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Liu, Jin – Journal of Educational and Behavioral Statistics, 2022
Longitudinal data analysis has been widely employed to examine between-individual differences in within-individual changes. One challenge of such analyses is that the rate-of-change is only available indirectly when change patterns are nonlinear with respect to time. Latent change score models (LCSMs), which can be employed to investigate the…
Descriptors: Longitudinal Studies, Individual Differences, Scores, Models
Conway, Andrew R. A.; Kovacs, Kristof; Hao, Han; Rosales, Kevin P.; Snijder, Jean-Paul – Journal of Intelligence, 2021
Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are…
Descriptors: Individual Differences, Attention, Intelligence, Executive Function
Shah, Azmat Ali; Uddin, Miraj; Shah, Raza Ullah; Adeel, Muhammad – Interchange: A Quarterly Review of Education, 2022
In research paper we examine that teacher evaluation is conducted to improve the teaching effectiveness of the faculty. However, the evaluation itself has to be effective, which is possible when two issues are first addressed quite skillfully. First is the factors (or criteria) of successful teacher and teaching. And second is 'who will evaluate?'…
Descriptors: Goodness of Fit, Academic Achievement, Teacher Evaluation, Instructional Effectiveness
Capuano, Nicola; Loia, Vincenzo; Orciuoli, Francesco – IEEE Transactions on Learning Technologies, 2017
Massive Open Online Courses (MOOCs) are becoming an increasingly popular choice for education but, to reach their full extent, they require the resolution of new issues like assessing students at scale. A feasible approach to tackle this problem is peer assessment, in which students also play the role of assessor for assignments submitted by…
Descriptors: Participative Decision Making, Models, Peer Evaluation, Online Courses
Priesmeyer, H. Richard; Mudge, Suzanne D.; Ward, Stephanie G. – Journal of Learning in Higher Education, 2016
This study measured the emotional responses of students to common service learning activities. Two hypotheses focused on (1) expected changes in the mean emotion scores and (2) expected differences in individual responses. Results showed significant increases in Surprise, Anxiety and Distress and individual differences in Contempt, Disgust and…
Descriptors: Emotional Response, Service Learning, Scores, Individual Differences
Berthier, Neil E.; Boucher, Kelsea; Weisner, Nina – Infant and Child Development, 2015
Children's performance on cognitive tasks is often described in categorical terms in that a child is described as either passing or failing a test, or knowing or not knowing some concept. We used binomial mixture models to determine whether individual children could be classified as passing or failing two search tasks, the DeLoache model room…
Descriptors: Individual Differences, Toddlers, Investigations, Models
Karremans, Johan C.; Dotsch, Ron; Corneille, Olivier – Cognition, 2011
Previous research has demonstrated that, presumably as a way to protect one's current romantic relationship, individuals involved in a heterosexual romantic relationship tend to give lower attractiveness ratings to attractive opposite-sex others as compared to uninvolved individuals (i.e., the "derogation effect"). The present study importantly…
Descriptors: Evaluation Methods, Interpersonal Attraction, Memory, Models
Eriksson, Kimmo; Simpson, Brent – Cognitive Psychology, 2011
This paper introduces a new model to explain perceptions of unfairness in resource allocations between multiple recipients. The model yields several novel predictions, all confirmed in a series of new empirical tests. For instance, while much prior research focuses on the differences between the judge's share and others' shares, we argue that…
Descriptors: Resource Allocation, Models, Perception, Individual Differences
Wang, Lijuan; Hamaker, Ellen; Bergeman, C. S. – Psychological Methods, 2012
Intra-individual variability over a short period of time may contain important information about how individuals differ from each other. In this article we begin by discussing diverse indicators for quantifying intra-individual variability and indicate their advantages and disadvantages. Then we propose an alternative method that models…
Descriptors: Evaluation Methods, Data Analysis, Individual Differences, Models
Ferrando, Pere J. – Applied Psychological Measurement, 2011
Models for measuring individual response precision have been proposed for binary and graded responses. However, more continuous formats are quite common in personality measurement and are usually analyzed with the linear factor analysis model. This study extends the general Gaussian person-fluctuation model to the continuous-response case and…
Descriptors: Factor Analysis, Models, Individual Differences, Responses
Holdsworth, Louise; Haw, John; Hing, Nerilee – International Journal of Mental Health and Addiction, 2012
Two qualitative studies were undertaken to identify the prevalent comorbid mental disorders in treatment seeking problem gamblers and to also identify the temporal sequencing of the disorders. A forum with problem gambling counsellors and interviews with 24 mental health experts were undertaken. There was general agreement that the most commonly…
Descriptors: Qualitative Research, Anxiety Disorders, Counseling Techniques, Personality Problems
van der Maas, Han L. J.; Molenaar, Dylan; Maris, Gunter; Kievit, Rogier A.; Borsboom, Denny – Psychological Review, 2011
This article analyzes latent variable models from a cognitive psychology perspective. We start by discussing work by Tuerlinckx and De Boeck (2005), who proved that a diffusion model for 2-choice response processes entails a 2-parameter logistic item response theory (IRT) model for individual differences in the response data. Following this line…
Descriptors: Guessing (Tests), Psychometrics, Cognitive Psychology, Item Response Theory
Wolfensteller, Uta; von Cramon, D. Yves – Journal of Cognitive Neuroscience, 2010
The implementation of higher-order conditional motor behavior was investigated in the present fMRI study with the objective of answering three questions: (a) what happens in situations where one stimulus dimension alone does not sufficiently determine the correct response?; (b) does the implementation of second-order stimulus-response (S-R) rules…
Descriptors: Brain, Cognitive Processes, Individual Differences, Behavior
Willoughby, Michael T.; Wirth, R. J.; Blair, Clancy B. – Journal of Experimental Child Psychology, 2011
This study demonstrates the merits of evaluating a newly developed battery of executive function tasks, designed for use in early childhood, from the perspective of item response theory (IRT). The battery was included in the 48-month assessment of the Family Life Project, a prospective longitudinal study of 1292 children oversampled from…
Descriptors: Family Life, Young Children, Item Response Theory, Evaluation Methods
Wiers, Reinout W.; Stacy, Alan W. – Psychological Bulletin, 2010
Moss and Albery (2009) presented a dual-process model of the alcohol-behavior link, integrating alcohol expectancy and alcohol myopia theory. Their integrative theory rests on a number of assumptions including, first, that alcohol expectancies are associations that can be activated automatically by an alcohol-relevant context, and second, that…
Descriptors: Drinking, Individual Differences, Memory, Organizations (Groups)