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Kieftenbeld, Vincent; Natesan, Prathiba – Applied Psychological Measurement, 2012
Markov chain Monte Carlo (MCMC) methods enable a fully Bayesian approach to parameter estimation of item response models. In this simulation study, the authors compared the recovery of graded response model parameters using marginal maximum likelihood (MML) and Gibbs sampling (MCMC) under various latent trait distributions, test lengths, and…
Descriptors: Test Length, Markov Processes, Item Response Theory, Monte Carlo Methods
Jirout, Jamie; Klahr, David – Developmental Review, 2012
Although curiosity is an undeniably important aspect of children's cognitive development, a universally accepted operational definition of children's curiosity does not exist. Almost all of the research on measuring curiosity has focused on adults, and has used predominately questionnaire-type measures that are not appropriate for young children.…
Descriptors: Personality Traits, Preschool Children, Cognitive Development, Scientific Attitudes
Salsberg, Jon; Seller, Robbyn; Shea, Laura; Macaulay, Ann C. – Journal of Higher Education Outreach and Engagement, 2012
University-based researchers are finding they need a new set of skills to collaborate meaningfully with non-academic research partners, and to compete for funding opportunities that require community and end-user partnerships. This article describes a needs assessment conducted to develop a participatory research faculty development workshop at…
Descriptors: Participatory Research, Needs Assessment, Foreign Countries, Faculty Development
Dave, Jayna M.; Evans, Alexandra E.; Condrasky, Marge D.; Williams, Joel E. – Journal of Nutrition Education and Behavior, 2012
Objective: To develop and validate measures of parental social support to increase their child's fruit and vegetable (FV) consumption. Design: Cross-sectional study design. Setting: School and home. Participants: Two hundred three parents with at least 1 elementary school-aged child. Main Outcome Measure: Parents completed a questionnaire that…
Descriptors: Test Reliability, Factor Structure, Measures (Individuals), Factor Analysis
van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
Buttner, Melissa M.; O'Hara, Michael W.; Watson, David – Assessment, 2012
The "postpartum blues" is a mild, predictable mood disturbance occurring within the first several days following childbirth. Previous analyses of the "blues" symptom structure yielded inconclusive findings, making reliable assessment a significant methodological limitation. The current study aimed to explicate the symptom…
Descriptors: Females, Measures (Individuals), Factor Analysis, Psychometrics
Forde, David R.; Baron, Stephen W.; Scher, Christine D.; Stein, Murray B. – Journal of Interpersonal Violence, 2012
This study examines the psychometric properties of the Childhood Trauma Questionnaire short form (CTQ-SF) with street youth who have run away or been expelled from their homes (N = 397). Internal reliability coefficients for the five clinical scales ranged from 0.65 to 0.95. Confirmatory Factor Analysis (CFA) was used to test the five-factor…
Descriptors: Runaways, Incidence, Test Reliability, Factor Structure
Elwood, James A.; MacLean, George Robert – Computers & Education, 2012
With the ongoing development of technology and its ever increasing influence in the social and educational spheres, knowing whether users will embrace technological means is of considerable importance. This article looks at Willingness to Use Technology (WUT; MacLean & Elwood, 2009), an instrument developed to assess a potential technology…
Descriptors: Foreign Countries, Educational Technology, Psychometrics, Factor Analysis
Pierson, Eric E.; Kilmer, Lydia M.; Rothlisberg, Barbara A.; McIntosh, David E. – Journal of Psychoeducational Assessment, 2012
Schools often administer brief intelligence tests as the first step in the identification of students who are cognitively gifted. However, brief measures are often used without consideration of underlying constructs or the psychometric properties of the measures and without regard to the links between screening decisions and educational…
Descriptors: Intelligence, Gifted, Intelligence Tests, Identification
Lord, Catherine; Jones, Rebecca M. – Journal of Child Psychology and Psychiatry, 2012
Background: The nosology of autism spectrum disorders (ASD) is at a critical point in history as the field seeks to better define dimensions of social-communication deficits and restricted/repetitive behaviors on an individual level for both clinical and neurobiological purposes. These different dimensions also suggest an increasing need for…
Descriptors: Autism, Classification, Psychometrics, Pervasive Developmental Disorders
Tchumtchoua, Sylvie; Dey, Dipak K. – Psychometrika, 2012
This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the…
Descriptors: Factor Analysis, Bayesian Statistics, Behavioral Sciences, Social Sciences
Mahrous, Abeer A.; Kortam, Wael – Journal of Marketing for Higher Education, 2012
This paper seeks to understand the criteria which students use to evaluate teaching effectiveness. Using structural equation modeling with a sample of business students from Egypt, the findings indicate that the above criteria comprise six factors: organization of the course, fairness of grading, workload difficulty, student-instructor…
Descriptors: Student Attitudes, Student Evaluation of Teacher Performance, Structural Equation Models, Evaluation Criteria
Porter, Jill; Daniels, Harry; Martin, Sue; Hacker, Jayne; Feiler, Anthony; Georgeson, Jan – Educational Review, 2012
Conceptualisations of disability that emphasise the contextual and cultural nature of disability and the embodiment of these within a national system of data collection present a number of challenges especially where this process is devolved to schools. The requirement for measures based on contextual and subjective experiences gives rise to…
Descriptors: Data Collection, Disabilities, Student Needs, Evaluation Methods
Morey, Richard D.; Rouder, Jeffrey N.; Speckman, Paul L. – Psychometrika, 2009
Human abilities in perceptual domains have conventionally been described with reference to a threshold that may be defined as the maximum amount of stimulation which leads to baseline performance. Traditional psychometric links, such as the probit, logit, and "t", are incompatible with a threshold as there are no true scores corresponding to…
Descriptors: Psychometrics, Computation, Item Response Theory, Models
Watson, David – Psychological Bulletin, 2009
C. S. Carver and E. Harmon-Jones have presented considerable evidence to support their argument that "anger relates to an appetitive or approach motivational system, whereas anxiety relates to an aversive or avoidance motivational system" (p. 183). However, they have failed to take sufficient account of the extensive psychometric data indicating…
Descriptors: Psychological Patterns, Motivation, Anxiety, Psychometrics

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