The Process of “Pushing Out”: Accumulated Disadvantage across School Punishment and Math Achievement Trajectories

2021 ◽  
pp. 0044118X2110071
Author(s):  
Jason Jabbari ◽  
Odis Johnson
Keyword(s):  
High School ◽  
High School Students ◽  
Structural Equation ◽  
Math Achievement ◽  
Academic Failure ◽  
Drop Out ◽  
Policy Implications ◽  
Equation Modeling ◽  
School Students ◽  
Over Time

Students drop out of school for a variety of reasons, yet are “pushed out” when they exhibit traits that are deemed undesirable to school officials, such as misbehavior and academic failure. While much of the previous research on pushouts views the phenomenon as a discrete occurrence often attributed to either misbehavior or academic failure, we recognize the underlying relationships between punishment and achievement, and therefore conceptualize pushing out as a process of both disciplinary involvement and academic exclusion over time. Using structural equation modeling (SEM) with a nationally representative longitudinal study of high school students (HSLS-09), we find that significant relationships among punishment and math achievement (including math attitudes, ability, and course-taking) have the effect of pushing students out of high school over time. We note the importance of race and ethnicity within these relationships and close with a discussion of policy implications.

scholarly journals INSTRUMENT DEVELOPMENT OF HIGHER ORDER THINKING SKILL IN MATHEMATICS INSTRUCTIONAL ON SENIOR HIGH SCHOOL

2015 ◽  
Vol 1 (1) ◽  
pp. 65
Author(s):  
Benidiktus Tanujaya
Keyword(s):  
High School ◽  
High School Students ◽  
Instrument Development ◽  
Structural Equation ◽  
Standard Procedure ◽  
Higher Order Thinking ◽  
Higher Order ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
School Students

The purpose of this research was to develop an instrument that can be used to measure higher-order thinking skills (HOTS) in mathematics instructional of high school students. This research was conducted using a standard procedure of instrument development, from the development of conceptual definition, development of operational definitions, determination constructs, dimensions, and indicators, to the preparation of blue print, item preparation, expert validation, and testing. Data results from trials be analyzed using factor analysis and analysis of structural equation modeling (SEM). The data analysis shows that there are 9 factors HOTS that construct the instrument with good validity and reliability. This instrument classifies high school students in the five categories of HOTS ability. HOTS grouping results can be used by various interested institutions to evaluate the instructional of mathematics. These evaluations are used to determine the success of student learning and the success of teachers' teaching.

scholarly journals Social network usage, shame, guilt and pride among high school students: Model testing

2016 ◽  
Vol 13 (1) ◽  
pp. 1926
Author(s):  
Uğur Doğan ◽  
Eyüp Çelik ◽  
Yahya Karakaş
Keyword(s):  
High School ◽  
High School Students ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Equation Modeling ◽  
Fit Indices ◽  
School Students ◽  
Network Usage

This study was aimed at testing a model which applies structural equation modeling (SEM) to explain social networking sites (SNS) usage. Performing SEM with a sample of 500 high school students (40% male, 60% female), the model examined the relationships among shame, guilt and pride on SNS, such Facebook and Twitter. It was hypothesized that SNS usage was predicted directly by shame and indirectly by pride and guilt. The SEM showed that shame affected SNS usage directly and positively, while guilt and pride indirectly affected SNS via shame. The fit indices of SEM produced good fit values (χ2 = 0.11, df = 2, χ2/df = 0.055, p = 0.94532, RMSEA = 0.00, GFI = 1.00, AGFI = 1.00, NFI = 1.00, NNFI = 1.00, CFI = 1.00, IFI = 1.00, RMR = 0.039; SRMR = 0.0042). According to these results, high school students’ feelings of shame, guilt and pride are important predictors of SNS usage.

Grit is Associated with Lower Depression via Meaning in Life among Filipino High School Students

2018 ◽  
Vol 51 (6) ◽  
pp. 865-876 ◽  
Author(s):  
Jesus Alfonso D. Datu ◽  
Ronnel B. King ◽  
Jana Patricia M. Valdez ◽  
Maria Socorro M. Eala
Keyword(s):  
High School ◽  
High School Students ◽  
Psychological Health ◽  
Meaning In Life ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
School Students ◽  
Presence Of Meaning ◽  
Study Results

Grit—passion and perseverance for long-term goals—has been linked to a wide array of positive academic and psychological outcomes. However, limited research has been conducted to explore the association of grit with different indicators of well-being and psychological health. The primary objective of this study was to assess the associations among grit, meaning in life, and depression. There were 447 Filipino high school students who participated in the study. Results of structural equation modeling showed that grit was linked to higher levels of meaning in life dimensions (i.e., presence of meaning and search for meaning in life) and presence of meaning was associated with lower depression. Bias-corrected bootstrapping revealed that grit had an indirect negative influence on depression through the intermediate variable—presence of meaning in life. Theoretical and practical implications are elucidated.

Public/Catholic Differences in the High School and Beyond Data: A Multigroup Structural Equation Modeling Approach to Testing Mean Differences

1990 ◽  
Vol 15 (3) ◽  
pp. 199-235 ◽  
Author(s):  
Herbert W. Marsh ◽  
David Grayson
Keyword(s):  
High School ◽  
High School Students ◽  
Structural Equation ◽  
Educational Aspirations ◽  
College Attendance ◽  
Equation Modeling ◽  
Senior Year ◽  
School Students ◽  
Catholic High School ◽  
Mean Differences

Previous research based on the large, nationally representative High School and Beyond (HSB) study has compared senior year achievement test scores for public and Catholic high school students after controlling for background variables and sophomore year test scores. These analyses, however, were based on traditional applications of multiple regression with its implausible assumptions that variables are measured without error and that residuals are uncorrelated. The present study demonstrates tests for mean differences on latent constructs using the LISREL approach to multigroup structural equation modeling (SEM) for this substantively important issue. Public/Catholic differences, even after controlling for background and sophomore outcomes, favored Catholic high school students on senior year outcomes (achievement, educational aspirations, and academic course selection) and subsequent college attendance. These public/Catholic differences were similar for students differing in race, SES (social economic status), and initial ability. Public/Catholic differences in achievement, educational aspirations, and college attendance were, however, apparently mediated by the academic orientation of course selection. The flexibility and advantages—but also the limitations—of this multigroup SEM approach are discussed.

scholarly journals INSTRUMENT DEVELOPMENT OF HIGHER ORDER THINKING SKILL IN MATHEMATICS INSTRUCTIONAL ON SENIOR HIGH SCHOOL

2015 ◽  
Vol 1 (1) ◽  
pp. 65-74
Author(s):  
Benidiktus Tanujaya
Keyword(s):  
High School ◽  
High School Students ◽  
Instrument Development ◽  
Structural Equation ◽  
Standard Procedure ◽  
Higher Order Thinking ◽  
Higher Order ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
School Students

The purpose of this research was to develop an instrument that can be used to measure higher-order thinking skills (HOTS) in mathematics instructional of high school students. This research was conducted using a standard procedure of instrument development, from the development of conceptual definition, development of operational definitions, determination constructs, dimensions, and indicators, to the preparation of blue print, item preparation, expert validation, and testing. Data results from trials be analyzed using factor analysis and analysis of structural equation modeling (SEM). The data analysis shows that there are 9 factors HOTS that construct the instrument with good validity and reliability. This instrument classifies high school students in the five categories of HOTS ability. HOTS grouping results can be used by various interested institutions to evaluate the instructional of mathematics. These evaluations are used to determine the success of student learning and the success of teachers' teaching.

Sign in / Sign up

Export Citation Format

Share Document