Latent profile analysis of ethical consumers in the United States and Malaysia

How science and technology attitudes vary across the United States, China, South Korea and Japan – all of which top Bloomberg’s list of high-tech centralization – is explored through data from the sixth wave of the World Values Survey (2010–2014). The following study examines the presence of different types of attitudinal groups using latent profile analysis. Not only do unique attitudinal groups exist in each country, but each group is uniquely influenced by select demographic characteristics, including education, age, gender, religiosity, employment status and individual interaction with technology. The findings provide insight into public attitudes towards science and technology across social and cultural contexts and generate nuanced understandings of similar and different attitudinal groups in East Asia and the United States.

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Individual- and School-level Predictors of Latent Profiles of Bullying Victimization: Comparing South Korea and the United States

Journal of Interpersonal Violence ◽

10.1177/0886260521997950 ◽

2021 ◽

pp. 088626052199795

Author(s):

Yoonsun Han ◽

Shinhye Lee ◽

Eunah Cho ◽

Juyoung Song ◽

Jun Sung Hong

Keyword(s):

United States ◽

South Korea ◽

Social Disorganization ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The United States ◽

School Level ◽

Social Disorganization Theory ◽

Bullying Victimization ◽

Latent Profiles

This cross-national research investigated nationally representative adolescents from South Korea and the United States, explored similarities and differences in latent profiles of bullying victimization between countries, and examined individual- and school-level variables that predict such latent profiles supported by the Social Disorganization Theory. The fourth-grade sample of the 2015 Trends in International Mathematics and Science Study from South Korea ( N = 4,669) and the United States ( N = 10,029) was used to conduct a latent profile analysis based on eight items of the bullying victimization questionnaire. Multilevel logistic regression was conducted using latent profiles as dependent variables. Independent variables include individual-level (material goods, school absence, academic interest, school belonging) and school-level (concentration of affluent families, school resources, the severity of delinquency, academic commitment) factors. More similarities existed than differences in the latent groups of bullying victimization between South Korea ( rare, low-moderate, verbal-relational-physical, and multi-risk) and the United States ( rare, low-moderate, verbal-relational, and multi-risk). Evidence for school-level variables as predictors of bullying victimization profiles was stronger for adolescents in the United States, with a concentration of affluent families and severity of delinquency being significant in four of the six models. For the South Korean sample, the severity of delinquency predicted bullying victimization in only one model. Examination of both individual- and school-level factors that predict unique bullying victimization experiences grounded in Social Disorganization Theory may be informative for addressing key areas of intervention—especially at the school-level context in which victimization primarily takes place and where anti-bullying intervention programs are often provided.

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Typologies of Family Functioning and 24-Hour Movement Behaviors

10.21203/rs.3.rs-48988/v1 ◽

2020 ◽

Author(s):

Michelle Guerrero ◽

Joel Barnes ◽

Mark Tremblay ◽

Laura Pulkki-Råback

Keyword(s):

Family Functioning ◽

Family Environment ◽

Parental Monitoring ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The United States ◽

Movement Behavior ◽

Cross Sectional ◽

Family Typologies ◽

Latent Profile

Abstract Objective: The purpose of the current study was to use latent profile analysis to identify family typologies characterized by parental acceptance, parental monitoring, and family conflict, and to examine whether such typologies were associated with the number of movement behavior recommendations (i.e., physical activity, screen time, and sleep) met by children. Methods: Data for this cross-sectional observational study were part of the baseline data from the Adolescent Brain Cognitive Development (ABCD) study. Data were collected from September 1, 2016 to September 15, 2018, across 21 study sites in the United States. Participants included 11,875 children aged 9 and 10 years. Results: Results from latent profile analysis showed that children were meaningfully classified into one of five family typologies, ranging from ideal (high acceptance, high monitoring, and low conflict) to poor (medium acceptance, low monitoring, and high conflict) functioning. Children from good (OR= 0.54; 95% CI, 0.39-0.76), average (OR=0.28; 95% CI, 0.20, 0.40), fair (OR=0.24; 95% CI, 0.16, 0.36), and poor (OR=0.19; 95% CI, 0.12-0.29) functioning families were less likely to meet all three movement behavior recommendations compared to children from ideal functioning families. The odds of meeting all recommendations progressively decreased as family functioning worsened. Similar findings and pattern of results were found for meeting ≥2 recommendations and ≥1 recommendation. Conclusions: These findings highlight the importance of the family environment for promoting healthy movement behaviors among children.

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Why Who Cleans Counts

10.1332/policypress/9781447336747.001.0001 ◽

2020 ◽

Cited By ~ 1

Author(s):

Shannon Davis ◽

Theodore Greenstein

Keyword(s):

United States ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The United States ◽

Power Dynamics ◽

Latent Trajectory ◽

Level Data ◽

High Workload ◽

Childhood Home ◽

Over Time

While housework is an often-studied phenomenon, Why Who Cleans Counts frames the performance of housework as a way to understand power dynamics within couples. Using couple-level data from the United States-based National Survey of Families and Households (N = 3,906), we perform Latent Profile Analysis to identify five categories, or classes, of couples: Ultra-traditional, Traditional, Transitional Husbands, Egalitarian, and Egalitarian High Workload. The book describes how the housework classes and the behaviors of the couples within them reveal the power dynamics within the couples, power dynamics that center around gendered norms. Using Latent Trajectory Analysis, we follow the couples over time to examine change and stability in their housework performance; their behavior over time also reveals the use of power in their relationships. Finally, we examine the reported housework time of the adult children of the NSFH couples to determine the extent to which the power dynamics experienced in one’s childhood home shapes one’s own adult gendered performance of housework. The book concludes with suggestions for how practitioners and scholars might use the book’s findings given the changing demographics of the United States.

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Identifying Effective Mentors in Scientific Communication: A Latent Profile Analysis of Mentor Beliefs

Journal of Career Development ◽

10.1177/0894845320924127 ◽

2020 ◽

pp. 089484532092412 ◽

Cited By ~ 1

Author(s):

Cheryl B. Anderson ◽

Shine Chang ◽

Hwa Young Lee ◽

Constance D. Baldwin

Keyword(s):

Latent Profile Analysis ◽

Profile Analysis ◽

Academic Research ◽

Scientific Communication ◽

The United States ◽

Perceived Barriers ◽

Physician Scientist ◽

Problem Solvers ◽

Research Faculty ◽

Latent Profile

The need to specifically mentor graduate and medical students performing biomedical and biobehavioral research in communication skills is increasingly being highlighted to increase intention to pursue academic research careers, including physician–scientist careers. This study used data collected from 354 research faculty in 33 states across the United States to examine beliefs and perceived barriers about mentoring in scientific communication (writing, presenting, and informal discussion about science), with the goal of advancing evidence-based recommendations for mentoring interventions. Latent profile analysis identified four mentor profiles, based on beliefs regarding mentoring responsibility, expected outcomes, and barriers in scientific communication mentoring. Problem solvers, who acknowledged trainee problems but reported high efficacy in overcoming them, offered the highest levels of supportive and instructive mentoring. Since mentoring messages and actions influence trainee career development significantly, our results have important implications for faculty development to advance effective mentoring, especially in scientific communication.

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Profiles of Risk for Suicidal Behavior in Past and Current United States Military Personnel: Latent Profile Analysis of Current Risk Factors

Archives of Suicide Research ◽

10.1080/13811118.2018.1506843 ◽

2018 ◽

Vol 24 (1) ◽

pp. 1-17 ◽

Cited By ~ 1

Author(s):

Nicholas P. Allan ◽

Jill Holm-Denoma ◽

Kenneth R. Conner ◽

Kelly L. Zuromski ◽

Kevin G. Saulnier ◽

...

Keyword(s):

United States ◽

Risk Factors ◽

Suicidal Behavior ◽

Military Personnel ◽

Latent Profile Analysis ◽

Profile Analysis ◽

United States Military ◽

Current Risk ◽

Latent Profile

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Typologies of Family Functioning and 24-h Movement Behaviors

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18020699 ◽

2021 ◽

Vol 18 (2) ◽

pp. 699

Author(s):

Michelle D. Guerrero ◽

Joel D. Barnes ◽

Mark S. Tremblay ◽

Laura Pulkki-Råback

Keyword(s):

Family Environment ◽

Parental Monitoring ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The United States ◽

Movement Behavior ◽

High Conflict ◽

The Family ◽

Family Typologies ◽

Latent Profile

Research on the importance of the family environment on children’s health behaviors is ubiquitous, yet critical gaps in the literature exist. Many studies have focused on one family characteristic and have relied on variable-centered approaches as opposed to person-centered approaches (e.g., latent profile analysis). The purpose of the current study was to use latent profile analysis to identify family typologies characterized by parental acceptance, parental monitoring, and family conflict, and to examine whether such typologies are associated with the number of movement behavior recommendations (i.e., physical activity, screen time, and sleep) met by children. Data for this cross-sectional observational study were part of the baseline data from the Adolescent Brain Cognitive Development (ABCD) study. Data were collected across 21 study sites in the United States. Participants included 10,712 children (female = 5143, males = 5578) aged 9 and 10 years (M = 9.91, SD = 0.62). Results showed that children were meaningfully classified into one of five family typologies. Children from families with high acceptance, medium monitoring, and medium conflict (P2; OR = 0.54; 95% CI, 0.39–0.76); high acceptance, medium monitoring, and high conflict (P3; OR = 0.28; 95% CI, 0.20, 0.40); low acceptance, low monitoring, and medium conflict (P4; OR = 0.24; 95% CI, 0.16, 0.36); and medium acceptance, low monitoring, and high conflict (P5; OR = 0.19; 95% CI, 0.12–0.29) were less likely to meet all three movement behavior recommendations compared to children from families with high acceptance, high monitoring, and low conflict (P1). These findings highlight the importance of the family environment for promoting healthy movement behaviors among children.

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Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis (Preprint)

10.2196/preprints.27000 ◽

2021 ◽

Author(s):

Cecilia Cheng ◽

Omid V Ebrahimi ◽

Jeremy W Luk

Keyword(s):

Mental Health ◽

Social Media ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The United States ◽

Lower Sensitivity ◽

Predictive Values ◽

Classification Schemes ◽

Social Media Addiction ◽

Latent Profile

BACKGROUND As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public. OBJECTIVE The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses. The associations between social media addiction and 2 comorbid mental health conditions—depression and anxiety—were investigated. METHODS A cross-sectional web-based survey was conducted, and the replicability of findings was assessed in 2 independent samples comprising 573 adults from the United Kingdom (261/573, 45.6% men; mean age 43.62 years, SD 12.24 years) and 474 adults from the United States (224/474, 47.4% men; mean age 44.67 years, SD 12.99 years). The demographic characteristics of both samples were similar to those of their respective populations. RESULTS The prevalence estimates of social media addiction varied across the classification schemes, ranging from 1% to 15% for the UK sample and 0% to 11% for the US sample. The latent profile analysis identified 3 latent groups for both samples: low-risk, at-risk, and high-risk. The sensitivity, specificity, and negative predictive values were high (83%-100%) for all classification schemes, except for the relatively lower sensitivity (73%-74%) for the polythetic scheme. However, the polythetic scheme had high positive predictive values (88%-94%), whereas such values were low (2%-43%) for the other 3 classification schemes. The group membership yielded by the polythetic scheme was largely consistent (95%-96%) with that of the benchmark. CONCLUSIONS Among the classification schemes, the polythetic scheme is more well-balanced across all 4 indices.

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The Dynamic Universal Profiles of Spiritual Awareness: A Latent Profile Analysis

Religions ◽

10.3390/rel11060288 ◽

2020 ◽

Vol 11 (6) ◽

pp. 288

Author(s):

Simon Hanseung Choi ◽

Clayton Hoi-Yun McClintock ◽

Elsa Lau ◽

Lisa Miller

Keyword(s):

Spiritual Development ◽

Latent Profile Analysis ◽

Developmental Process ◽

Profile Analysis ◽

Community Sample ◽

The United States ◽

Two Dimensions ◽

Clinical Samples ◽

Spiritual Engagement ◽

Latent Profile

The aim of the current investigation was to identify universal profiles of lived spirituality. A study on a large sample of participants (N = 5512) across three countries, India, China, and the United States, suggested there are at least five cross-cultural phenotypic dimensions of personal spiritual capacity—spiritual reflection and commitment; contemplative practice; perception of interconnectedness; perception of love; and practice of altruism—that are protective against pathology in a community sample and have been replicated in matched clinical and non-clinical samples. Based on the highest frequency combinations of these five capacities in the same sample, we explored potentially dynamic profiles of spiritual engagement. We inductively derived five profiles using Latent Profile Analysis (LPA): non-seeking; socially disconnected; spiritual emergence; virtuous humanist; and spiritually integrated. We also examined, in this cross-sectional data, covariates external to the LPA model which measure disposition towards meaning across two dimensions: seeking and fulfillment, of which the former necessarily precedes the latter. These meaning covariates, in conjunction with cross-profile age differences, suggest the profiles might represent sequential phases along an emergent path of spiritual development. Subsequent regression analyses conducted to predict depression, anxiety, substance-related disorders, and positive psychology based on spiritual engagement profiles revealed the spiritually integrated profile was most protected against psychopathology, while the spiritual emergence profile was at highest risk. While this developmental process may be riddled with struggle, as evidenced by elevated rates of psychopathology and substance use in the intermediate phases, this period is a transient one that necessarily precedes one of mental wellness and resilience—the spiritual development process is ultimately buoyant and protective.

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Unequal Higher Education in the United States: Growing Participation and Shrinking Opportunities

Social Sciences ◽

10.3390/socsci7090167 ◽

2018 ◽

Vol 7 (9) ◽

pp. 167 ◽

Cited By ~ 3

Author(s):

Barrett Taylor ◽

Brendan Cantwell

Keyword(s):

Higher Education ◽

United States ◽

Latent Profile Analysis ◽

Profile Analysis ◽

The United States ◽

Diverse Group ◽

Public And Private ◽

Individual Level ◽

Limited Opportunity ◽

Over Time

This paper argues that rising institutional inequality is a component of individual-level inequality in the United States because U.S. higher education provides a diverse group of students with unequal access to different kinds of institutions. Using latent profile analysis, we classified all public and private nonprofit higher education institutions in the U.S. from 2005 to 2013 into seven categories. We held these categories stable over time and allowed institutions to move between them. “Good value” institutions were scarce and tended to limit access through selective admission. Only Subsidy Reliant institutions that were directly supported by government appropriations regularly provided good value seats to a racially diverse group of students. Yet the number of institutions in the Subsidy Reliant category declined markedly over time. The resulting system offered access to many students but provided limited opportunity to secure a good value seat.

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