Students With Specific Difficulties in Geometry: Exploring the TIMSS 2011 Data With Plausible Values and Latent Profile Analysis

This study analyzed the Trends in International Mathematics and Science Study 2011 data on fourth-grade U.S. students’ mathematics performance to answer four research questions: (a) How did U.S. students’ geometry performance compare with their performance on the other Mathematics subscales? (b) What were the patterns of student achievement among the Mathematics subscales? (c) Was there a group of students who demonstrated specific difficulties in geometry only? and (d) Which demographic variables contributed to students’ classification in the group with geometry difficulties? We found that (a) U.S. students’ performance was poorer on the Geometry subscale than on other Mathematics subscales; (b) using latent profile modeling, we identified a group of students with the lowest scores across all three Mathematics subscales who showed a significant discrepancy between geometry and the other subscales that did not exist within the high-achieving and average-achieving groups; and (c) gender, age, home language, race, and preference for mathematics and science significantly influenced the probability of being classified in the group with the lowest performance and the largest gap between Geometry and other Mathematics subscales. Implications for educational theory and practice are discussed.

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Striving for inclusion: evidence from China using a latent profile approach

Chinese Management Studies ◽

10.1108/cms-10-2020-0465 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jiaojiao Qu ◽

Shuming Zhao ◽

Yixuan Zhao

Keyword(s):

Latent Profile Analysis ◽

Profile Analysis ◽

Theory And Practice ◽

Organizational Leaders ◽

Content Type ◽

Highly Educated ◽

Starting Point ◽

Profile Approach ◽

Practical Implications ◽

Latent Profile

Purpose This study aims to identify profiles of inclusion in the workplace to provide evidence-based guidance to build an inclusive organization. Design/methodology/approach Latent profile analysis (LPA), a person-centred classification analytical tool, was applied to determine the subtypes of inclusion with Mplus 7.4, using two-wave data collected from 368 employees in 8 Chinese companies. Findings Three subgroups were identified: identity inclusion group (the highest level of inclusion, 34.0%), value inclusion group (the moderate level of inclusion, 47.5%) and low inclusion group (the lowest level of inclusion, 18.5%). The findings indicate that groups with male, aged and highly educated members, as well as members from developed areas generally tend to feel more included and greater inclusion relates to more favourable outcomes and fewer detrimental consequences. Research limitations/implications As this study was conducted only in China, the results may not be generalizable to non-Chinese contexts. Practical implications The results may help organizational leaders develop a deeper understanding of the significance and the crux of inclusion. To address the duality of workforce diversity, managers can take initiatives to create an inclusive organization. To achieve inclusion, managers should pay attention to ways of improving the perceptions of inclusion among all employees. Originality/value This is among the first studies to identify the variants in inclusion in China using LPA. It reveals the subtypes and characteristics of inclusion and can serve as a starting point to explore how to realize organizational inclusion in theory and practice.

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Predicting employee telecommuting preferences and job outcomes amid COVID-19 pandemic: a latent profile analysis

Current Psychology ◽

10.1007/s12144-021-02496-8 ◽

2021 ◽

Author(s):

Cafer Bakaç ◽

Jetmir Zyberaj ◽

James C. Barela

Keyword(s):

Job Satisfaction ◽

Work Engagement ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Self Regulation ◽

Personality Characteristics ◽

The Other ◽

Job Outcomes ◽

Work Related ◽

Latent Profile

AbstractIn this two-study research using latent profile analysis (LPA), we investigated intra-individual combinations of conscientiousness, autonomy, self-regulation, and extraversion. Based on these combinations, we designed profiles and explored telecommuting preferences and job outcomes of employees during the COVID-19 pandemic. In Study 1, we recruited 199 participants (77 females, ages ranging from 18 to 65). Results of this study revealed three profiles. One profile scored high on all of the variables and displayed preferences for working on-site more than the other profiles. Additionally, this profile showed higher work engagement, job satisfaction, and perceived productivity than the other two profiles. To validate these findings, we conducted a second study with a sample of 492 participants (169 females; age ranged from 18 to 65). The results yielded five profiles, one scoring high on all of the variables. Similar to Study 1, this profile exhibited higher work engagement, job satisfaction, and perceived productivity than the other four profiles. Individuals in this profile preferred to work on-site compared to individuals in other profiles. Our findings add to the research demonstrating the importance of personality characteristics for telecommuting preferences and work-related outcomes.

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Assessing Intervention Needs of Juvenile Probationers: An Application of Latent Profile Analysis to a Risk–Need–Responsivity Assessment Model

Criminal Justice and Behavior ◽

10.1177/0093854818796869 ◽

2018 ◽

Vol 46 (1) ◽

pp. 82-100 ◽

Cited By ~ 4

Author(s):

Christina A. Campbell ◽

William Miller ◽

Jordan Papp ◽

Ashlee R. Barnes ◽

Eyitayo Onifade ◽

...

Keyword(s):

Latent Profile Analysis ◽

Profile Analysis ◽

Demographic Variables ◽

Assessment Model ◽

Minority Status ◽

Youth Offenders ◽

Juvenile Probationers ◽

Risk Need Responsivity ◽

History Of ◽

Latent Profile

The assessment of criminogenic risk is critical in the prediction of future delinquency and the ability to provide appropriate services and interventions for youth offenders. The goal of this study was to determine whether using latent profile analysis (LPA) produced better risk classification profiles than traditional linear methods. Archival data were used to examine 1,263 male and female youth probationers. Criminogenic profiles were developed using the Youth Level of Service/Case Management Inventory, a widely used juvenile risk assessment. LPA determined that there were three distinct profiles: Minimal Intervention Needs, Social Behavior and Social Bonding Needs, and Maximum Intervention Needs. The profiles that youth fit into differed across demographic variables such as gender, age, recidivism, and history of child maltreatment, but not minority status and offense type. This research may aid in addressing specific intervention needs of offenders.

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A Latent Profile Analysis of Student Restudy Decisions - under review

10.31234/osf.io/as83x ◽

2019 ◽

Author(s):

Alison Robey

Keyword(s):

Cluster Model ◽

Latent Profile Analysis ◽

Cross Validation ◽

Current Knowledge ◽

Profile Analysis ◽

Auxiliary Variable ◽

The Other ◽

Fit Indices ◽

Almost All ◽

Latent Profile

Do all learners make the same restudy decisions, or is there heterogeneity within the population? The present study combines three previously published datasets and uses latent profile analysis to determine if subpopulations of learners can be identified that make different restudy decisions. Based on multiple fit indices, cross-validation, and theoretical consideration, a 4-cluster model was selected. Two clusters of learners differentiate items based on their current knowledge focusing on either known or unknown items for restudy, whereas two clusters do not distinguish between known and unknown items and instead choose to restudy almost all or almost known of the items, regardless of whether they were retrieved correctly. Additional auxiliary variable analyses revealed that learners who chose to focus their restudy on unknown information make more accurate restudy decisions than the other clusters. Implications for future exploration of student restudy decisions and the need to explore heterogeneity are discussed.

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Beyond the Liberal–Conservative Binary: Generosity, Religion, and a Latent Profile Analysis of Moral Foundations in a Christian Sample

American Behavioral Scientist ◽

10.1177/0002764219850867 ◽

2019 ◽

Vol 63 (14) ◽

pp. 1938-1964 ◽

Cited By ~ 1

Author(s):

Tyler S. Greenway ◽

Joel Jin ◽

Abigail M. Shepherd ◽

Sarah A. Schnitker

Keyword(s):

Political Ideology ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The Other ◽

Religious Fundamentalism ◽

Moral Foundations ◽

Christian Church ◽

Charitable Organization ◽

Latent Profile Analyses ◽

Latent Profile

This study conducted an experiment to examine the associations between moral foundations profiles, religion, and generosity ( N = 313). Previously identified profiles were replicated with latent profile analyses based on the Moral Foundations Questionnaire (MFQ). Four MFQ profiles (Neutral, High Moralist, Moderate, and Individuator) were identified in this study of Christian church attenders. Significant differences across these four profiles are associated with distinctions in generosity, some components of empathy, religiousness, and political ideology. Compared with the other three profiles, individuals with the Individuator profile donated more of their participant payment to a charitable organization run by a religious out-group (Muslims). In contrast, there were no differences between profiles on donations to the in-group, secular groups, or total donations. Religious fundamentalism was lowest among Individuators and highest among High Moralists, the latter of whom also reported higher interpersonal generosity than Moderates.

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