High School Students’ Motivation for College Access Using Latent Profile Analysis: Focused on the Parental Environment and College Choice

2020 ◽  
Vol 58 (4) ◽  
pp. 119-150
Author(s):  
Hee Jung Gong ◽  
Kyung Hyun Park
Author(s):  
Xiaotong Wen ◽  
Yixiang Lin ◽  
Yuchen Liu ◽  
Katie Starcevich ◽  
Fang Yuan ◽  
...  

The purpose of this study is to understand the potential types of anxiety among middle school students by analyzing the current situation of middle school students’ anxiety and its influencing factor. This study used a multistage stratified cluster random sampling to investigate students in grades 9 to 12. Mplus 7.4 was used for latent profile analysis. A total of 900 junior high school students were investigated. The junior high school students were divided into three subgroups by latent profile analysis. A total of 223 junior high school students experienced severe anxiety, accounting for 24.78%. Multivariate logistic regression analysis revealed that males are more likely to develop moderate and severe anxiety. The development of severe anxiety (OR = 0.562, p < 0.05) is less likely for students in schools with adequate mental health support. Students who were confident with their academic performances were less likely to develop moderate anxiety (OR = 0.377, p < 0.05). Students with extreme academic pressure are more likely to develop moderate anxiety (OR = 6.523, p < 0.05) and severe anxiety (OR = 11.579, p < 0.05). It is recommended that mental health counseling be set up in schools and to provide professional counselors to prevent serious anxiety for students. This paper also demonstrates a need to reduce students’ academic pressure.


2013 ◽  
Vol 32 (1) ◽  
pp. 78-99 ◽  
Author(s):  
Collin Webster ◽  
Diana Mîndrilă ◽  
Glenn Weaver

Affective learning is a major focus of the national K-12 physical education (PE) content standards (National Association for Sport and Physical Education [NASPE, 2004]). Understanding how students might fit into different affective learning subgroups would help extend affective learning theory in PE and suggest possible intervention strategies for teachers wanting to increase students’ affective learning. The present study used cluster analysis (CA) and latent profile analysis (LPA) to develop a two-level affective learning-based typology of high school students in compulsory PE from an instructional communication perspective. The optimal classification system had ten clusters and four latent profiles. A comparison of students’ class and cluster memberships showed that the two classification procedures yielded convergent results, thus suggesting distinct affective learning profiles. Students’ demographic and biographical characteristics, including gender, race, body mass index, organized sport participation, and free time physical activity, were helpful in further characterizing each profile.


2010 ◽  
Vol 111 (1) ◽  
pp. 11-19
Author(s):  
Shelly Sheats Harkness ◽  
Iris DeLoach Johnson ◽  
Billy Hensley ◽  
James A. Stallworth

2018 ◽  
Vol 46 (5) ◽  
pp. 583-598 ◽  
Author(s):  
Sarah L. Ferguson ◽  
Darrell M. Hull

The present study evaluates high school juniors and seniors ( n = 295) to explore their preference for science as indicated by science motivation, attitude, academic experience, and interest. Latent profile analysis was used to model profiles of preferences for science with a person-centered approach. Then, the impact of self-concept variables was explored and four profiles of science interest were identified. Gender differences were of particular interest due to concerns noted in the literature, and some gender differences were identified in the present study. Covariate analysis indicated vocabulary ability and personality as significantly different for students in the high science interest profile. Implications of these results and future research directions are discussed.


Author(s):  
Katharina Schnitzler ◽  
Doris Holzberger ◽  
Tina Seidel

Abstract Student participation and cognitive and emotional engagement in learning activities play a key role in student academic achievement and are driven by student motivational characteristics such as academic self-concept. These relations have been well established with variable-centered analyses, but in this study, a person-centered analysis was applied to describe how the different aspects of student engagement are combined within individual students. Specifically, we investigated how the number of hand-raisings interacts with student cognitive and emotional engagement in various engagement patterns. Additionally, it was analyzed how these engagement patterns relate to academic self-concept as an antecedent and achievement as an outcome. In an empirical study, high school students (N = 397) from 20 eighth-grade classrooms were surveyed and videotaped during one mathematics school lesson. The design included a pre- and post-test, with the videotaping occurring in between. Five within-student engagement patterns were identified by latent profile analysis: disengaged, compliant, silent, engaged, and busy. Students with higher academic self-concept were more likely to show a pattern of moderate to high engagement. Compared with students with low engagement, students with higher engagement patterns gained systematically in end-of-year achievement. These findings illustrate the power of person-centered analyses to illuminate the complexity of student engagement. They imply the need for differentiation beyond disengaged and engaged students and bring along the recognition that being engaged can take on various forms, from compliant to busy.


Author(s):  
Chiara Malagoli ◽  
Carlo Chiorri ◽  
Laura Traverso ◽  
Maria Carmen Usai

AbstractThe Impulsivity/Reflexivity issue in inhibitory control ability has seldom been investigated in terms of individual differences in typically developing populations. Although there is evidence of changes in executive functioning (EF), including inhibition, in adolescence, very little is known about the role of individual differences. Using the data from 240 14-to-19-year-old high school students who completed a battery of EF tasks (Flanker, Go No-Go, Antisaccade, and Stop signal task), measures of emotion regulation strategies and behavioral difficulties, we performed a latent profile analysis to identify qualitatively distinct score profiles. The results showed the existence in adolescence of two inhibition profiles, Impulsive vs Reflexive, differing in performances at the inhibition tasks. The two profiles were not associated with socio-demographic characteristics, or to psychological variables, such as behavioral characteristics and emotional regulation strategies.


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