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Chao, Tzu-Yang; Sung, Yao-Ting – Asia-Pacific Education Researcher, 2023
This study developed an Adolescents' Uncertainty Scale (AUS), with the aim of understanding individual differences in uncertainty among adolescents. In the pretest phase, 507 ninth-grade students were recruited. After exploratory factor analyses, a 25-item AUS with four dimensions--irresoluteness, instability, lack of self-knowledge, and…
Descriptors: Foreign Countries, Adolescents, Anxiety, Ambiguity (Context)
Lea Dickhäuser; Christine Koddebusch; Christiane Hermann – Journal of College Student Mental Health, 2024
As stress in students has increased in the last years, factors predicting stress need to be investigated. The aim of the present study was to replicate previous findings using the demand-control model and to examine the role of emotional distress in a transactional model (inspired by Lazarus' transactional stress model). "Stress, mental…
Descriptors: Prediction, Stress Variables, Validity, Models
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Galsky, Ashley Perle – ProQuest LLC, 2019
The dual-factor model of mental health proposes that symptoms of mental illness and markers of mental wellness can occur simultaneously, while functioning as discrete factors that contribute to mental health and adaptive functioning (Keyes, 2005). The current study investigated the utility of the dual-factor model of mental health (cf. Greenspoon…
Descriptors: College Students, Mental Health, Groups, Individual Characteristics
Kutuk, Gulsah; Putwain, David W.; Kaye, Linda; Garrett, Bethan – Journal of Psychoeducational Assessment, 2020
This study reports on the development and assessment of a new 30-item Multidimensional Language Class Anxiety Scale which is designed to assess foreign language learners' anxiety regarding four language skills (listening, reading, writing, and speaking) and testing. In Study 1, the initial items were piloted with 323 students studying English as a…
Descriptors: Validity, Anxiety, Second Language Learning, Second Language Instruction
Caprara, Gian Vittorio; Di Giunta, Laura; Pastorelli, Concetta; Eisenberg, Nancy – Psychological Assessment, 2013
Building on previous studies that formulated measures for assessing self-efficacy beliefs regarding the management of anger/irritation and despondency/sadness, we developed 3 new scales to assess perceived self-efficacy in managing fear, shame/embarrassment, and guilt. In Study 1, the internal and construct validity of the 5 aforementioned…
Descriptors: Self Efficacy, Affective Behavior, Measures (Individuals), Psychological Patterns
Vassilopoulos, Stephanos P.; Brouzos, Andreas; Moberly, Nicholas J.; Tsorbatzoudis, Haralambos; Tziouma, Olga – British Journal of Guidance & Counselling, 2017
Research has shown that social anxiety generalises to sporting and athletic situations. The present study explored the applicability of the Clark and Wells model of social anxiety--and its metacognitive extension--to sport anxiety. Participants were 290 students aged 11-13 years, who completed measures of sport anxiety, social anxiety, depression…
Descriptors: Generalization, Anxiety, Athletics, Correlation
Huang, Heng-Tsung Danny; Hung, Shao-Ting Alan; Hong, He-Ting Vivian – Language Assessment Quarterly, 2016
This study explored the relationships among language proficiency, two selected test-taker characteristics (i.e., topical knowledge and anxiety), and integrated speaking test performance. Data collection capitalized on three sets of instruments: three integrated tasks derived from TOEFL-iBT preparation materials, the state anxiety inventory created…
Descriptors: Oral Language, Language Tests, Path Analysis, Test Anxiety
Hansel, Tonya Cross; Osofsky, Joy D.; Osofsky, Howard J. – Child & Youth Care Forum, 2015
Background: Post disaster psychosocial surveillance procedures are important for guiding effective and efficient recovery. The Louisiana State University Health Sciences Center Katrina Inspired Disaster Screenings (KIDS) is a model designed with the goal of assisting recovering communities in understanding the needs of and targeting services…
Descriptors: Natural Disasters, Models, Psychometrics, Factor Analysis
Sette, Stefania; Baumgartner, Emma; MacKinnon, David P. – Early Education and Development, 2015
Research Findings: The main goals of this study were to examine the factor validity of the Social Competence and Behavior Evaluation (SCBE-30) scale using exploratory factor analysis and confirmatory factor analysis and to test factor invariance across gender in a sample of Italian preschool-age children (241 boys, 252 girls). The concurrent…
Descriptors: Foreign Countries, Preschool Children, Interpersonal Competence, Behavior Problems
Villardón-Gallego, Lourdes; Yániz, Concepción – Electronic Journal of Research in Educational Psychology, 2014
Introduction: Affective strategies for coping with affective states linked to the learning process may be oriented toward controlling emotions or toward controlling motivation. Both types affect performance, directly and indirectly. The objective of this research was to design an instrument for measuring the affective strategies used by university…
Descriptors: Psychometrics, Affective Behavior, Anxiety, Measures (Individuals)
Brown, Steven D.; Hacker, Jason; Abrams, Matthew; Carr, Andrea; Rector, Christopher; Lamp, Kristen; Telander, Kyle; Siena, Anne – Journal of Career Assessment, 2012
Two studies were designed to explore whether a meta-analytically derived four-factor model of career indecision (Brown & Rector, 2008) could be replicated at the primary and secondary data levels. In the first study, an initial pool of 167 items was written based on 35 different instruments whose scores had loaded saliently on at least one…
Descriptors: Career Choice, Models, Factor Structure, Validity
Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2014
The psychometric properties of the Revised Children's Manifest Anxiety Scale-Second Edition (RCMAS-2) were examined in a sample of 1,003 U.S. elementary and secondary students in Grades 2 to 12. Confirmatory factor analyses (CFAs) were performed comparing the five-factor (target) model consisting of three anxiety (Physiological Anxiety, Social…
Descriptors: Psychometrics, Anxiety, Elementary School Students, Secondary School Students