Frank Castronova

Frank Castronova

Part-Time Faculty


Curriculum vitae

Frank Castronova


Public Health


  • BA economics
  • MA Economics
  • PhD Evaluation and Research

Awards and grants

Dr. Castronova is an Accredited Professional Statistician as certified by the American Statistical Association and a Chartered Statistician as certified by the Royal Statistical Society. He is a member of the American Statistical Association, a fellow of the Royal Statistical Society, and a member of Omicron Delta Epsilon (international honor society in economics).

Courses taught

Graduate Courses Taught at Wayne State University 


PH3200 - Biostatistics


SW 9300    Applied Regression Analysis and Generalized Linear Models. Cr.    3

          Classic regression models, generalized linear models, including weighted least-squares, hierarchical linear models, logistic regression. Using SPSS to analyze social work practice data; interpretation of findings; communication of findings to scholars and practitioners.    


PSY 6500    Advanced Psychological Statistics. Cr.    3

          Offered for graduate credit only. Review of core statistical procedures; in-depth exploration of concepts of correlation and regression. Brief review of descriptive statistics and methods of statistical inference. Statistical software will be introduced and used.  


EER 7650 Computer Use in Research 

Prereq: EER 7630. Introduction to computer use in educational research with emphasis on using statistical packages (MIDAS and SPSS, BASIC programming language); writing statistical programs.


EER 7610 Evaluation and Measurement 

Principles and practices of evaluation and measurement with special focus on behavioral goals. Informal and formal evaluational strategies. Problems of self-evaluation. Logical, philosophical, and linguistic problems of evaluational methods and devices. Metrical analyses and standards. Innovations in educational assessment and accountability. Teacher-made tests. 


EER 7630 Fundamentals of Statistics 

Review of mathematics essential for statistics, sampling, computer use. Basic patterns of statistical inference, confidence estimation and significance testing regarding measures of averages, dispersion, correlation, and selected non-parametric statistics. One-way and two-way analysis of variance. 


EER 7640 Fundamentals of Quantitative Research 

Basic skills in educational research; nomenclature, problem, theory, hypothesis formulation; bibliographical and documentary techniques; retrieval systems; development of data-gathering instrumentation; computer orientation and research uses; collection and organization of data; manuscript development; report writing; techniques, methodologies for descriptive and experimental inquiry. 

EER 8800 Variance and Covariance Analysis Cr. 4

Multiple, partial, canonical correlation: variance and covariance analysis; Models I and II. Statistical analysis in experimental designs; Random Blocks, Latin Squares, Greco-Latin Squares, simple and complex factorials, confounding, fractional and split-plot designs. Supporting topics and techniques; missing observations; adjustment of means; probing the homogeneity of means and variances; study of contrasts; orthogonal polynomials and computer usage.



EER 8820 Multivariate Analysis 

Prereq: EER 8800 or equiv. Discriminant analysis, profile analysis; placement and classification problems; component and factor analysis. Supporting topics and techniques; transformation of variables, computer usage. 


EER 8992 Research and Experimental Design 

Prereq: EER 7630 or equiv. Design of empirical research for students possessing basic knowledge of statistics. Topics include hypothesis construction, sampling theory, experimental and quasi-experimental designs, selection of statistical procedure, and construction of data gathering instruments.


SW 7810 Using and Conducting Research in Social Work 

Prereq: B.S.W. degree and admission to planned degree program in the School; coreq: S W 7620. Integrative summer bridge course for advanced standing students. Enhancement of ability to integrate research findings into evaluation of social work practice at the micro, mezzo, and macro levels. 

SW 7820 Research Methods in Social Work I 

Open only to students admitted to a planned program in School of Social Work. First of two courses focused on basic concepts and methods of scientific inquiry as utilized in building knowledge for social work practice.


SW 7830 Research Methods in Social Work II 

Prereq: S W 7820. Second of two courses focused on basic concepts and methods of scientific inquiry as utilized in evaluating service delivery and in enhancing the performance of social work practitioners. 


PH 7210 Research Methods for Health Professionals

Required of all MPH students. Logic of research design; formulation of research problems and objectives; development of hypotheses, specification of variables; sampling; random assignment; issues in measurement; data collection; sources of error; analyses. Computer laboratory included. 



Incremental coursework

 Graduate course work in urban planning