Handbooks

Doctor of Philosophy in
Nursing Science Handbook

Appendix B: Statistics Course Titles and Descriptions

BIOMEDICAL AND HEALTH INFORMATION SCIENCES

BHIS 501 Statistics for Health Informatics – 3 sh
Builds on participants' existing knowledge of descriptive statistics and fundamental inferential statistics for application in the field of health informatics. Emphasizes qualitative methods.
Prerequisite: Graduate standing and one introductory course in statistics (e.g. BSTT 400, Biostatistics I or the equivalent).

BIOSTATISTICS

BSTT 400 Biostatistics I – 3 sh
Descriptive statistics, basic probability concepts, one- and two-sample statistical inference, analysis of variance, and simple linear regression. Introduction to a statistical computer package such as Minitab or SAS.
Prerequisite: Consent of the instructor.

BSTT 401 Biostatistics II – 4 sh
Simple and multiple linear regression, stepwise regression, multifactor analysis of variance and covariance, non-parametric methods, logistic regression, analysis of categorical data; extensive use of computer software.
Prerequisite: BSTT 400 Biostatistics I.

EDUCATIONAL PSYCHOLOGY

EPSY 503 Essentials of Quantitative Inquiry in Education – 4 sh
Introduces theory and assumptions behind parametric statistics. Also provides hands-on experience in conducting basic quantitative research (t-test, correlation, regression, analysis of variance).
Prerequisite: Graduate standing and admission to the PhD in Education program or consent of the instructor.

EPSY 547 Multiple Regression in Educational Research – 4 sh
Introduction to multiple correlation and regression techniques as tools for the analysis and interpretation of educational and behavioral science data.
Prerequisite: EPSY 503, Introduction to Inferential Statistics in Education.

EPSY 563 Advanced Analysis of Variance in Educational Research – 4 sh
Detailed coverage of the principles of analysis of variance and the analysis of data collected from research employing experimental designs.
Prerequisite: EPSY 503 Introduction to Inferential Statistics in Education.

EPSY 583 Multivariate Analysis of Educational Data – 4 sh
Introduction to multivariate statistical methods in education including data screening, canonical correlation, MANOVA/MANCOVA, DFA, profile analysis, component/factor analysis, confirmatory factor analysis, and structural equation modeling.
Prerequisite: EPSY 547 (Multiple Regression in Educational Research) or EPSY 563 (Advanced Analysis of Variance in Educational Research).

INFORMATION AND DECISION SCIENCES

IDS 570 Statistics for Management – 4 sh
Survey of statistical methods with applications for business and management.
Prerequisite: Admission to any business graduate program or consent of the instructor.

IDS 571 Statistical Quality Control and Assurance – 4 sh
The importance of quality in products and services, quality surveillance, Deming's management method, Ishikawa's seven tools, control charts, acceptance sampling, quality improvement using directed experiments.
Prerequisite: At least one term of statistics.

MEDICAL-SURGICAL NURSING

NUMS 545 Biometrics and Applied Statistics – 4 sh
Application of recent procedures in statistical analysis. Emphasis is on design of experiments and regression analysis; use of BMDP software on Mainframe/VAX computers.
Prerequisite: Graduate standing; and NUSC 525 (Intermediate Statistics) or the equivalent or consent of the instructor.

NUMS 546 Multivariate Analysis for Health Sciences – 3 sh
Practical applications of multivariate techniques in health sciences. Minimal involvement in mathematics provided one has basic understanding of multivariate analysis.
Prerequisite: NUMS 545 Biometrics and Applied Statistics.

PSYCHOLOGY

PSCH 545 Multivariate Analysis - 3 sh
The statistical analysis of functional relationships among two or more variables; multivariate regression, canonical correlation, discriminate analysis, multivariate analysis of variance, principal components, factor analysis, logistic regression, cluster analysis.
Prerequisite: PSCH 543 (Research Design and Analysis), and graduate standing in psychology; or consent of the instructor.

SOCIOLOGY

SOC 401 Sociological Statistics – 4 sh
Descriptive and inferential statistics for graduate and advanced undergraduate sociology majors and related fields. Tests of means, regression, correlation, analysis of variance, and related topics.
Prerequisite: SOC 201 Introductory Sociological Statistics and 202 Introduction to Sociological Research or consent of the instructor.

SOC 402 Intermediate Statistics – 4 sh
The general linear model emphasizing regression. Analysis of variance and covariance. Simple structural equation models. Simple categorical methods. Elementary matrix algebra.
Prerequisite: SOC 401 Sociological Statistics.