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SUMMARY:Psychometrics
DESCRIPTION:IN PERSON – 5-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview:\nWe’re all looking to measure something\, but we first need to understand what how that measurement process works! Psychometrics is the underlying science behind all of your tests and measurements used to evaluate psychological attributes\, whether those are ability\, aptitude\, achievement\, attitudes\, interests\, personality\, cognitive functioning\, and mental health. This course will introduce you to the measurement and statistical concepts that are central to psychometrics\, as well as the psychometric fundamentals of factor analysis and Item Response Theory. \nSeminar Topics:\n\nMeasurement and statistical concepts specific to psychometrics\nThe latent variable modeling perspective\nReliability – classical and modern approaches\nValidity – conceptual and statistical aspects\nFactor analysis – exploratory and confirmatory\nInstrument development & validation process\nMeasurement bias & strategies to address bias (e.g.\, MIMIC models)\nMulti-group analyses & measurement invariance testing\nMissing data\nItem Response Theory: 1PL (Rasch) & 2PL & 3PL models\nHow to use MPlus for psychometric analyses\n\nSeminar Description:\nPsychometrics is the science of how we measure things\, such as the psychological attributes of people. These psychological attributes include abilities\, aptitudes\, achievement\, attitudes\, interests\, personality traits\, cognitive functioning\, and mental health. Psychometrics\, theoretically-informed and precise measurement\, is an essential component of many of the things we hold dear. Scientific advances (e.g.\, can I make a claim that I am measuring what I purport to measure?)\, educational placement decisions (e.g.\, should a child be placed into a gifted program?)\, statistical power (e.g.\, is my measure precise enough to suggest that X predicts Y?)\, and other key considerations are all affected by psychometrics. This seminar emphasizes the conceptual understanding of and the application of psychometric principles. \n\nInstructor: Larry Price\, Ph.D.\n \nLarry Price\, Ph.d. is a Professor of Psychometrics & Statistics and was previously Director of the Office of Data Analytics & Methodology at Texas State University for 13 years. 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 interests include 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. Before 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. \nRead More\n\n\n\nAPA Continuing Education Credits:\n \nThis course offers 24 hours of 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. \nSeminar Includes:\nMaterials\, downloads\, recorded course video viewable for up to one year. \n\n\n\nLearning Objectives\nLearning Objectives:\nAfter engaging in course lectures and discussions as well as completing the hands-on practice activities with real data\, participants will be able to:\n\nApply a latent variable perspective to psychometrics\nExamine how psychometrics fits into the scientific enterprise and educational policy\nIdentify construct validity as the “one ring to rule them all” and where other dimensions of validity fit in\nExamine why Cronbach’s Alpha is biased (a recent article was titled “Thanks Coefficient Alpha\, we’ll take it from here”)\nUnderstand why other reliability estimates (e.g.\, mean inter-item correlations\, Coefficient H\, Omega total) are preferred\, and how to calculate and interpret them\nCode\, analyze\, and interpret exploratory factor analyses (EFA)\nCode\, analyze\, and interpret confirmatory factor analyses (CFA)\nSynthesize the preceding ideas to understand the instrument development & validation process\nUnderstand the difference between “true score” bias and item bias\nCode\, analyze\, and interpret Multiple Indicator and Multiple Causes (MIMIC) models\nCode\, analyze\, and interpret measurement invariance analyses\nUnderstand the differences between configural\, metric & scalar invariance\nUnderstand why Item Response Theory (IRT) is useful to assess ability & shorten scales\nCode\, analyze\, and interpret 1PL\, 2PL\, 3PL IRT models\nUse figures to communicate the psychometric properties of measures\n\nSeminar Prerequisites\nSeminar Prerequisites:\nRequired: \n\nIntermediate proficiency in basic statistical theory as would be gained in a 1st year graduate course.\n\nNot required but advantageous: \n\nLimited experience (e.g.\, graduate-level course) with classical measurement theory and concepts.\n\nNo level of proficiency beyond basic awareness is assumed for skills related to: \n\nAdvanced mathematical or statistical topics such as matrix algebra.\n\nSoftware and Computer Support\nSoftware and Computer Support:\nIt is important to bring a notebook computer to the seminar\, so you can run the programs and see how their output corresponds with the presentation material.  Please install the software before arriving at the seminar. We’ll be estimating the examples in R language using the packages rstan and brms. The latter will be the main package in this course. You can read more about brms package: https://mc-stan.org/users/interfaces/brms. \nSeminar Audience\nSeminar Audience:\nThe intended audience is advanced students\, faculty\, and other researchers\, from all disciplines\, who want a ground-floor introduction to doing Psychometrics data analysis. \nSeminar Files\nSeminar Files\nBelow are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer before the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it. \nInstructor will provide password on first day of seminar:\nClick Here to Access Bayesian Data Analysis Seminar Files \nAll statistical software used at Stats Camp will be available\, free to participants\, on our SMORS (statistical modeling on remote servers) system for the duration of camp.Syllabus\n  \n\n\n\nSummer Stats Camp 2024: Psychometrics\n\n\n\nMonday\n June 10\, 2024\n\n\n9:00-9:30\nWelcome and introduction.\n\n\n9:30-10:30\nA latent variable modeling perspective on psychometrics.\n\n\n10:30-10:45\nRest Break\n\n\n10:45-12:30\nCoefficient Alpha: Widely known\, poorly understood\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nIntro to MPlus code. \nBringing latent variables into focus: Exploratory Factor Analyses (EFA).\n\n\n3:00-3:15\nRest Break\n\n\n3:15-5:00\nConstruct validity: “One ring to rule them all”\n\n\nTuesday\n June 11\, 2024\n\n\n9:00-10:45\nTesting hypothesized factor structures: Confirmatory Factor Analyses (CFA)\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nCFA: Hands-on practice & statistical power\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nBias & Fairness in Psychometrics: Multiple Indicators and Multiple Causes (MIMIC) models\n\n\n3:00-3:15\nRest Break\n\n\n3:15-4:00\nReview\, integration & catch-up time\n\n\n4:00-5:00\nIndividual Consultations\n\n\nWednesday\n June 12\, 2024\n\n\n9:00-10:30\nMulti-group models & Measurement Invariance\n\n\n10:30-10:45\nRest Break\n\n\n10:45-12:30\nMeasurement Invariance (continued)\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nBest practices: Instrument development & validation\n\n\n3:00-3:15\nRest Break\n\n\n3:15-4:00\nReview\, integration & catch-up time\n\n\n4:00-5:00\nIndividual Consultations\n\n\nThursday\n June 13\, 2024\n\n\n9:00-10:45\nIntroduction to Item Response Theory (IRT)\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nIRT: Discrimination (1PL)\, Difficulty (2PL) & Guessing (3PL) models\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nIRT: The Graded Response Model\n\n\n3:00-3:15\nRest Break\n\n\n3:15-4:00\nReview\, integration & catch-up time\n\n\n4:00-5:00\nIndividual Consultations\n\n\nFriday\n June 14\, 2024\n\n\n9:00-10:30\nMissing data: Focus on the auxiliary variables strategy\n\n\n10:30-10:45\nRest Break\n\n\n10:45-12:00\nIndividual consultation\n\n\n12:00\nEnd of Workshop\n\n\n12:30-1:30\nRest Break\n\n\n\n  \nDownload Sample Slides and Preview Course Video\nPlease fill out and submit the form below to get instant access to sample course materials.
URL:https://www.statscamp.org/courses/psychometrics/
LOCATION:Embassy Suites – Albuquerque\, If you are unavailable to join in-person\, you can participate asynchronously by viewing the recorded course videos for up to 1 year.
CATEGORIES:Psychometrics,Summer Camp,Summer Camp 2
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