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Showing 1 to 15 of 49 results Save | Export
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Schweizer, Karl; Troche, Stefan – Educational and Psychological Measurement, 2018
In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of…
Descriptors: Investigations, Difficulty Level, Factor Analysis, Models
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Miciak, Jeremy; Taylor, W. Pat; Stuebing, Karla K.; Fletcher, Jack M. – Journal of Psychoeducational Assessment, 2018
We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…
Descriptors: Accuracy, Learning Disabilities, Classification, Identification
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Zeller, Florian; Krampen, Dorothea; Reiß, Siegbert; Schweizer, Karl – Educational and Psychological Measurement, 2017
The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine…
Descriptors: Goodness of Fit, Simulation, Factor Analysis, Intelligence Tests
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Kirdök, Oguzhan; Korkmaz, Ozan – Educational Research and Reviews, 2018
This study aims to examine the predictability of emotional intelligence and five factor personality traits on career decision difficulties. The study group consisted of 432 students (246 women, 186 men) who participated in five different high schools in Adana and voluntarily participated in the study. Data collection tool were composed of Career…
Descriptors: Personality Traits, Emotional Intelligence, High School Students, Career Choice
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Torppa, Minna; Georgiou, George K.; Lerkkanen, Marja-Kristiina; Niemi, Pekka; Poikkeus, Anna-Maija – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2016
This study examined the dynamic relationships among the components of the Simple View of Reading (SVR) in a transparent orthography (Finnish) and the predictive value of cognitive skills (phonological awareness, letter knowledge, rapid naming, and vocabulary) on the SVR components. Altogether, 1,815 Finnish children were followed from kindergarten…
Descriptors: Longitudinal Studies, Kindergarten, Grade 1, Grade 2
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Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
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Martin, Nadia; Hughes, Jeffrey; Fugelsang, Jonathan – Statistics Education Research Journal, 2017
We examine the joint effects of gender and experience on statistical reasoning. Participants with various levels of experience in statistics completed the Statistical Reasoning Assessment (Garfield, 2003), along with individual difference measures assessing cognitive ability and thinking dispositions. Although the performance of both genders…
Descriptors: Gender Differences, Experience, Statistical Analysis, Logical Thinking
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Finch, W. Holmes; Finch, Maria E. Hernandez – Practical Assessment, Research & Evaluation, 2016
Researchers and data analysts are sometimes faced with the problem of very small samples, where the number of variables approaches or exceeds the overall sample size; i.e. high dimensional data. In such cases, standard statistical models such as regression or analysis of variance cannot be used, either because the resulting parameter estimates…
Descriptors: Sample Size, Statistical Analysis, Regression (Statistics), Predictor Variables
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Varela, Otmar; Mead, Esther – Journal of Education for Business, 2018
Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on…
Descriptors: Teamwork, Evaluation Methods, Test Validity, Psychometrics
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Kruk, Richard S.; Luther Ruban, Cassia – Journal of Learning Disabilities, 2018
Visual processes in Grade 1 were examined for their predictive influences in nonalphanumeric and alphanumeric rapid naming (RAN) in 51 poor early and 69 typical readers. In a lagged design, children were followed longitudinally from Grade 1 to Grade 3 over 5 testing occasions. RAN outcomes in early Grade 2 were predicted by speeded and nonspeeded…
Descriptors: Naming, Reading Difficulties, Grade 1, Grade 2
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2014
This research note contributes to the discussion of methods that can be used to identify useful auxiliary variables for analyses of incomplete data sets. A latent variable approach is discussed, which is helpful in finding auxiliary variables with the property that if included in subsequent maximum likelihood analyses they may enhance considerably…
Descriptors: Data Analysis, Identification, Maximum Likelihood Statistics, Statistical Analysis
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Noor, Farukh; Hanafi, Zahyah – Malaysian Journal of Learning and Instruction, 2017
Purpose: Academic achievement of students can be fostered and improved if they learn to apply emotional intelligence in their emerging adulthood. The core objective of this research is to test the relationship between emerging adulthood and academic achievement by taking emotional intelligence as a mediator. Methodology: The sample comprises 90…
Descriptors: Emotional Intelligence, Young Adults, Late Adolescents, Academic Achievement
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Poch, Apryl L.; Lembke, Erica S. – International Journal for Research in Learning Disabilities, 2017
According to the Simple View of Writing, four primary skills are necessary for successful writing (Berninger & Amtmann, 2003; Berninger & Winn, 2006). Transcription skills (e.g., handwriting, spelling) represent lower-order cognitive tasks, whereas text generation skills (e.g., ideation, translation) represent higher-order…
Descriptors: Writing Skills, Executive Function, Short Term Memory, Factor Analysis
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Tibi, Sana; Kirby, John R. – Scientific Studies of Reading, 2018
Wolf and Bowers (1999) described a model in which phonological awareness (PA) and naming speed (NS) make independent contributions to reading ability. We tested this model in a sample of 201 Grade 3 Arabic-speaking children in Dubai, United Arab Emirates. Measures of general cognitive ability, vocabulary, PA, NS, word reading, and reading…
Descriptors: Phonological Awareness, Vocabulary Development, Models, Semitic Languages
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Strand, Paul S.; Downs, Andrew; Barbosa-Leiker, Celestina – Developmental Psychology, 2016
The authors explored predictions from basic emotion theory (BET) that facial emotion expression recognition skills are insular with respect to their own development, and yet foundational to the development of emotional perspective-taking skills. Participants included 417 preschool children for whom estimates of these 2 emotion understanding…
Descriptors: Emotional Response, Nonverbal Communication, Preschool Children, Structural Equation Models
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