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Exploring Patterns of Personal Growth Initiative and Posttraumatic Stress: A Latent Profile Analysis
Shigemoto, Yuki; Robitschek, Christine – Journal of American College Health, 2018
Objective: This study examined the inconsistent relationship found between personal growth initiative (PGI) and posttraumatic stress symptoms (PTSS) by exploring potential subgroups. In addition, after identifying the subgroups, potential predictors of these subgroups were examined. Participants: Participants were 534 undergraduate students who…
Descriptors: Posttraumatic Stress Disorder, Symptoms (Individual Disorders), Undergraduate Students, Student Experience
van de Schoot, Rens; Kaplan, David; Denissen, Jaap; Asendorpf, Jens B.; Neyer, Franz J.; van Aken, Marcel A. G. – Child Development, 2014
Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In this study a gentle introduction to Bayesian analysis is provided. It is shown under what circumstances it is attractive to use Bayesian estimation, and how to interpret properly the results. First, the ingredients underlying Bayesian methods are…
Descriptors: Bayesian Statistics, Research Methodology, Prior Learning, Guidelines
Anikin, Vasiliy A. – International Journal of Training and Development, 2017
What factors best explain the low incidence of skills training in a late industrial society like Russia? This research undertakes a multilevel analysis of the role of occupational structure in the probability of training. The explanatory power of occupation-specific determinants and skills polarization are evaluated, using a representative 2012…
Descriptors: Foreign Countries, Incidence, Skill Development, Probability
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
Holden, Mark P.; Newcombe, Nora S.; Shipley, Thomas F. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Memories for spatial locations often show systematic errors toward the central value of the surrounding region. The Category Adjustment (CA) model suggests that this bias is due to a Bayesian combination of categorical and metric information, which offers an optimal solution under conditions of uncertainty (Huttenlocher, Hedges, & Duncan,…
Descriptors: Spatial Ability, Memory, Models, Task Analysis
Kim, Sooyeon; Moses, Tim; Yoo, Hanwook – Journal of Educational Measurement, 2015
This inquiry is an investigation of item response theory (IRT) proficiency estimators' accuracy under multistage testing (MST). We chose a two-stage MST design that includes four modules (one at Stage 1, three at Stage 2) and three difficulty paths (low, middle, high). We assembled various two-stage MST panels (i.e., forms) by manipulating two…
Descriptors: Comparative Analysis, Item Response Theory, Computation, Accuracy
Depaoli, Sarah; Clifton, James P.; Cobb, Patrice R. – Journal of Educational and Behavioral Statistics, 2016
A review of the software Just Another Gibbs Sampler (JAGS) is provided. We cover aspects related to history and development and the elements a user needs to know to get started with the program, including (a) definition of the data, (b) definition of the model, (c) compilation of the model, and (d) initialization of the model. An example using a…
Descriptors: Monte Carlo Methods, Markov Processes, Computer Software, Models
Oh, Hanna; Beck, Jeffrey M.; Zhu, Pingping; Sommer, Marc A.; Ferrari, Silvia; Egner, Tobias – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Much of our real-life decision making is bounded by uncertain information, limitations in cognitive resources, and a lack of time to allocate to the decision process. It is thought that humans overcome these limitations through "satisficing," fast but "good-enough" heuristic decision making that prioritizes some sources of…
Descriptors: Decision Making, Cues, Cognitive Processes, Time
Kruijne, Wouter; Meeter, Martijn – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Studies on "intertrial priming" have shown that in visual search experiments, the preceding trial automatically affects search performance: facilitating it when the target features repeat and giving rise to switch costs when they change--so-called (short-term) intertrial priming. These effects also occur at longer time scales: When 1 of…
Descriptors: Priming, Color, Bias, Long Term Memory
Ustav, Sirje; Venesaar, Urve – Education & Training, 2018
Purpose: The purpose of this paper is to explore the concept of metacompetencies in entrepreneurship education through students' expressions of metacompetencies in their learning processes, aiming to provide assistance embedding metacompetencies in entrepreneurship education. Design/methodology/approach: The empirical study is based on qualitative…
Descriptors: Entrepreneurship, Teaching Methods, Foreign Countries, Phenomenology
Rozell, Timothy G.; Johnson, Jessica; Sexten, Andrea; Rhodes, Ashley E. – Journal of College Science Teaching, 2017
Students in a junior- and senior-level Anatomy and Physiology course have the opportunity to correct missed exam questions ("regrade") and earn up to half of the original points missed. The three objectives of this study were to determine if: (a) performance on the regrade assignment was correlated with scores on subsequent exams, (b)…
Descriptors: Physiology, Scores, Grades (Scholastic), Exit Examinations
Ting, Mu Yu – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Using the capabilities of expert knowledge structures, the researcher prepared test questions on the university calculus topic of "finding the area by integration." The quiz is divided into two types of multiple choice items (one out of four and one out of many). After the calculus course was taught and tested, the results revealed that…
Descriptors: Calculus, Mathematics Instruction, College Mathematics, Multiple Choice Tests
Chen, Ping – Journal of Educational and Behavioral Statistics, 2017
Calibration of new items online has been an important topic in item replenishment for multidimensional computerized adaptive testing (MCAT). Several online calibration methods have been proposed for MCAT, such as multidimensional "one expectation-maximization (EM) cycle" (M-OEM) and multidimensional "multiple EM cycles"…
Descriptors: Test Items, Item Response Theory, Test Construction, Adaptive Testing
DiCerbo, Kristen E.; Xu, Yuning; Levy, Roy; Lai, Emily; Holland, Laura – Educational Assessment, 2017
Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students' processes as they progress through learning…
Descriptors: Models, Cognitive Processes, Elementary School Students, Grade 3
Skinner, Benjamin Thomas – ProQuest LLC, 2017
In this dissertation I investigate postsecondary online education with three research questions: 1. What is the connection between broadband access and the number of students who attempt online coursework? 2. What is the effect of online course delivery on course persistence and, conditional on completion, the likelihood of passing the course? 3.…
Descriptors: Bayesian Statistics, Online Courses, Enrollment, Conventional Instruction

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