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Examining the Robustness of the Graded Response and 2-Parameter Logistic Models to Violations of Construct Normality
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Manapat, Patrick D.; Edwards, Michael C. – Educational and Psychological Measurement, 2022
When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…
Descriptors: Robustness (Statistics), Computational Linguistics, Item Response Theory, Psychological Patterns
Can People with Higher versus Lower Scores on Impression Management or Self-Monitoring be Identified through Different Traces under Faking?
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Jessica Röhner; Philipp Thoss; Liad Uziel – Educational and Psychological Measurement, 2024
According to faking models, personality variables and faking are related. Most prominently, people's tendency to try to make an appropriate impression (impression management; IM) and their tendency to adjust the impression they make (self-monitoring; SM) have been suggested to be associated with faking. Nevertheless, empirical findings connecting…
Descriptors: Metacognition, Deception, Personality Traits, Scores
Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis
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D'Urso, E. Damiano; Tijmstra, Jesper; Vermunt, Jeroen K.; De Roover, Kim – Educational and Psychological Measurement, 2023
Assessing the measurement model (MM) of self-report scales is crucial to obtain valid measurements of individuals' latent psychological constructs. This entails evaluating the number of measured constructs and determining which construct is measured by which item. Exploratory factor analysis (EFA) is the most-used method to evaluate these…
Descriptors: Factor Analysis, Measurement Techniques, Self Evaluation (Individuals), Psychological Patterns
A Motivational Perspective on Engagement and Disaffection: Conceptualization and Assessment of Children's Behavioral and Emotional Participation in Academic Activities in the Classroom
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Skinner, Ellen A.; Kindermann, Thomas A.; Furrer, Carrie J. – Educational and Psychological Measurement, 2009
This article presents a motivational conceptualization of engagement and disaffection: First, it emphasizes children's constructive, focused, enthusiastic participation in the activities of classroom learning; second, it distinguishes engagement from disaffection, as well as behavioral features from emotional features. Psychometric properties of…
Descriptors: Achievement Need, Learner Engagement, Student Motivation, Student Participation
Development of a Five-Dimensional Measure of Adult Sleep Quality
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Fortunato, Vincent J.; LeBourgeois, Monique K.; Harsh, John – Educational and Psychological Measurement, 2008
This article describes the development of a measure of adult sleep quality: the Adult Sleep-Wake Scale (ADSWS). The ADSWS is a self-report pencil-and-paper measure of sleep quality consisting of five behavioral dimensions (Going to Bed, Falling Asleep, Maintaining Sleep, Reinitiating Sleep, and Returning to Wakefulness). Data were collected from…
Descriptors: Construct Validity, Test Validity, Sleep, Personality Traits
Measures of Individual Differences in Temperament.
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Mehrabian, Albert – Educational and Psychological Measurement, 1978
Reliability and validity data are presented for three orthogonal measures of temperament: trait-pleasure, trait-arousal, and trait-dominance. Reliability coefficients for the three scales were .91, .60, and .84, respectively. Intercorrelations among the three scales were insignificant and low. (Author/JKS)
Descriptors: Correlation, Higher Education, Individual Characteristics, Personality
Factor Analyses and Score Validity of the Family Emotional Involvement and Criticism Scale in an Adolescent Sample
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Nelis, Sharon M.; Rae, Gordon; Liddell, Christine – Educational and Psychological Measurement, 2006
The factor structure of the Family Emotional Involvement and Criticism Scale (FEICS) is tested in a sample of Irish adolescents. Participants were 661 adolescents with a mean age of 15.9 years (SD = 1.26). Interpretation of both the exploratory and confirmatory factor analysis of the FEICS show support for the two-factor structure of the FEICS…
Descriptors: Factor Analysis, Validity, Factor Structure, Foreign Countries