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Direct linkArens, A. Katrin; Niepel, Christoph – British Journal of Educational Psychology, 2023
Background: The reciprocal internal/external frame of reference (RI/E) combines two models of academic self-concept formation, namely the reciprocal effects model (REM) and the internal/external frame of reference (I/E) model. The REM assumes reciprocal relations between achievement and academic self-concept. The I/E model assumes contrast effects…
Descriptors: Academic Ability, Self Concept, German, English (Second Language)
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Download full textGin, Brian; Sim, Nicholas; Skrondal, Anders; Rabe-Hesketh, Sophia – Grantee Submission, 2020
We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors, perceptions, etc.) of each individual (actor) made within the context of a dyad formed with another individual (partner). Examples of its use include the assessment of…
Descriptors: Item Response Theory, Generalization, Item Analysis, Problem Solving
Stocker, Joana; Abu-Hilal, Maher; Hermena, Ehab; AlJassmi, Maryam; Barbato, Mariapaola – Educational Psychology, 2021
This study aims at testing the generalisability of Marsh's Internal/External (I/E) frame of reference model as well as its Dimensional Comparison Theory (DCT) extension in a sample of United Arab Emirates (UAE) high school students. Relationship between self-concept and achievement in Arabic, English and mathematics were explored. A sample of 990…
Descriptors: Arabs, High School Students, Self Concept, Academic Achievement
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Mokhtari, Kouider; Dimitrov, Dimiter M.; Reichard, Carla A. – Studies in Second Language Learning and Teaching, 2018
In this study, we revised the "Metacognitive Awareness of Reading Strategies Inventory" (MARSI), a self-report instrument designed to assess students' awareness of reading strategies when reading school-related materials. We collected evidence of structural, generalizability, and external aspects of validity for the revised inventory…
Descriptors: Metacognition, Reading Strategies, Measures (Individuals), Factor Analysis
Hsieh, Manying; Stright, Anne Dopkins – Journal of Early Adolescence, 2012
This study examined the relationships among adolescents' emotion regulation strategies (suppression and cognitive reappraisal), self-concept, and internalizing problems using structural equation modeling. The sample consisted of 438 early adolescents (13 to 15 years old) in Taiwan, including 215 boys and 223 girls. For both boys and girls,…
Descriptors: Adolescents, Foreign Countries, Asian Culture, Structural Equation Models
Leue, Anja; Lange, Sebastian – Assessment, 2011
The assessment of positive affect (PA) and negative affect (NA) by means of the Positive Affect and Negative Affect Schedule has received a remarkable popularity in the social sciences. Using a meta-analytic tool--namely, reliability generalization (RG)--population reliability scores of both scales have been investigated on the basis of a random…
Descriptors: Social Sciences, True Scores, Generalization, Affective Behavior
Wang, Wen-Chung; Jin, Kuan-Yu – Applied Psychological Measurement, 2010
In this study, all the advantages of slope parameters, random weights, and latent regression are acknowledged when dealing with component and composite items by adding slope parameters and random weights into the standard item response model with internal restrictions on item difficulty and formulating this new model within a multilevel framework…
Descriptors: Test Items, Difficulty Level, Regression (Statistics), Generalization
Parker, Philip D.; Schoon, Ingrid; Tsai, Yi-Miau; Nagy, Gabriel; Trautwein, Ulrich; Eccles, Jacquelynne S. – Developmental Psychology, 2012
In this article, the authors develop and test a differential effects model of university entry versus major selection using a set of common predictors, including background factors (gender and socioeconomic status), academic achievement, and academic self-concept. The research used data from 2 large longitudinal databases from Germany (N = 5,048)…
Descriptors: Academic Achievement, Foreign Countries, Socioeconomic Status, Socioeconomic Background
Jia, Yujie – ProQuest LLC, 2013
This study employed Bachman and Palmer's (2010) Assessment Use Argument framework to investigate to what extent the use of a second language oral test as an exit test in a Hong Kong university can be justified. It also aimed to help test developers of this oral test identify the most critical areas in the current test design that might need…
Descriptors: Test Use, Language Tests, Oral Language, Second Language Learning
Brunner, Martin; Keller, Ulrich; Hornung, Caroline; Reichert, Monique; Martin, Romain – Learning and Individual Differences, 2009
Prior research on the structure of academic self-concepts has demonstrated academic self-concepts to be domain-specific and hierarchically organized, but has largely failed to support the hypothesis that general academic self-concept is at the apex of the hierarchy. The present study investigates a new multidimensional nested-factor model of…
Descriptors: Self Concept, Student Characteristics, Academic Ability, Models
Ivanova, Masha Y.; Achenbach, Thomas M.; Rescorla, Leslie A.; Dumenci, Levent; Almqvist, Fredrik; Bilenberg, Niels; Bird, Hector; Broberg, Anders G.; Dobrean, Anca; Dopfner, Manfred; Erol, Nese; Forns, Maria; Hannesdottir, Helga; Kanbayashi, Yasuko; Lambert, Michael C.; Leung, Patrick; Minaei, Asghar; Mulatu, Mesfin S.; Novik, Torunn; Oh, Kyung Ja; Roussos, Alexandra; Sawyer, Michael; Simsek, Zeynep; Steinhausen, Hans- Christoph; Weintraub, Sheila; Winkler Metzke, Christa; Wolanczyk, Tomasz; Zilber, Nelly; Zukauskiene, Rita; Verhulst, Frank C. – Journal of Consulting and Clinical Psychology, 2007
As a basis for theories of psychopathology, clinical psychology and related disciplines need sound taxonomies that are generalizable across diverse populations. To test the generalizability of a statistically derived 8-syndrome taxonomic model for youth psychopathology, confirmatory factor analyses (CFAs) were performed on the Youth Self-Report…
Descriptors: Psychopathology, Child Behavior, Check Lists, Age
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
