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**Attention: The Higher Education, Special Populations & Exceptionalities, and Health Promotion & Behavioral Community Interventions tracks are sunsetted and will be discontinued after 2015.**

Department/Foundations Core (21 credit hours)

Students in the Measurement, Quantitative Methods, & Learning Sciences (MQM-LS) Ph.D. program complete seven courses that provide them a broad foundation in major theoretical and empirical traditions within their field of study. All seven of these courses are required for students in the MQM-LS Ph.D. program.

  • PHLS 8302 Research Methods in Psychological and Educational Research
  • PHLS 8319 Introduction to Inferential Statistics in Psychological/ and Educational Research
  • PHLS 8322 Intermediate Statistics in Psychological and Educational Research
  • PHLS 8324 Multivariate Analysis in Psychological and Educational Research
  • PHLS 8300 Advanced Educational and Psychological Measurement
  • PHLS 8350 Seminar in Educational Psychology
  • PHLS (course number TBD) Psychology of Learning in STEM

Program Area Core(21 credit hours)

Students in the Measurement, Quantitative Methods, & Learning Sciences (MQM-LS) Ph.D. program also complete seven courses that provide them the experience and skills necessary to design and conduct research in their field of study. Five of these courses are required specifically of each student in the MQM-LS Ph.D. program, and two additional courses (6 credit hours total) are selected from an approved list to fit with the students interests and career goals.

  • PHLS 8335 Seminar on Advanced Topics in Human Development (to be renamed to Topics in Adolescent Development)
  • PHLS 8342 Seminar in Learning Theory
  • PHLS (course number TBD) Educational Disparities and Social Inequality
  • PHLS 8321 Structural Equation Modeling in Psychological and Educational Research
  • PHLS 8328 Hierarchical Linear Modeling in Psychological and Educational Research
  • 6 additional credit hours in Research Methods, Measurement, and Statistics

Independent Research Experiences (9 credit hours)

Students in the Measurement, Quantitative Methods, & Learning Sciences (MQM-LS) Ph.D. program further complete at least two major research projects with faculty supervision and guidance.

  • PHLS 7398 Candidacy Research
  • PHLS 8399 Doctoral Dissertation

Specialized Electives (18 credit hours)

In addition to the courses listed above, students in the Measurement, Quantitative Methods, & Learning Sciences (MQM-LS) Ph.D. program complete at least six courses to build a specialization that reflects their individual interests and career objectives. Students can choose one, or a mix, of two specialization areas:For more information on Specialized electives, please see the degree plan listed below.

  1. Measurement and Quantitative Methods: Focus is on advanced statistics, measurement, and research methods. Students complete elective coursework in areas such as missing data analysis, power analysis, Bayesian statistics, mediation and moderation analysis, meta-analysis, complex survey methods, program evaluation, advanced causal inference analysis, and advanced item-response theory (IRT) models. For more information on specialization electives in this area, see sample degree plan B in the MQM-LS Ph.D. Program Handbook.
  2. Learning Sciences: Focus is on individuals and how their learning, motivational, cognitive, and related processes develop across the lifespan. Students complete elective coursework in areas such as cognitive, social, and emotional development, motivation, and self-regulated learning. For more information on specialization electives in this area, see sample degree plan A in the MQM-LS Ph.D. Program Handbook.

Ultimately, there is great flexibility in the specific courses that can be used to satisfy this requirement. Students select the most appropriate courses for their needs in consultation with their advisor. In every case, students put together a set of courses that allows them to develop an expertise in an important specialization area, and gives them the analytical, statistical, methodological skills necessary to conduct research and address important theoretical and practical issues within the field.

Since degree plans change periodically, students will follow the degree plan that is in place at the time in which they complete an official, approved degree plan. The most current sample degree plan for the Ph. D. in Measurement, Quantitative Methods, & Learning Sciences is shown in our program brochure.

More information about courses can be found in the University of Houston Graduate Course Catalog.