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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
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Oscar David Marcenaro-Gutierrez; Luis Alejandro Lopez-Agudo – Research Papers in Education, 2024
Most education systems have set a minimum age until which students must stay at school. In the case of Spain, students can drop out the same day they reach that age, even without finishing that academic year. In the present research work, we intend to analyse the influence of early dropout on later life outcomes for the Spanish population, i.e.…
Descriptors: Foreign Countries, Dropouts, Income, Dropout Research
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Olvera Astivia, Oscar L.; Kroc, Edward – Educational and Psychological Measurement, 2019
Within the context of moderated multiple regression, mean centering is recommended both to simplify the interpretation of the coefficients and to reduce the problem of multicollinearity. For almost 30 years, theoreticians and applied researchers have advocated for centering as an effective way to reduce the correlation between variables and thus…
Descriptors: Multiple Regression Analysis, Computation, Correlation, Statistical Distributions
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Bensley, D. Alan; Lilienfeld, Scott O.; Rowan, Krystal A.; Masciocchi, Christopher M.; Grain, Florent – Applied Cognitive Psychology, 2020
We tested the hypothesis that people show generality in their endorsement of unsubstantiated claims, employing more types of measures than used in previous studies. We found that measures of generic conspiracist ideation, specific fictitious conspiracy theory, and false conspiracy theory beliefs were all strongly and positively intercorrelated. A…
Descriptors: Beliefs, Ideology, Correlation, Multiple Regression Analysis
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Peijiang Chen; Xueyin Yang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that…
Descriptors: Evaluation Methods, Blended Learning, Multiple Regression Analysis, Learning Processes
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Kocoglu, Erol; Oguz-Hacat, Sibel; Gocer, Veysel – Journal of Education in Science, Environment and Health, 2023
In this study, it was aimed to determine the relationship between digital literacy and digital citizenship and digital teaching material development self-efficacy of the STEM teacher candidates. In the study, a correlational model was used. The population of the study consists of teacher candidates studying in different teacher training programs…
Descriptors: Foreign Countries, Preservice Teachers, STEM Education, Digital Literacy
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Plonsky, Luke; Ghanbar, Hessameddin – Modern Language Journal, 2018
Multiple regression is a family of statistics used to investigate the relationship between a set of predictors and a criterion (dependent) variable. This procedure is applicable in a variety of research contexts and data structures. Consequently, and similar to quantitative traditions in sister-disciplines such as education and psychology (see…
Descriptors: Predictor Variables, Second Language Learning, Language Research, Multiple Regression Analysis
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Ferrer, Carlos A.; Haderlein, Tino; Maryn, Youri; de Bodt, Marc S.; Nöth, Elmar – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The aim of the study was to address the reported inconsistencies in the relationship between objective acoustic measures and perceptual ratings of vocal quality. Method: This tutorial moves away from the more widely examined problems related to obtaining the perceptual ratings and the acoustic measures and centers in less scrutinized…
Descriptors: Objective Tests, Acoustics, Reliability, Perception Tests
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Mundfrom, Daniel J.; DePoy Smith, Michelle L.; Kay, Lisa W. – AERA Online Paper Repository, 2017
It is widely known that the presence of multicollinearity in a dataset can have detrimental effects on determining which predictors are responsible for the variation in the response (e.g. Pedhazur, 1982). There also exist some indication that the presence of multicollinearity does not impact one's ability to accurately estimate/predict the value…
Descriptors: Prediction, Predictor Variables, Multiple Regression Analysis, Sample Size
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Wang, Yali; Gu, Chuanhua; Lu, Jiamei – Journal of Creative Behavior, 2019
The neural mechanism underlying creativity has been identified and confirmed by numerous studies. This current exploratory study compared the neural basis between social creativity and general creativity and explored the effect of creative personality on their neural basis by employing multiple regression analysis. The EEG activities of 34…
Descriptors: Brain Hemisphere Functions, Creativity, Personality Traits, Task Analysis
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Kirdök, Oguzhan; Bölükbasi, Ayten – Journal of Education and Training Studies, 2018
The aim of this study is to examine whether career adaptability and career adaptability subscales of senior undergraduates could predict subjective well-being. The research was a descriptive correlational study which was conducted on 310 senior students (173 women, 137 men) in a state-funded university on the Mediterranean coast of Turkey and…
Descriptors: College Seniors, Vocational Adjustment, Well Being, Correlation
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Gökçe Kiliçoglu – Universal Journal of Educational Research, 2018
The purpose of this study is to examine secondary school students' social studies course self -efficacy and social studies course motivation (intrinsic motivation, heeding, and extrinsic motivation) levels. Study sample is composed of 305 7th class secondary school students. In the study, data was collected using relational screening model and…
Descriptors: Correlation, Social Studies, Self Efficacy, Student Motivation
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Tsai, Shu-Min; Wang, Yaw-Yih; Weng, Chih-Miao – Journal of Education and Learning, 2020
The study explored the relationships between digital games internet addiction, peer relationships, and learning attitudes through questionnaire survey in senior grade of elementary school children in elementary school in Chiayi County. Taking 735 students as the research object, SPSS 22.0 as a quantity research analysis instrument was applied to…
Descriptors: Computer Games, Internet, Addictive Behavior, Peer Relationship
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Ginting, Siti Aisyah – Dinamika Ilmu, 2017
The study deals with learning styles and ways of thinking in facilitating effective teaching. The objective of this study was to investigate the relationship between students' learning style and ways of thinking toward effective teaching. This study was conducted by using correlational design. The population of the study were 360 university…
Descriptors: Cognitive Style, College Students, Correlation, Teacher Effectiveness
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Öhrstedt, Maria; Lindfors, Petra – Journal of Further and Higher Education, 2018
Previous research indicates that higher educational students' perceptions of stress are in part related to the teaching and learning context, and influence academic outcomes. This study intends to deepen our understanding of these processes by examining the linkages between approaches to learning, perceived stress and expected and actual academic…
Descriptors: Outcomes of Education, Questionnaires, Foreign Countries, College Freshmen
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