in psychology.
Department
of Sociology
229. Qualitative Methods. (3-0). Credit 3. Methodologies in social research
with emphasis on qualitative dimensions of inquiry; topics include in-depth
interviewing, observation, unobtrusive measures, analysis of documents,
fieldwork issues, ethics, note-taking, preliminary data analysis, and
an overview of writing research reports based on qualitative research.
420. Advanced Methods of Social Research. (2-2). Credit3. I, II Philosophy and methods of social research, including research design; methods of observation; questionnaires, interviews and other sources of social data; qualitative and quantitative techniques of inference, analysis and research report writing. Prerequisite: SOCI 220
College
of Science
Department of Statistics
302. Statistical Methods. (3-0). Credit 3. I, II, S Intended for undergraduate
students in the biological sciences and agriculture (except agricultural
economics). Introduction to concepts of random sampling and statistical
inference; estimation and testing hypotheses of means and variances; analysis
of variance; regression analysis; chi-square tests. Credit will not be
allowed for more than one of STAT 301, 302, or 303. Prerequisite: MATH
141 or 166 or equivalent.
303. Statistical Methods. (3-0). Credit 3. I, II, S Intended for undergraduate students in the social sciences. Introduction to concepts of random sampling and statistical inference, estimation and testing hypotheses of means and variances, analysis of variance, regression analysis, chi-square tests. Credit will not be allowed for more than one of STAT 301, 302, or 303. Prerequisite: MATH 141 or 166 or equivalent.
414. Mathematical Statistics I. (3-0). Credit 3. I Introduction to the mathematical theory of statistics, including random variables and their distributions, expectation and variance, point estimation, confidence intervals and hypotheses testing. Prerequisites: MATH 221, 251 or 253.
415. Mathematical
Statistics II. (3-0). Credit 3. II Continuation of the mathematical theory
of statistics, including sampling and limiting distributions, principles
for statistical inference and inference for bivariate and categorical
data. Prerequisite: STAT 414.
Graduate
Social Science Stat Courses
Mays
College of Business
Department of Marketing
688. Doctoral Seminar. (3-0). Credit 3. Historical development of the
conceptual framework of
marketing theory and practices; analysis of current research and controversial
issues in the
field. May be repeated for credit three times. Classification 6 students
may not enroll in this
course. Prerequisite: Doctoral classification.
Department
of Management
621. Research Methods for HR Professionals. (3-0). Credit 3. Direct experience
in formulation of
HRM issues as hypotheses and selection and implementation of appropriate
research
designs and statistical tools to evaluate such hypotheses; properties
of appropriate criteria,
measures, designs and statistical tests in context of contemporary HRM
issues; ethical issues
in HRM research. Prerequisites: STAT 651 or equivalent; graduate classification.
686. Research
Methods in Organizational Science II. (3-0). Credit 3. Continuation of
topics
introduced in Management 687; additional topics include survey research
methodology,
quantitative and qualitative field methods; archival data collection;
measurement and meth-ods
across time; issues in peer review and publication. Prerequisites: Doctoral
classification
and MGMT 687 or approval of instructor.
687. Research
Methods in Organizational Science I. (3-0). Credit 3. Philosophy of science,
the-ory
development; survey of research methodology applicable to the study of
organizational
phenomena; research strategy and design; measurement and sampling issues;
data collection
methods; problems and issues in organizational research. Prerequisites:
Doctoral classifica-tion
or approval of instructor; STAT 651 or equivalent.
690. Theory
of Research in Management. (3-0). Credit 3. Research practicum; application
of
research methodology learned in MGMT 687; advanced readings in research
methods;
fundamental skills and concepts needed to design and conduct dissertation
research. Classi-fication
6 students may not enroll in this course. Prerequisites: Doctoral classification
or
approval of instructor; MGMT 687 or equivalent.
Department
of Information and Operations Management
605. Quantitative Analysis for Business Decisions. (3-0). Credit 3. Formulation
and structuring
of business problems using selected quantitative techniques; investigation
of prior research
and formulation of specific problems. Classification 6 students may not
enroll in this course.
Prerequisite: Approval of instructor.
610. Quantitative
Analysis for Business Decisions. Credit 1 to 3. Formulation and structuring
of business problems using selected quantitative techniques; modeling
and statistical analy-sis
stress computer applications. May be repeated for up to 3 hours credit.
Classification 6
students may not enroll in this course. Prerequisite: Enrollment is limited
to BUAD classifi-cation
7.
641. Theory
and Research in Management Information Systems. (3-0). Credit 3. Theory,
appli-cations,
and human and organizational issues of Management Information Systems
(MIS);
current academic research into the analysis, design, and implementation
of computer infor-mation
systems. Classification 6 students may not enroll in this course. Prerequisites:
PhD
classification and approval of instructor.
650-Business
Data Mining Credit 3. Tools and methods of business data mining using
SAS Enterpise Miner
software. Prerequisite STAT 651 or equivalent
655. Forecasting
Methods and Applications. (3-0). Credit 3. Development of statistical
models
for describing business trends and economic fluctuations, generation of
forecasts and error
limits, evaluation of forecasts; applications to economic data arising
in business. Classifica-tion
6 students may not enroll in this course. Prerequisite: STAT 651 or equivalent
or
approval of instructor. Cross-listed with STAT 655.
657. Methods
in Multivariate Analysis. (3-0). Credit 3. Multivariate extensions of
the chi-square
and t-tests, discrimination and classification procedures; applications
to diagnostic problems
in biological, medical, anthropological and social research; multivariate
analysis of variance,
principal component and factor analysis, canonical correlations. Classification
6 students
may not enroll in this course. Prerequisites: MATH 423 and STAT 602 or
608 or approval of
instructor. Cross-listed with STAT 636.
690. Theory
of Research in Information and Operations Management. (3-0). Credit 3.
Design of
research and the evaluation of research results using examples from the
current research lit-erature.
Classification 6 students may not enroll in this course. Prerequisite:
Approval of
instructor.
College of Education
Department of Educational Administration and Human Resource Development
623. Advanced Fieldwork Methods. (3-0). Credit 3. To explore by conducting
exemplary field
examples, qualitative methods, their strengths and weaknesses; to learn
how to keep and
utilize ethnographic reflexive journals and methodological logs; and to
understand the meth-odological
decision points which indicate one method which may be preferable to another.
Prerequisite: EDAD 690 or approval of instructor.
690. Theory
of Educational Administration Research. Credit 3 to 6. Design of research
and
inquiry in various areas of educational administration; application of
models and research
procedures from the social and the management sciences to policy issues
and problems in
educational organizations; case studies. May be repeated for credit.
(a) Research Design (b) Proposal Preparation (c) Research-Naturalistic
Inquiry
Department of Educational Psychology
625. Advanced Behavioral Measurement. (3-0). Credit 3. Psychometric theory,
planning, con-struction,
analysis, and evaluation of written and performance tests; item analysis,
norms,
reliability, and validity studies; factor analysis of tests. Prerequisites:
EPSY 640; approval of
department head.
630. Single-Case
Research. (3-0). Credit 3. Provides skills to conduct research with N=1
designs
in the area of special education, school counseling and school psychology;
provides the pro-cedures
and applications to scenarios in classroom and clinic settings; students
are required
to collect and analyze data in three mini studies. Prerequisite: Approval
of instructor and
department head.
631. Program
Evaluation in School and Clinic. (3-0). Credit 3. Learning of key evaluation
skills:
establishing focus with client, posing evaluation questions, data collection
techniques,
designing for internal validity, data aggregation; scenario practice.
Prerequisite: Approval of
instructor and department head.
636. Techniques
of Research. (3-0). Credit 3. Fundamental concepts and tools of research
applied
to psychological and educational problems; rationale of research, analysis
of problems,
library skills, sampling, appraisal instruments, statistical description
and inference, writing
the research report and representative research designs. Prerequisite:
Approval of depart-ment
head.
640. Experimental
Design in Education I. (3-0). Credit 3. Preparation in experimental research
design in educational studies; application of statistical methods in these
designs. Prere-qui-sites:
EPSY 636 or equivalent; approval of department head.
641. Experimental
Design in Education II. (3-0). Credit 3. Preparation in research design
in edu-cational
studies; application of statistical methods in these designs. Prerequisites:
EPSY 640;
approval of instructor and department head.
642. Meta-Analysis
of Behavioral Research. (3-0). Credit 3. Principles and use of quantitative
techniques for research integration in education and other behavioral
disciplines; computer-based
and branching literature searches, coding protocols, theory of effect
size estimation,
analysis and reporting. Prerequisites: EPSY 439 or STAT 651; EPSY 636
or equivalent;
approval of department head.
643. Applied
Multivariate Methods. (3-0). Credit 3. This seminar presents various techniques
for applied multivariate modeling of phenomena in educational psychology.
Prerequisites:
EPSY 640 and 641 or approval of instructor; approval of department head.
683. Field
Practicum in… Credit 1 to 15. Supervised experience in professional
employment
settings in educational psychology. Wide range of practical experiences
and activities as
listed below that are closely supervised by departmental faculty. Repeatable
to 15 hours
total. Prerequisite: Approval of instructor and department head.
(a) Special Education (c) Instructional Psychology (e) Educating the Gifted
and talented
(b) Educational Assessment (d) Applied Research
It is recommended
that 683 follows 690
690. Theory of Educational Psychology Research. (3-0). Credit 3. Theory
and design of research
problems and experiments in various subfields of educational psychology;
communication
of research proposals and results; evaluation of current research of faculty
and students and
review of current literature. May be repeated for credit. Prerequisite:
Approval of instructor
and department head.
Topics rotate among: Structural Equation Modeling, Noparametric Methods,
Item Response Theory, Loglinear Modeling,
Survey Research Methods.
College
of Liberal Arts
Department of Anthropology
642. Research Design in Anthropology. (3-0). Credit 3. Research design
used by anthropologists
to develop sampling strategies, test hypotheses and compile quantitative
data. Prerequisites:
ANTH 602 and STAT 652 or equivalent.
Department
of Economics
655. Experimental Economics. (3-0). Credit 3. Experimental methods in
choice behavior experi-ments,
survey research, planned economic environments and animal experiments.
Prerequisite: Approval of instructor.
659. Game
Theory. (3-0). Credit 3. Static and dynamic games of complete and incomplete
infor-mation
and other advanced topics in game theory.
690. Theory
of Economic Research. (3-0). Credit 3. Design of research experiments
in various
subfields of economics, and evaluation of research results with the aid
of examples taken
from the current scientific literature.
675. Econometrics
I. (3-0). Credit 3. Empirical distributions of economic variables; elementary
discrete and continuous distributions expressing econometric hypotheses,
distributions of
estimators and test statistics. Prerequisites: MATH 151 and 152 or approval
of instructor.
676. Econometrics
II. (3-0). Credit 3. Use of statistics in economic theory as device for
testing
hypotheses, formulation of concepts and economic forecasting; regression
analysis in eco-nomics
problems, heteroskedasticity, aurocorrelation, distributed lags, regressions
with
lagged dependent variable, dummy variables and in introduction to multi-equations
economics models. Prerequisite: ECMT 675 or equivalent.
677. Econometrics
III. (3-0). Credit 3. Estimation methods applied to economic problems;
techniques include single and simultaneous equations models; general linear
model in
matrix form; tests of linear restrictions; Wald, Likelihood Ratio and
Lagrange Multiplier
tests; seemingly unrelated regressions, simultaneous equations identification
and estimation;
missing observations, errors in variables and non-linear estimation in
economics problems.
Prerequisites: ECMT 675 and 676; STAT 610 or approval of instructor.
678. Econometrics
IV. (3-0). Credit 3. Continuation of ECMT 677. Estimation methods applied
to
economic problems; techniques include qualitative limited dependent variables;
pooled
time-series and cross-section data; instrumental variables in economics
problems. May
repeated for credit. Prerequisite: ECMT 677.
679. Econometrics
V. (3-0). Credit 3. Advanced topics in time series econometrics, including
ARMA models, unit roots and cointegration. Prerequisite: ECMT 677.
Department of Political Science
602. Quantitative Political Analysis. (3-0). Credit 3. Theory, techniques
and applications of
quantitative analysis in political science. Required for political science
majors. Prerequisite:
POLS 601 or equivalent.
603. Quantitative
Political Analysis II. (2-2). Credit 3. Introduction to advanced applications
of
quantitative analysis in political science; critical evaluation of the
use of several advanced
statistical techniques in political analysis. Prerequisite: POLS 602 or
equivalent.
606. Advanced
Research Methods for Political Scientists. (3-0). Credit 3. Advanced techniques
for specialized problems in empirical political analysis, including voter
choice models, longi-tudinal
data, elite interviewing, problems of formal theory and others. May be
taken three
times. Prerequisites: POLS 601 and 602 or equivalents.
Department
of Psychology
607. Experimental Psychology. (2-3). Credit 3. Experimental methods; developing
a general
frame of reference for approaching experimental research problems.
621. Research
Synthesis. (3-0). Credit 3. Quantitative techniques for research synthesis
in social and behavioral sciences. Literature searches, coding protocols,
effect size estimation--
especially from experimental designs, fixed- and random-effects analyses,
and reporting.
623. Standardized
Tests and Measurements. (3-0). Credit 3. Principles of psychological testing;
uses and critical evaluation of tests of achievement, intelligence, aptitude
and personality.
671. Experimental
Design for Behavioral Scientists. (2-3). Credit 3. Intensive practical
study of
designs of special interest to behavioral scientists; repeated measures
designs. Prerequisite:
STAT 652 or equivalent.
672. Factor
Analysis for Behavioral Scientists. (2-3). Credit 3. Principles and uses
of Factor
Analysis in behavioral research; implementation, alternate factor models
and interpretation
with heavy use of numerical examples. Prerequisite: PSYC 671 or approval
of instructor.
673. Psychometric
Theory and Methods. (2-3). Credit 3. Overview of methods for the construc-tion
and evaluation of psychological measurement instruments including unidimensional
scales and multivariate analytical techniques: approaches include classical
test theory, factor
analysis, unidimensional scaling, latent trait theory, profile and discriminant
analysis. Pre-requisites:
PSYC 607 and 671 or equivalents.
674. Covariance
Structure Models and Causal Analysis. (3-0). Credit 3. Advanced introduction
to structural equation models and causal analysis; emphasis on underlying
theory and
assumptions as well as practical application for the behavioral sciences.
Prerequisite:
PSYC 671 or STAT 608 or approval of the instructor.
Department
of Sociology
623. Measurement of Sociological Parameters. (3-0). Credit 3. Sociological
research including
scaling, scale analysis and experimental design. Prerequisites: Graduate
classification; three
hours of statistics.
624. Qualitative
Methodology. (3-0). Credit 3. Course provides exposure to and critical
assess-ment
of qualitative approaches to data gathering in social science; topics
include naturalistic
observation, field research skills, unobtrusive measures and grounded
theory construction.
631. Seminar
in Sociological Research. (3-0). Credit 3. Critical analysis of research
procedures
used by sociologists. Prerequisite: SOCI 623.
633. Demographic
Methods. (3-0). Credit 3. Procedures and techniques for the collection,
evaluation and analysis of demographic data; measures of population growth,
composition,
fertility, mortality and migration. Prerequisite: SOCI 622.
College
of Science
Department of Statistics
Courses for non majors
607. Sampling. (3-0). Credit 3. Planning, execution and analysis of sampling
from finite popula-tions;
simple, stratified, multistage and systematic sampling; ratio estimates.
Prerequisite:
STAT 601 or 651 or concurrent enrollment in STAT 641.
636. Methods
in Multivariate Analysis. (3-0). Credit 3. Multivariate extensions of
the chi-square
and t-tests, discrimination and classification procedures; applications
to diagnostic problems
in biological, medical, anthropological and social research; multivariate
analysis of variance,
principal component and factor analysis, canonical correlations. Prerequisites:
MATH 423
and STAT 602 or 608 or approval of instructor. Cross-listed with INFO
657.
637. Statistical
Methods in Ecology. (3-0). Credit 3. Derivation and application of statistical
distributions for sampling models, birth-death processes, time intervals,
size models,
heterogeneous and clustered models in ecology; stochastic models for population
growth,
competition and predation and multi-dimensional processes. Prerequisite:
STAT 601, 641 or
651 with approval of instructor.
651. Statistics
in Research I. (3-0). Credit 3. For graduate students in other disciplines;
non-calculus
exposition of the concepts, methods and usage of statistical data analysis;
T-tests,
analysis of variance and linear regression. Prerequisite: MATH 102 or
equivalent.
652. Statistics
in Research II. (3-0). Credit 3. Continuation of STAT 651. Concepts of
experimen-tal
design, individual treatment comparisons, randomized blocks and factorial
experiments,
multiple regression, x2 tests and a brief introduction to covariance,
non-parametric methods
and sample surveys. Prerequisite: STAT 651.
653 New course to replace stat 608 regression and STAT 619 (Design of Exaperiments and Analysis of Variance
659. Applied
Categorical Data Analysis. (3-0). Credit 3. Introduction to analysis and
interpreta-tion
of categorical data using ANOVA/regression analogs; includes contingency
tables,
loglinear models, logistic regression; use of computer software such as
SAS, GLIM, SPSSX.
Prerequisite: STAT 601, 641 or 652 or equivalent.
414. Mathematical
Statistics I. (3-0). Credit 3. I Introduction to the mathematical theory
of
statistics, including random variables and their distributions, expectation
and variance,
point estimation, confidence intervals and hypothesis testing. Prerequisites:
MATH 221, 251
or 253.
610. Theory
of Statistics I. (3-0). Credit 3. Brief introduction to probability theory;
distributions
and expectations of random variables, transformations of random variables
and order statis-tics;
generating functions and basic limit concepts. Prerequisite: MATH 409
or concurrent
enrollment in MATH 409.
611. Theory
of Statistics II. (3-0). Credit 3. Theory of estimation and hypothesis
testing; point
estimation, interval estimation, sufficient statistics, decision theory,
most powerful tests, like-lihood
ratio tests, chi-square tests. Prerequisite: STAT 610 or equivalent.
612. Theory
of Linear Models. (3-0). Credit 3. Theory of least squares, theory of
general linear hypotheses and associated small sample distribution theory,
analysis of multiple classifica-tions.
Prerequisites: STAT 611 or equivalent; MATH 423.
613. Intermediate Theory of Statistics. (3-0). Credit 3. General theory of estimation and suffi-ciency including maximum likelihood and minimum variance estimation; Neyman-Pearson theory of testing hypotheses; elements of decision theory. Prerequisites: STAT 611; MATH 409.
615. Stochastic Processes. (3-0). Credit 3. Survey of the theory of Poisson processes, discrete and continuous time Markov chains, renewal processes, birth and death processes, diffusion pro-cesses and covariance stationary processes. Prerequisites: STAT 611; MATH 409.
616. Multivariate Analysis. (3-0). Credit 3. Multivariate normal distributions and multivariate generalizations of classical test criteria, Hotelling's T2, discriminant analysis and elements of factor and canonical analysis. Prerequisites: STAT 611 and 612.
635. Application
of Stochastic Processes to the Natural Sciences. (3-0). Credit 3. Basic
concepts,
Random walks, Markov chains, branching processes, Markov processes in
continuous time,
homogeneous and nonhomogeneous processes, multi-dimensional processes,
queuing
processes, epidemic processes, competition and predation, diffusion and
non-Markovian
processes. Prerequisite: STAT 610 or approval of instructor.