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Zhang, Limei; Aryadoust, Vahid; Zhang, Lawrence Jun – Asia-Pacific Education Researcher, 2014
This article reports the development of the Test Takers' Metacognitive Awareness Reading Questionnaire (TMARQ) which measures test takers' metacognition in reading comprehension tests. The TMARQ comprises seven subscales: planning strategies, evaluating strategies, monitoring strategies, strategies for identifying important information,…
Descriptors: Metacognition, Reading Tests, Questionnaires, Program Validation
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Ferrando, Pere J.; Anguiano-Carrasco, Cristina – Educational and Psychological Measurement, 2013
This article proposes a two-stage procedure aimed at identifying faking in personality tests. The procedure, which can be considered as an extension and refinement of previous item response theory (IRT)-based proposals, combines the information provided by a structural equation model (SEM) in the first stage with that provided by an IRT-based…
Descriptors: Structural Equation Models, Item Response Theory, Personality Measures, Deception
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Phakiti, Aek – Language Assessment Quarterly, 2016
The current study explores the nature and relationships among test takers' performance appraisals, appraisal calibration, and reported cognitive and metacognitive strategy use in a language test situation. Performance appraisals are executive processes of strategic competence for judging test performance (e.g., evaluating the correctness or…
Descriptors: Testing, Test Wiseness, Language Tests, Evaluation Methods
Liu, I-Fang; Ko, Hwa-Wei – International Association for Development of the Information Society, 2016
Perspectives from reading and information fields have identified similar skills belong to two different kind of literacy being online reading abilities and ICT skills. It causes a conflict between two research fields and increase difficult of integrating study results. The purpose of this study was to determine which views are suitable for…
Descriptors: Information Technology, Information Literacy, Computer Literacy, Reading Skills
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Battauz, Michela; Bellio, Ruggero – Psychometrika, 2011
This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable…
Descriptors: Error of Measurement, Structural Equation Models, Computation, Item Response Theory
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Plieninger, Hansjörg; Meiser, Thorsten – Educational and Psychological Measurement, 2014
Response styles, the tendency to respond to Likert-type items irrespective of content, are a widely known threat to the reliability and validity of self-report measures. However, it is still debated how to measure and control for response styles such as extreme responding. Recently, multiprocess item response theory models have been proposed that…
Descriptors: Validity, Item Response Theory, Rating Scales, Models
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De Naeghel, Jessie; Van Keer, Hilde; Vansteenkiste, Maarten; Rosseel, Yves – Journal of Educational Psychology, 2012
Research indicates the need to further examine the dimensions of reading motivation. A clear theoretical basis is necessary for conceptualizing reading motivation and considering contextual differences therein. The present study develops and validates the SRQ-Reading Motivation, a questionnaire measuring recreational and academic reading…
Descriptors: Validity, Measurement, Reading Comprehension, Construct Validity
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Ferrando, Pere J. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Most personality tests are made up of Likert-type items and analyzed by means of factor analysis (FA). In this type of application, the fit of the model at the level of individual respondents is almost never assessed. This article proposes procedures for assessing individual fit (scalability). The procedures are intended for the analysis of…
Descriptors: Personality, Factor Analysis, Personality Measures, Item Response Theory
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Woods, Carol M. – Multivariate Behavioral Research, 2009
Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item…
Descriptors: Test Bias, Structural Equation Models, Item Response Theory, Testing