Clustering of Endorsements of Techniques of Neutralization as Predictors of Offending Among College Students: A Latent Profile Analysis Approach

2020 ◽  
pp. 073401682096216
Author(s):  
Thomas Wojciechowski

Past research has provided evidence that techniques of neutralization may be used to rationalize offending, and individuals who endorse such rationalizations demonstrate greater offending risk. However, there is a dearth of research focused on how the endorsement of multiple techniques of neutralization may cluster together within an individual. There is also little understanding of how different clusters predict offending risk. The present study utilized data from 248 undergraduate students. Latent profile analysis was utilized to identify unobserved clusters of stronger/weaker endorsement of techniques of neutralization. Logistic regression was utilized to model the impact of differential clustering to predict offending risk. Results indicated that a five-profile solution best fits the data (low, responsibility deniers, moderate, victim deniers, and high). Participants assigned to the high profile demonstrated elevated offending risk relative to participants assigned to any of the other profiles. Participants assigned to the high profile reported relatively high endorsement of all techniques of neutralization but especially appeal to higher loyalties and denial of injury. Identification of college students demonstrating endorsement of techniques of neutralization consistent with the high profile should be targeted for intervention. Mentoring programs that take a social learning theory approach may be useful in this regard.

2018 ◽  
Vol 76 (4) ◽  
pp. 483-498
Author(s):  
Soo Eun Chae ◽  
Mi-Suk Lee

Past research on higher-order thinking (HOT) was mainly conducted on the bases of educational context in U.S. or western countries. This research aimed to see what kinds of HOT styles actually appear in universtiy students in South Korea. The use of HOT skills were explored in Korean universtiy students and the factors influencing the classification were examined. 1,138 Korean university students were called to respond to Lee’s (2016) Higher-Order-Thinking-Scale for Korean University Students (HOTUS). Then, a latent profile analysis and the multinomial logistic analysis were conducted. The latent profile analysis revealed that the use of HOT skills could be classified into four classes (i.e., a lower-order thinking class, a creative-argumentative class, an analytical-caring class, and a higher-order thinking class). Gender, year, and instructional approach were the determinants of latent profile types. However, there were no differences when measured by academic fields. Students with lower years were likely to fall under lower-order thinking class. The probability that men was classified as a caring class was statistically significantly lower than that of women. Students who received lecturer-centered learning were more likely to fall under the analytical and caring class. Keywords: higher-order thinking skill, latent profile analysis, multinomial logistic analysis.


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.


2016 ◽  
Vol 88 (2) ◽  
pp. 234-257 ◽  
Author(s):  
Margarita Olivera-Aguilar ◽  
Samuel H. Rikoon ◽  
Steven B. Robbins

2020 ◽  
pp. 135910532093118
Author(s):  
Stephen M Leach ◽  
Amanda M Mitchell ◽  
Paul Salmon ◽  
Sandra E Sephton

This study utilized a latent profile analysis approach to examine the relationship between mindfulness profiles and self-reported mental and physical health, as well as salivary cortisol levels in a sample of 85 undergraduate students. Consistent with theory, the Judgmentally Observing (high monitoring, low acceptance) reported poorer mental health and exhibited flatter diurnal cortisol slopes than the Unobservant Accepting (low monitoring, high acceptance) and Average Mindfulness profiles. No differences in self-reported physical health, cortisol response to awakening, or diurnal mean cortisol were observed among the profiles. Future directions are discussed.


2015 ◽  
Vol 51 ◽  
pp. 100-105 ◽  
Author(s):  
Jennifer M. Cadigan ◽  
Matthew P. Martens ◽  
Keith C. Herman

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