Recommended (non-M&C) Courses

The list below, compiled in spring 2002 (and therefore featuring now outdated course numbers), contains Temple University courses in qualitative and quantitative research methods and data analysis.

If you have taken or heard about non-M&C courses that may be of interest to M&C students, please send your suggestions to mcphd@temple.edu.

QUALITATIVE RESEARCH METHODS AND DATA ANALYSIS COURSES

Urban Education

0812 – Qualitative Data Collection 3 s.h.
Provides a foundation for conducting ethnographic research. Students are expected to develop a research question, develop a data collection plan, and collect qualitative data over the course of the semester.

African American Studies

0505 – Ethnographic Methods 3 s.h.
Examines the various classic and contemporary methods for collecting field data on African cultural and social behaviors. Emphasis on the use of audio and video data gathering methods, and participant observation.

Anthropology

0510 – Fieldwork in Ethnography 3 s.h.
Considers the methodology employed and the problems encountered in conducting ethnographic fieldwork. Each student will be expected to design and carry out a local field project

0660 – Advanced Research in Urban Ethnography 3 s.h.
For students who do research analysis in urban environments with emphasis on field techniques, research design, and interpretation data.

English

0707 – Theory and Methodology of American Literary Studies 3 s.h.
An examination of the major approaches to the study of American literature over the past fifty years, emphasizing methodologies and underlying theoretical assumptions and demonstrating the ongoing debate over the nature of American literary study.

0743 – Philosophy of Literary Criticism 3 s.h.

A study of problems that arise from reflection on the critic’s tasks of describing, interpreting, and judging literary works. Among the topics to be considered are the language of poetry, metaphor, style, form in literature, symbolism, truth, criteria of evaluation, obscenity.

0760 – Advanced Textual Analysis 3 s.h.

A study of complex texts, analyzing the discourses of disciplines, professions, and public institutions.

History

0438 – Applied Social History 3 s.h.
Introduction to the practical uses of history outside the classroom. Practical experience in the application of oral history, historic preservation, history museums, living history, material culture, the interpretations of photographs, and other ways of using historical studies in the community. On-site visits, guest lecturers, and a chance to focus on one aspect of a growing field.

0644 – Research in Archives and Manuscripts 3 s.h.
Second course of Archives sequence. Students, individually directed by the instructor, will undertake an in-depth research project. Investigations will concern some aspect of an operation or administration of archival institutions, or the care and preservation of records of historical significance.


Philosophy

0417 – Feminist Epistemology and Philosophy of Science 3 s.h.
A discussion of feminist perspectives on knowledge in general and science in particular, ranging from feminist empiricism, to feminist standpoint theory, to feminist post-moderism.

0704 – Seminar in Philosophy of Literary Criticism 3 s.h.
Topics concern the critic’s task of describing, interpreting, and judging literary works, e.g., the language of poetry, metaphor, style, form, symbolism, truth, evaluation, obscenity.

Political Science

0405 – Qualitative Research Methods 3 s.h.
Required of all Ph.D. candidates. Examination of some of the major qualitative research approaches in political science-case studies, comparative historical, institutional, community power studies, etc. Teaches the basic methods and reasoning procedures necessary for doing advanced research in political science.

Religion

0480 – Foundations in Textual Historical Studies in Religion 3 s.h.
Methodologies of research in historical studies and in the study of texts: the philosophy and practice of research on history and in the writing of history; research methods in historiography; the phenomenon of religious scripture; research methods in textual studies.


Sociology

513 – Classics in Sociology: Qualitative Methods 3 s.h.
An introduction to the logic and methods of social research. Focuses on the those issues concerning the validity of the conclusions reached and the problems that arise in making conclusions.


QUANTITATIVE RESEARCH METHODS AND DATA ANALYSIS COURSES

Education

0821 – Research Design in CITE 3 s.h.
Students are provided with practical experience in formulating research problems and designing appropriate methods to address those problems within a lifelong perspective of education and learning. An overview of various research designs, including both qualitative and quantitative designs are conducted. Students are expected to learn how to design research.


Educational Administration

0402 – Action and Collaborative Research Seminar 3 s.h.
Action research techniques for the classroom/educational setting. The focus of the action research is problem-driven rather than method-driven. Collaborative research efforts are encouraged.

0670 – Case Study Research Approaches 3 s.h.
Case study methods for clinical investigations and field studies in school.

Educational Psychology

0529 – Tests and Measurements 3 s.h.
An introduction to tests and measurements. Reliability, validity, interpretation of standardized test manuals. Survey of standardized aptitude, achievement, and personality tests. Students learn how to construct valid classroom tests.
Prerequisite: Ed. 525 or equivalent

0625 – Intermediate Educational Statistics 3 s.h.

Survey of issues, problems, and approaches involved in using ANOVA, correlational, and nonparametric procedures. Emphasizes guidelines for selecting statistical tests, computer-aided computation, and interpretation of results.
Prerequisite: Ed. 525 or equivalent

0627 – Introduction to Research Design 3 s.h.
How to design a valid research study. Emphasizes experimental research design issues (control strategies, models, sources of invalidity).
Prerequisite: Ed. 525 or equivalent

0629 – Test Construction and Validation 3 s.h.
Students will plan, develop, construct, revise, validate an instrument. Methods for assessing reliability and validity (especially construct validity) are emphasized. Item analysis techniques are included.
Prerequisite: Ed. Psy. 529 or equivalent

0825 – Advanced Statistics 3 s.h.

A survey of statistical techniques involving both between groups and correlational analyses.
Prerequisite: Ed Psy 625

0826 – Multivariate Research Methods 3 s.h.

Limited to matriculated doctoral students or those with permission of instructor. A survey of multivariate data analysis procedures, with a focus on parametric techniques. Students use computer library programs (e.g., BMDP, SPSS) to analyze data.
Prerequisite: Ed. Psy. 625

0827 – Advanced Analysis of Variance 3 s.h.

Emphasizes parametric analyses of variance and covariance, and their nonparametric analogs. Students use computer library programs (e.g., BMDP, SPSS) to analyze data.
Prerequisite: Ed. Psy. 625 Limited to matriculated doctoral students or those with permission of instructor.

Mathematics

0540 – Probability Theory 3 s.h.
With a rigorous approach the course covers the axioms, random variables, expectation and variance. Limit theorems are developed through characteristic functions. Offered every year.
Prerequisite: Math 233 or permission of instructor

0548 – Stochastic Processes 3 s.h.
Random sequences and functions; linear theory; limit theorems; Markov processes; branching processes; queuing processes. Offered every two years in the spring.
Prerequisite: Math 540

0557 – Real Analysis 3-6 s.h.

The syllabus coincides with the syllabus for the Ph.D. Examination in Real Analysis. Offered every year.
Prerequisite: Math 417 or equivalent

Political Science

0401 – Political Statistics I. 3 s.h.
Required of all M.A. candidates. Introductory applied social statistics. Topics covered include descriptive measures, elementary probability theory, hypothesis testing, and correlation and regression analysis.


Psychology

0522 – Graduate Statistics I. 3 s.h.
Review of hypothesis-testing methods for means, variances, correlations, and proportions. One-way ANOVA for completely randomized, blocked, and repeated measure designs. Planned and post hoc multiple comparisons.
Prerequisite: a course in elementary statistics

0523 – Survey of Multivariate Techniques 3 s.h.
Beginning with bivariate correlation and regression, generalizations are made, through the aid of matrix algebra, to multiple regression and correlation. Multivariate techniques also include principal components, canonical correlation, and multivariate analysis of variance use of available statistical programs.
Prerequisite: Psychology 522

0524 – Graduate Statistics II. 3 s.h.

Multiway ANOVA for completely randomized and repeated measures, nested designs, covariance designs. Simple effects and planned and post hoc comparisons. Use of available statistical computer programs.
Prerequisite: Psychology 522

0525 – Factor Analysis and Scaling 3 s.h.
Factor analysis covers exploratory and confirmatory methods, estimation procedures, factor transformations, as well as extensions and applications of the factor model. Scaling covers the laws of comparative and categorical judgment, goodness-of-fit tests, metric and nonmetric multidimensional scaling, and clustering methods.
Prerequisite: Psychology 523 or permission of instructor

0555 – Psychological Assessment I and II. 3 s.h.
A year-long course; surveys concepts of intelligence and teaches the administration, scoring, and interpretation of individually administered tests. The evaluation of learning disabilities and neuropsychological disorders is also covered. Surveys the diagnostic system of mental disorders. Teaches the administration, scoring, and interpretation of projective tests and other procedures used to identify and understand clinical dynamics.
Prerequisite: permission of instructor or enrollment in Clinical Ph.D. program

0621 – Seminar in Experimental Design 3 s.h.
Designed for the Ph.D. candidate in all content areas of the department. Emphasis on design problems (of which statistical methodology represents one aspect) as they relate to research in psychology. Includes group designs and individual designs.

0647 – Focused Analysis of Research Data 3 s.h.

An examination of focused methods of primary and secondary data analysis, taught within the conceptual framework of meta-analysis. Particular emphasis is given to the use of contrasts, indices of effect size, confidence intervals, simple graphical methods, etc., in confirmatory and exploratory data analysis.
Prerequisite: Psychology 522 and 524, or equivalent

0664 – Research Methods in Clinical Psychology 3 s.h.
Focuses on design issues and major methodological problems in research on such topics as psychotherapy outcome, characteristics of diagnostic groups, and stress in families. Particular attention is given to internal and external validity threats, advantages and disadvantages of assessment methods, principles of test construction, challenges and alternatives to traditional research methods, single subject designs, and approaches to integrating clinical research and practice.
Prerequisite: permission of instructor

0721 – Test Theory 3 s.h.

Classical test theory, modern test theory, and latent trait models.
Prerequisite: Psychology 523

0722 – Instrument Construction 3 s.h.
Reliability and validity, writing and editing of items, scoring and weighting procedures, item selection methods. Instrument construction, including the use of ANOVA, multiple regression, and factor analysis.
Prerequisite: Psychology 523

0822 – Core Course in Psychological Research Methods 3 s.h.
A general introduction to the scientific method as it is used in psychological research with human participants, including ethics, hypothesis testing, reliability and validity, sampling, research design, artifacts, observational and self-report methods, and selected issues in data analysis.

0975 – Research Problems 3 s.h.

Intended to meet the needs of Ph.D. students who desire to carry on an individual investigation.
Prerequisite: permission of instructor; limited to Ph.D. students

Sociology

0433 – Statistical Methods in Sociology 3 s.h.
An introduction to statistical analysis for students with limited statistical backgrounds. Includes univariate and bivariate description and selected inferential techniques.

0561 – Introduction to Computers and Descriptive Statistics 1 s.h.

Introduces students to micro-computer word processing, data base, spreadsheet, and graphing programs. Accessing and using a mainframe computer to generate descriptive statistics.

0563 – Inferential and Multivariate Statistics 3 s.h.
Covers inductive statistics including probability and sampling, as well as multivariate contingency tables, analysis of variance, correlation, and regression. Laboratory period required.
Prerequisite: Sociology 561, one semester of introductory statistics, or permission of instructor

0564 – Data Analysis 3 s.h.
This course will take students from the development of a research problem through operationalization of theoretical concepts, data analysis to completed papers. Students will be provided appropriate data sets.
Prerequisite: Sociology 563


Statistics (Fox School of Business and Management)

0402 – Statistical Analysis 3 s.h.
Descriptive statistics, probability distributions, estimation and testing problems involving one or two populations, multiple regression analysis using statistical software, analysis of variance, analysis of contingency tables.

0403 – Introduction to Biostatistics 3 s.h.
Topics cover methods and concepts of Statistics 402, with special emphasis on applications in health and biological sciences. May be used to satisfy M.B.A. and M.S. requirement for Stat. 402.

0478 – Statistics for Experimenters 3 s.h.

Basic statistics for students studying a laboratory science. Data summarization, introduction to probability, probability distributions, estimation, tests of hypotheses, laboratory quality control, survey design and clinical trials, analysis of count data, principles of analysis of variance, and regression analysis. Students are encouraged to register for an optional one-credit statistical computing laboratory in which the MINITAB statistical software package will be used to explore and analyze data. Note: You must complete the 400-level core for all M.B.A./M.S. programs before taking any 500-level courses.

0501 – Probability and Statistics Theory I. 3 s.h.
Topics include basic probability theory and combinatorial problems, generating functions, random variables, probability distributions, law of large numbers, and limit theorems.
Prerequisite: calculus

0502 – Probability and Statistics Theory II 3 s.h.

A comprehensive development of the theory of statistics, including standard distributions, sampling distributions, general theory of estimation, testing of hypotheses, statistical decision theory, order statistics, linear statistical estimation.
Prerequisite: calculus and Stat. 501

0503 – Statistical Methods I. 3 s.h.
Introduction to frequently used methods. Includes probability, estimation, tests of hypothesis, survey sampling, linear regression data analysis, statistical computer packages.
Prerequisite: Stat. 402 or permission of instructor

0504 – Statistical Methods II. 3 s.h.
Introduction to multiple regression, analysis of variance, design of experiments, robust techniques, analysis of covariance, nonparametric analysis, and multivariate analysis. Statistical packages such as SAS and MINITAB are used.
Prerequisite: Stat. 503

0509 – Introduction to Stochastic Models 3 s.h.
Applicants of probability and simple stochastic processes, including Markov Chains and Poisson processes, to problems such as queueing, inventory, and reliability.

0510 – Measure Theory and Probability 3 s.h.

Introduction to measure theory, probability theory, Lebesque integral, conditional probability.
Prerequisite: advanced calculus

0511 – Sampling Theory 3 s.h.
Theory and application of sampling from finite populations. Topics include random, stratified, cluster, and systematic sampling; estimation of means and variances; optimal allocation of resources; problems of nonsampling errors; and ratio and regression estimation.
Prerequisite: Stat. 503 or permission of instructor

0515 – Matrix Theory for Statistics 3 s.h.
Vector spaces; linear independence of vectors and basis; matrices and algebraic operations on matrices; determinants; rank of a matrix; inverse of nonsingular matrices; linear equations and their solutions; generalized inverse of a matrix; eigenvalues and vectors of matrices; diagonalization theorems; quadratic forms and their reduction to sum of squares; Jacobians.
Prerequisite: undergraduate linear algebra or permission of instructor

0518 – Time Series Analysis I. 3 s.h.
Theory and application of time series models illustrated with forecasting problems. Considers spectrum analysis, autocorrelation analysis, stationary and nonstationary linear processes, ARMA and ARIMA models, seasonal time series and related materials.
Prerequisite: Stat. 502 or permission of instructor

0521 – Linear Models I 3 s.h.
Theory and analysis of the overparameterized and cell means forms of the linear statistical model that underlies designed experiments. Emphasis on the “messy data” situations having disproportionate cell sizes, empty cells and disconnectedness. Use of SAS-GLM software to analyze about 10 real data sets.
Prerequisite: Stat. 502 and Stat. 515 or permission of instructor.

0522 – Design of Experiments I. 3 s.h.
Principles of experimental designs, completely randomized designs, multiple comparisons, randomized block design, latin square design, missing value problems, analysis of covariance, and factorial experiments.
Prerequisites: Stat. 504 or permission of instructor

0531 – Applied Linear Regression 3 s.h.

Simple linear regression. Multiple regression. Weighted least squares, generalized least squares. Polynomial regression. Dummy variables, comparing regression lines. Subset selection procedures. Residual analysis, influential observations. Prediction.
Prerequisite: Stat. 504

0533 – Applied Multivariate Analysis I. 3 s.h.
Multivariate normal distribution; marginal and conditional distributions; estimation of population mean vector and dispersion matrix; correlation, partial correlation, and multiple correlation coefficients; Hotelling’s T2; MANOVA; discriminant function; repeated measurements analysis; principal components and canonical correlation; factor analysis; and multidimensional scaling.
Prerequisites: Stat. 504, 515, or permission of instructor

0550 – Probability and Statistics Theory for Business Applications 3 s.h.
Topics covered: probability, density functions, moments, transformation of variables, common distributions, estimation and tests of hypothesis with emphasis on business applications.
Prerequisite: calculus

0551 – Regression, Time Series, and Forecasting for Business Applications 3 s.h.
Application oriented. Standard statistical packages such as SAS, MINITAB, or SPSS are introduced and extensively used in the course. Topics include regression analysis, time series analysis, and forecasting.
Prerequisite: Stat. 402 or permission of instructor

0554 – Survey Techniques for Business Applications 3 s.h.
Application oriented. A course dealing with statistical and nonstatistical aspects of organizing a sample survey. Included are discussions of objectives, measurement, sample selection, pilot testing, data collection, data editing summarization and interpretation of results in addition to describing the various sampling schemes. Students may be required to plan and execute a survey.
Prerequisite: Stat. 402 or permission of instructor

0555 – Statistical Methods for Business Research 1 3 s.h.
Doctoral level, one-year sequence of courses for those students in Business Administration program. Covers a variety of advanced statistical methods useful in business research, including the logistic regression, path analysis, factor analysis, discriminant analysis, log-linear models, and clustering techniques. Emphasis on rationales, assumptions, techniques, and interpretation of results from computer packages. Relevant mathematical results will be presented, but proofs or abstract arguments shall be avoided. The students are required to work with SAS (or equivalent packages) throughout the year. Experience in working with large databases will be acquired through an arrangement of working with each student’s own field adviser.
Prerequisites: Statistics 402, CIS 401, or equivalent. Students must pass a placement examination to enter the course.

0556 – Statistical Methods for Business Research 2 3 s.h.
Doctoral level, one-year sequence of courses for those students in Business Administration program. Covers a variety of advanced statistical methods useful in business research, including the logistic regression, path analysis, factor analysis, discriminant analysis, log-linear models, and clustering techniques. Emphasis on rationales, assumptions, techniques, and interpretation of results from computer packages. Relevant mathematical results will be presented, but proofs or abstract arguments shall be avoided. The students are required to work with SAS (or equivalent packages) throughout the year. Experience in working with large databases will be acquired through an arrangement of working with each student’s own field adviser.
Prerequisites: Statistics 402, CIS 401, or equivalent. Students must pass a placement examination to enter the course.

0571 – Nonparametric Methods 3 s.h.
A thorough course in nonparametric statistics. Estimation and testing of hypothesis when the function form of the population distribution function is not completely specified.
Prerequisite: Stat. 502 or permission of instructor

0572 – Categorical Data Analysis 3 s.h.
Sampling models for discrete data; Fisher’s exact test; Gart’s test for residual effects; measures of association; log-linear models; iterative proportion fitting; collapsing multidimensional tables; conditional independence, and logistic regression.
Prerequisite: Stat. 502 or permission of instructor

0575 – Clinical Trials 3 s.h.
Introduction to the special problems associated with medical trials on humans. Topics include the debate concerning randomization, use of historical data, ethics of experimentation, decision theoretic approach to clinical trials, and applications of sequential and adaptive sampling techniques. Discussion of research articles.
Prerequisite: Stat. 502 or permission of instructor

0580 – Pharmaceutical Statistics I. 3 s.h.
Introduction to certain statistical problems associated with pharmaceutical drug development. Topics include the bioequivalence problems, population PK/PD modeling, and analysis of combination drug trials. Research articles of current interest will be discussed.
Prerequisites: Stat. 501-502, or equivalent

0585 – Exploratory Data Analysis I. 3 s.h.
Acquaints the student with applications of statistical theory. Techniques and solutions for a broad spectrum of real-world problems. Statistical computing emphasized.
Prerequisite: Stat. 502 or 504 or permission of instructor

0598 – Independent Study 1-6 s.h.

Special study in a particular aspect of statistics under the direct supervision of an appropriate graduate faculty member. No more than six semester hours of independent study may be counted toward degree requirements.
Prerequisite: approval of the department

0599 – Independent Study 1-6 s.h.
Special study in a particular aspect of statistics under the direct supervision of an appropriate graduate faculty member. No more than six semester hours of independent study may be counted toward degree requirements.
Prerequisite: approval of the department

0601 – Advanced Statistical Inference I. 3 s.h.
Random variables, inequalities, convergence types, Central Limit Theorem, integration and expectation, conditional probability and expectation, UMVU estimator, Bayes and Minimax estimators.
Prerequisite: Stat. 502

0602 – Advanced Statistical Inference II 3 s.h.
Hypothesis testing and confidence sets, Neyman-Pearson Lemma, similar and unbiased tests, likelihood ratio tests.
Prerequisite: Stat. 601

0618 – Time Series Analysis II. 3 s.h.
Advanced topics on modern time series analysis from the time domain and/or frequency domain perspective. Emphasis will be placed on the analysis of multiple time series.
Prerequisite: Stat. 518 or permission of instructor

0621 – Linear Models II. 3 s.h.
Continuation of Stat. 521, principally devoted to analysis of mixed models and inference concerning variance components. Topics covered include calculation of expected mean squares, estimation by Henderson’s Methods, ML, REML, MINQUE, MIVQUE. Dispersion Mean Model. Computational algorithms and software.
Prerequisite: Stat. 521 or permission of instructor

0622 – Design of Experiments II. 3 s.h.

Covers symmetric and asymmetrical factorial experiments, fractional replication, split plot design, balanced and partially balanced incomplete block designs without and with recovery of interblock information and lattice designs.
Prerequisite: Stat. 522 or permission of instructor

0633 – Multivariate Analysis II. 3 s.h.
A study of specialized topics in multivariate analysis.
Prerequisites: Stat. 502 and 533 or permission of instructor

0662 – Biometric Methods 3 s.h.
Presents the theory of biometry and explores its many applications. Topics are taken from clinical trials, bioassay and survival analysis. Topics discussed include the importance of randomization, parallel assays, censored data, proportional hazard models, and rank tests.
Prerequisite: Stat. 502 or permission of instructor

0701 – Seminar in New Topics in Statistics 3 s.h. each
Special topics in Statistics
Prerequisite: permission of instructor

0702 – Seminar in New Topics in Statistics 3 s.h. each

Special topics in Statistics
Prerequisite: permission of instructor

0799 – Directed Study in Statistics Variable Credit

Preparation for preliminary examinations.
Prerequisite: departmental permission

0800 – Quantitative Business Methods 3 s.h.
Introduces descriptive statistical tools which are commonly used in business and decision making. Basic probability concepts are covered and are employed using statistical inference methods. Estimation, testing of hypotheses and applications. Statistical package “Minitab” will be used as a tool for not only computations but also for understanding statistical concepts. The course will be rigorous in statistical concepts.

0802 – Managerial Statistics 3 s.h.
Study advanced statistical techniques for managerial decision making, including the theory and application of regression, time series and forecasting, categorical data analysis, and quality improvement techniques. Statistical packages, business data sets, and case studies are used