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Showing 1 to 15 of 27 results Save | Export
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Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2013
To classify an item score pattern as not fitting a nonparametric item response theory (NIRT) model, the probability of exceedance (PE) of an observed response vector x can be determined as the sum of the probabilities of all response vectors that are, at most, as likely as x, conditional on the test's total score. Vector x is to be considered…
Descriptors: Probability, Nonparametric Statistics, Goodness of Fit, Test Length
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Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
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Ranger, Jochen; Kuhn, Jorg-Tobias – Applied Psychological Measurement, 2012
Research findings indicate that response times in personality scales are related to the trait level according to the so-called speed-distance hypothesis. Against this background, Ferrando and Lorenzo-Seva proposed a latent trait model for the responses and response times in a test. The model consists of two components, a standard item response…
Descriptors: Reaction Time, Item Response Theory, Models, Psychological Testing
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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
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Ferrando, Pere Joan – Applied Psychological Measurement, 2010
This article proposes several statistics for assessing individual fit based on two unidimensional models for continuous responses: linear factor analysis and Samejima's continuous response model. Both models are approached using a common framework based on underlying response variables and are formulated at the individual level as fixed regression…
Descriptors: Factor Analysis, Statistics, Psychological Studies, Simulation
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Woods, Carol M.; Lin, Nan – Applied Psychological Measurement, 2009
Davidian-curve item response theory (DC-IRT) is introduced, evaluated with simulations, and illustrated using data from the Schedule for Nonadaptive and Adaptive Personality Entitlement scale. DC-IRT is a method for fitting unidimensional IRT models with maximum marginal likelihood estimation, in which the latent density is estimated,…
Descriptors: Item Response Theory, Personality Measures, Computation, Simulation
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Emons, Wilco H. M. – Applied Psychological Measurement, 2009
For valid decision making, it is essential to both the person being measured and the person or organization that is having the person measured that the observed scores adequately represent the underlying trait. This study deals with person-fit analysis of polytomous item scores to detect unusual patterns of sum scores on subsets of items. This…
Descriptors: Personality Theories, Personality Measures, Scores, Test Items
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Ferrando, Pere J. – Applied Psychological Measurement, 2009
Spearman's factor-analytic model has been proposed as a unidimensional linear item response theory (IRT) model for continuous item responses. This article first proposes a reexpression of the model that leads to a form similar to that of standard IRT models for binary responses and discusses the item indices of difficulty discrimination and…
Descriptors: Factor Analysis, Item Response Theory, Discriminant Analysis, Psychometrics
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Campbell, John B.; Chun, Ki-Taek – Applied Psychological Measurement, 1977
A multiple regression approach is used to assess the feasibility of reciprocal prediction between the Sixteen Personality Factor Questionnaire scales and the California Psychological Inventory scales (i.e., the prediction of each 16PF scale from the CPI scales and of each CPI scale from the 16PF scales). (RC)
Descriptors: Correlation, Multiple Regression Analysis, Personality Measures, Prediction
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Goldberg, Lewis R. – Applied Psychological Measurement, 1978
Three personality measures were administered twice each with an interval of four weeks between administrations, and the response consistency of these tests was analyzed. The evidence is equivocal. The confounding of consistency effects with other sources of variance remains a problem. (Author/CTM)
Descriptors: Higher Education, Personality Measures, Predictor Variables, Reliability
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Zickar, Michael J.; Drasgow, Fritz – Applied Psychological Measurement, 1996
The use of appropriateness measurement for identifying dishonest respondents on personality tests was studied through analysis of datasets of 48,725 and 1,987 in which respondents were instructed to answer honestly or dishonestly. An item response theory approach to detecting faking classified a higher number of faking respondents than did a…
Descriptors: Adults, Classification, Identification, Item Response Theory
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Ferrando, Pere J. – Applied Psychological Measurement, 2004
This article discusses the rationale of an item response theory (IRT) model, based on Thurstone scaling, for personality measurement and suggests procedures for (a) estimating the location and slope parameters of the person response curve (PRC), (b) assessing the precision of the estimates, and (c) assessing the model-data fit. The relations…
Descriptors: Personality Measures, Item Response Theory, Evaluation Methods, Reliability
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Cliff, Norman – Applied Psychological Measurement, 1977
An attempt was made to validate for sentence type items a mathematical model for inventory response. Data were gathered from subjects responding under candid and under faking sets. In the former case only limited support for the model was found, but in the latter it seemed highly relevant. (Author/RC)
Descriptors: Cognitive Processes, Individual Differences, Mathematical Models, Multidimensional Scaling
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Schmitt, Neal; Chan, David; Sacco, Joshua M.; McFarland, Lynn A.; Jennings, Danielle – Applied Psychological Measurement, 1999
Computed person-fit indices derived from Item Response Theory and used them to identify misfitting examinees using responses to cognitive ability and personality tests from 180 and 198 college students. Results suggest that person misfit may be related to the motivational set of the examinees. (SLD)
Descriptors: College Students, Correlation, Higher Education, Item Response Theory
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Mishara, Brian L.; Baker, A. Harvey – Applied Psychological Measurement, 1978
The validity of the Kinesthetic Aftereffect (KAE) as a measure of personality has been criticized because of KAE's poor test-retest reliability. However, systematic bias effects render KA E retest sessions invalid and make test-retest reliability an inappropriate measure of KAE's true reliability. (Author/CTM)
Descriptors: Kinesthetic Perception, Perception Tests, Personality Measures, Tactual Perception
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