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Weiss, Selina; Steger, Diana; Schroeders, Ulrich; Wilhelm, Oliver – Journal of Intelligence, 2020
Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer…
Descriptors: Intelligence, Creativity, Prediction, Correlation
Thompson, Yutian T.; Song, Hairong; Shi, Dexin; Liu, Zhengkui – Educational and Psychological Measurement, 2021
Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to…
Descriptors: Measurement, Statistical Analysis, Selection, Comparative Analysis
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
Fangxing Bai; Ben Kelcey – Society for Research on Educational Effectiveness, 2024
Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Sample Size, Faculty Development
Guo, Meng; Hu, Xiang – Asia-Pacific Education Researcher, 2022
This study examines the relationship between classroom goal structures, student goal orientations, and mathematics achievement in China and compare the pattern of relationship between Chinese Miao and Han students. Data on 532 Chinese students (including 211 Han and 321 Miao students) were analyzed using structural equation models. The results of…
Descriptors: Foreign Countries, Goal Orientation, Ethnic Groups, Mathematics Achievement
Ben Kelcey; Fangxing Bai; Amota Ataneka; Yanli Xie; Kyle Cox – Society for Research on Educational Effectiveness, 2024
We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…
Descriptors: Structural Equation Models, Research Problems, Error of Measurement, Maximum Likelihood Statistics
Ma, Yue – International Journal of Science and Mathematics Education, 2023
Inquiry-based practices have important impacts on student science learning outcomes, yet the psychological mechanisms behind the relationships are less clear. This study aimed to explore the mediating effects of science attitudes in the relationship between student-perceived inquiry-based practices and scientific literacy using data from eight…
Descriptors: Inquiry, Educational Practices, Scientific Literacy, Scientific Attitudes
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
Son, Sookyoung; Lee, Hyunjung; Jang, Yoona; Yang, Junyeong; Hong, Sehee – Educational and Psychological Measurement, 2019
The purpose of the present study is to compare nonnormal distributions (i.e., t, skew-normal, skew-t with equal skew and skew-t with unequal skew) in growth mixture models (GMMs) based on diverse conditions of a number of time points, sample sizes, and skewness for intercepts. To carry out this research, two simulation studies were conducted with…
Descriptors: Statistical Distributions, Statistical Analysis, Structural Equation Models, Comparative Analysis
Mumbardó-Adam, Cristina; Guàrdia-Olmos, Joan; Giné Giné, Climent – Journal of Applied Research in Intellectual Disabilities, 2020
Self-determination, as a person dispositional characteristic, is indeed influenced by situational characteristics that shape actions across contexts. Research has also reported differences in self-determination as a function of personal factors, but there is a need to integrate this knowledge in a general model aiming to analyse the impact of…
Descriptors: Context Effect, Self Determination, Adolescents, Structural Equation Models
Vasalampi, Kati; Muotka, Joona; Malmberg, Lars-Erik; Aunola, Kaisa; Lerkkanen, Marja-Kristiina – British Journal of Educational Psychology, 2021
Background: Student engagement denotes active participation in academic work through commitment and involvement in learning tasks (Appleton et al., 2006, "Journal of School Psychology," 44, 427). This study looks at questions such as whether engagement experiences in one lesson have an effect on the next lesson. In the present study,…
Descriptors: Learner Engagement, Student Participation, Lesson Plans, Secondary School Students
Gil, Alfonso J.; Mataveli, Mara; Garcia-Alcaraz, Jorge L. – European Journal of Training and Development, 2022
Purpose: The transfer of training has been identified with the effectiveness of training. The purpose of this work is to analyse the impact of training stages (training needs analysis, application and evaluation) as they relate to training transfer. Design/methodology/approach: The study participants correspond to a sample of 116 teachers with…
Descriptors: Transfer of Training, Needs Assessment, Administrator Attitudes, Teacher Attitudes
Hermessi, Tarek – Innovation in Language Learning and Teaching, 2023
Purpose: The study was meant to investigate the motivational set-up among high school students of English. Design and Methodology: The design of the study was quantitative and a Likert scale format questionnaire was used to collect data from 241 high school students of English in Tunisia. The structural equation modeling approach was used to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Self Efficacy
Dorio, Nicole B.; Demaray, Michelle K.; Riffle, Logan N. – Psychology in the Schools, 2022
It is important to understand the mechanisms behind student academic engagement, as engagement in school is associated with a host of positive outcomes. As children mature, their peers become more important compared to adults in regard to their emotional engagement in school. Thus, this study sought to examine an aspect of peer relations,…
Descriptors: Bullying, High School Students, Learner Engagement, Victims

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