QM M.ED. PROGRAM S H A N E H U T TO N A N D J O E R O D G E R S - - PowerPoint PPT Presentation

qm m ed program
SMART_READER_LITE
LIVE PREVIEW

QM M.ED. PROGRAM S H A N E H U T TO N A N D J O E R O D G E R S - - PowerPoint PPT Presentation

QM M.ED. PROGRAM S H A N E H U T TO N A N D J O E R O D G E R S CURRICULUM 33-hour program Three required courses Statistical Inference Experimental Design Statistical Consulting One required hour of seminar


slide-1
SLIDE 1

QM M.ED. PROGRAM

S H A N E H U T TO N A N D J O E R O D G E R S

slide-2
SLIDE 2

CURRICULUM

  • 33-hour program
  • Three required courses

– Statistical Inference – Experimental Design – Statistical Consulting

  • One required hour of seminar activity
  • Two required hours of internship activity
  • Seven additional courses

– One of which may be a content course outside the Quantitative Methods program – One of which may be a Quantitative Methods course outside of the Psychology and Human Development Department.

slide-3
SLIDE 3

COURSES TYPICALLY OFFERED

  • PSY
  • GS 8867 Multivariate Analysis
  • PSY
  • GS 8870 Correlation and Regression
  • PSY
  • GS 8873 Structural Equation Modeling
  • PSY
  • GS 8850 Advanced SEM
  • PSY
  • GS 8876 Psychological Measurement
  • PSY
  • GS 8850 Exploratory and Graphical Data Analysis
  • PSY
  • GS 8850 Nonparametric Statistics
  • PSY
  • GS 8850 Survival Analysis
  • PSY
  • GS 8879 Factor Analysis
  • PSY
  • GS 8882 Multilevel Modeling
  • PSY
  • GS 8888 Latent growth Curve Modeling
  • PSY
  • GS 8885 Latent Class and Mixture Modeling
  • PSY
  • GS 8850 Applied Bayesian Analysis for Latent Variable Modeling
  • PSY
  • GS 8880 Introduction to Item Response Theory
  • PSY
  • GS 8881 Advanced Item Response Theory
slide-4
SLIDE 4

INTERNSHIP

  • Internship placement is based on skills and interests
  • The internship takes place in an applied research setting, such as

– Medical school research setting – State government agency – Testing company – School system

  • Requirements

– An 8-10 page research summary of your internship activity – Presentation in Quantitative Forum

slide-5
SLIDE 5

POSSIBLE SCHEDULE

  • 1st semester

– Statistical Inference – Correlation and Regression – Psychological Measurement

  • 2nd semester

– Experimental Design – Elective – Elective

  • 3rd semester

– Statistical Consulting – Elective – Elective

  • 4th semester

– Elective – Internship (2 hours) – Quantitative Forum (1 hour)

slide-6
SLIDE 6

FACULTY

  • Sun-Joo Cho (item response theory; generalized latent variable modeling; test development and

validation)

  • David Cole (structural equation modeling; mediation analysis; longitudinal methods; developmental

psychopathology)

  • Shane Hutton (survival analysis; innovative teaching practices)
  • David Lubinski (measurement; assessment; individual differences; intellectual talent development)
  • Kristopher Preacher (structural equation modeling; multilevel modeling; mediation and moderation)
  • Joseph Rodgers (general multivariate methods; exploratory/graphical data analysis; multidimensional

scaling and measurement; behavior genetics; adolescent development)

  • Sonya Sterba (latent variable models; longitudinal methods; mixture models; developmental

psychopathology)

  • Andrew Tomarken (categorical data analysis; generalized linear models; longitudinal methods; clinical

psychology)

  • Hao Wu (model evaluation; uncertainty quantification; robust and nonparametric methods; structural

equation modeling)

slide-7
SLIDE 7

CAREERS

  • Graduates of this program typically continue with doctoral studies in Quantitative Methods or

find employment in research and data analysis settings such as:

– Social/behavioral research laboratories – Public school systems – Medical school research – Testing companies – University research programs – Industrial research – Government research laboratories

slide-8
SLIDE 8

RECENT GRADUATES

  • Recent graduates with an M.Ed. in Quantitative Methods have gone on the following positions,

among others

– Health Policy Analyst, Vanderbilt Medical School – Neuroimaging T echnician, Washington University Medical School – Senior Data Analyst, Capital One Financial Services – Statistical Research Analyst, T ennessee Department of Health – Statistician/SAS Programmer, BWX T echnologies – Graduate Programs

  • Biostatistics,

Vanderbilt

  • Clinical Psychology,

Vanderbilt

  • Clinical Psychology, UCSD
  • Organizational Behavior and Human Resources Management, Georgia State
  • Quantitative/Psychometric Methods, Minnesota
  • Quantitative Methods, Maryland