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Liu, Jing Dong; Chung, Pak-Kwong – Journal of Teaching in Physical Education, 2018
Purpose: The purpose of this study was two-fold: to examine the motivational profiles of secondary school students in physical education classes, and to examine the associations between the students' motivational profile characteristics and positive and negative affective experiences. Methods: A total of 1,570 students from Hong Kong were invited…
Descriptors: Physical Education, Secondary School Students, Student Motivation, Correlation
Garriott, Patton O.; Reiter, Stephanie; Brownfield, Jenna – Journal of Diversity in Higher Education, 2016
This pilot study tested the overall and relative efficacy of 3 common approaches to multicultural education in a sample (N = 52) of White undergraduate students using a randomized controlled trial. Brief multicultural education interventions were delivered in the form of educational, social norming, and entertainment conditions. Affective (i.e.,…
Descriptors: Intervention, Undergraduate Students, Control Groups, Pretests Posttests
Liew, Tze Wei; Tan, Su-Mae – Educational Technology & Society, 2016
The Cognitive-Affective Theory of Learning with Media framework posits that the multimedia learning process is mediated by the learner's mood. Recent studies have shown that positive mood has a facilitating effect on multimedia learning. Though literature has shown that negative mood encourages an individual to engage in a more systematic,…
Descriptors: Schemata (Cognition), Transfer of Training, Psychological Patterns, Programming
Zheng, Yao; Wiebe, Richard P.; Cleveland, H. Harrington; Molenaar, Peter C. M.; Harris, Kitty S. – Multivariate Behavioral Research, 2013
Psychological constructs, such as negative affect and substance use cravings that closely predict relapse, show substantial intraindividual day-to-day variability. This intraindividual variability of relevant psychological states combined with the "one day at a time" nature of sustained abstinence warrant a day-to-day investigation of substance…
Descriptors: Substance Abuse, Smoking, Psychological Patterns, Young Adults
Niculescu, Alexandra C.; Templelaar, Dirk; Leppink, Jimmie; Dailey-Hebert, Amber; Segers, Mien; Gijselaers, Wim – Electronic Journal of Research in Educational Psychology, 2015
Introduction: This study examined the predictive value of four learning-related emotions--Enjoyment, Anxiety, Boredom and Hopelessness for achievement outcomes in the first year of study at university. Method: We used a large sample (N = 2337) of first year university students enrolled over three consecutive academic years in a mathematics and…
Descriptors: College Freshmen, College Mathematics, Psychological Patterns, Predictor Variables
Ari, Lilac Lev; Shulman, Shmuel – Journal of Youth Studies, 2012
One hundred and fifty Israeli first-year college students were assessed twice: during the first semester following the commencement of their undergraduate studies and toward the end of the second semester. At each semester, participants completed web-based daily diaries for seven consecutive days assessing daily sleep, affective mood, stress, and…
Descriptors: College Freshmen, Multivariate Analysis, Diaries, Psychological Patterns
Stanley, Jennifer Tehan; Isaacowitz, Derek M. – Developmental Psychology, 2011
As a group, older adults report positive affective lives. The extent to which there are subgroups of older adults whose moods are less positive, however, is unclear. Our aim in the present study was to identify and characterize different subgroups of adults who exhibit distinct trajectories of mood change across a relatively short time period.…
Descriptors: Affective Behavior, Aging (Individuals), Time Perspective, Multivariate Analysis
Tonyan, Holli A.; Mamikonian-Zarpas, Ani; Chien, Dorothy – Early Child Development and Care, 2013
Research examining child-care providers' beliefs and behaviour has produced contradictory evidence perhaps because analyses commonly examine providers as a homogenous group. Among providers in the Study of Early Child Care and Youth Development, we used cluster analysis to identify groups based on profiles of beliefs. We found evidence for five…
Descriptors: Beliefs, Behavior, Child Caregivers, Individual Characteristics
Molenaar, Peter C. M.; Nesselroade, John R. – Multivariate Behavioral Research, 2009
It seems that just when we are about to lay P-technique factor analysis finally to rest as obsolete because of newer, more sophisticated multivariate time-series models using latent variables--dynamic factor models--it rears its head to inform us that an obituary may be premature. We present the results of some simulations demonstrating that even…
Descriptors: Factor Analysis, Multivariate Analysis, Simulation, Affective Behavior
Chuah, Kee Man; Chen, Chwen Jen; Teh, Chee Siong – Themes in Science and Technology Education, 2008
In recent years, the application of virtual reality (VR) technology in education is rapidly gaining momentum. The educational benefits offered by such technology have prompted many educators as well as instructional designers to investigate ways to create effective and engaging VR learning. Instructional designers have examined widely the…
Descriptors: Instructional Design, Computer Simulation, Web Based Instruction, Educational Environment
Reppa, Glykeria P. – Science Education International, 2007
Enjoyment and mood affection are considered to be main targets of intervention to promote physical activity (PA). Health education based on PA is seeking to explore the factors that affect children to foster and retain healthy habits. This study recognizes that the teaching methodology is crucial and attempts to investigate the effect two…
Descriptors: Emotional Response, Psychological Patterns, Affective Behavior, Motivation

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