Unlock your potential with our immersive 4-day online psychometric training! Gain proficiency in applying psychometrics and elevate your skills to new heights. Ideal for those with a solid foundation in the material covered in a two-semester graduate-level social science statistics course sequence. Propel your career forward – enroll now and become a master in psychometrics!
LIVESTREAM / Asynchronous – 4-day Statistics Psychometric Training Online Course
Cutting-Edge Network Psychometric Training
Master the art of psychometrics in just 4 days with our comprehensive online training course! This program is designed to equip you with proficiency in applying psychometric principles. Prior familiarity with the content covered in a two-semester graduate-level social science statistics course is recommended for participants aiming to make the most of this intensive learning experience.
|Welcome and introductions
|Network science and psychometrics – definition, data generation processes, relationship to classical & modern psychometrics, graphical models, empirical/theoretical network systems, association and causation, machine learning techniques and algorithms
|Introduction to R Studio and BayesiaLab software
|Computer exercises in R – creating network models
|Defining and interpreting structure and quality of network models, unsupervised and supervised learning in graphical models, undirected and directed graphical models, interpretation of network descriptive measures, software considerations
|Exercise on graph construction, independence, conditional dependence in graph theory, model selection, workflow in conducting network models
|Introduction to Pairwise Markov Random Fields (PMRFs): Graphical Models for Binary Data (GMBDs); Gaussian Graphical Models (GGMs) for continuous data; Mixed Graphical Models (MGMs) for continuous, categorical and count data
|Computer exercises – IGMs, GGMs, MGMs
|Multiple group network modeling – single sample and multiple sample stability and replication
|Probabilistic structural equation modeling (pSEM) for factor and principal component analysis. Comparison to traditional approaches to PCA, FA, & SEM
|Computer exercises – creating and interpreting pSEMs
|Graphical Models for Binary Data and relationship to Item Response Theory
|Longitudinal network analysis – design and problem selection/description, contemporaneous and temporal measurement, vector auto-regression, model estimation and interpretation, group-level and single-subject modeling
|Individual Consultations (optional)
|Continuation of longitudinal network analysis techniques
|Network modeling and causal inference, network models in experimental designs: clinical trials example, structural causal models (SCMs)
|Continuation of network modeling and causal inference, network models in experimental designs: clinical trials example, structural causal models (SCMs)
Measurement and statistical concepts specific to psychometric training, Scaling, scaling models & scale development – stimulus, response and subject centered, Validity – conceptual and statistical aspects necessary for evidential arguments, Introduction to Factor analysis – traditional, IRT and SEM-based approaches/connections, Reliability – classical and modern approaches to estimation of score reliability, Introduction to Item Response Theory.
Psychometric Training Description:
Psychometrics is defined as the science of evaluating the characteristics of tests or other devices designed to measure psychological attributes of people. Tests are broadly defined as devices for measuring ability, aptitude, achievement, attitudes, interests, personality, cognitive functioning, and mental health. Application of psychometrics to psychology and social/behavioral science constitutes an organized effort to (a) properly use theory-based measurement procedures for the development of tests and other measurement instruments for inter- and intraindividual research designs and (b) incorporate current best practices for applying measurement theory, item/scale development, reliability estimation (classical and modern), factor analysis/IRT and establishing statistical evidence of score validity through a unified approach. advance knowledge in psychological and sensory processes. Participants will receive an electronic copy of all course materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the course.
Instructor: Larry Price, Ph.D.
Larry Price, Ph.d. is a Professor of Psychometrics & Statistics and Director of the Office of Data Analytics & Methodology at Texas State University. Between 1999 and 2002, Dr. Price was employed at The Psychological Corporation in San Antonio as a Senior … Psychometrician/Statistician where his work focused on improving the psychometric properties of the Wechsler Scales of Intelligence Memory (e.g., WISC-III, WISC-IV, WAIS-III, WMS-III, and WPPSI-III), and Achievement (WIAT-II) and other psychological measures such as the Beck Depression Inventory (BDI) and Clinical Evaluation of Language Fundamentals (CELF-IV). His research interest includes the theoretical development and testing of Bayesian and non-Bayesian psychometric models in psychological and neuropsychological research (neuroimaging network analysis), theoretical development, testing, and refinement of classical and modern psychometric methods in the behavioral sciences, development of dynamic multivariate time series models for the psychological, social and neurosciences. Prior to working at Psychological Corporation, he worked at Emory University from 1986 to 1999 as a Biostatistician and Psychometrician in the School of Medicine. Funding mechanisms for Dr. Price’s work include NIH, NSF, DOE, and private organizations.
APA Continuing Education Credits:
Please contact us for exact # of credit hours for continuing education credits. Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content.
Psychometric Training Course Includes:
Materials, downloads, recorded course video viewable for up to one year.