Researching multiple publics through latent profile analysis: Similarities and differences in science and technology attitudes in China, Japan, South Korea and the United States

2018 ◽  
Vol 28 (2) ◽  
pp. 130-145 ◽  
Author(s):  
Ashley Pullman ◽  
Michelle Y. Chen ◽  
Danjie Zou ◽  
Benjamin A. Hives ◽  
Yan Liu
Keyword(s):  
United States ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Public Attitudes ◽  
Science And Technology ◽  
The United States ◽  
High Tech ◽  
Technology Attitudes ◽  
Latent Profile

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.

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

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.

scholarly journals Typologies of Family Functioning and 24-Hour Movement Behaviors

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.

Gender Differences in Suicide Rates of Municipalities in South Korea

Crisis ◽  
2021 ◽  
Author(s):  
Kyu-Hyoung Jeong ◽  
Seungjong Cho
Keyword(s):  
Gender Differences ◽  
Life Cycle ◽  
South Korea ◽  
Suicide Rate ◽  
Urban Areas ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Group Method ◽  
Suicide Rates ◽  
Latent Profile

Abstract. Background: South Korea showed the highest suicide rate among the countries in the Organization for Economic Cooperation and Development. Aims: This study aimed to discern the profiles of municipalities according to their suicide rates across the life cycle and gender, and then to identify the unique characteristics of each latent group. Method: This study applied a latent profile modeling to categorize the regions by life cycle suicide rates of their residents. The latent profile analysis (LPA) yielded four latent groups for males and three groups for females. This study explored the unique characteristics of 250 municipalities by latent groups with these groups. Results: The results suggested significant gender differences in the characteristics of localities. For the high adolescent suicide rates groups, there was a higher proportion of urban areas among males while there was a higher proportion of rural regions among females. Limitations: This study analyzed secondary data of municipalities, so the characteristics of each profile of suicide rate could only be identified within this existing data. Conclusions: This paper is one of the first studies to apply the LPA to different latent profiles by life cycle suicide rates.

Why Who Cleans Counts

2020 ◽  
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.

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

2020 ◽  
pp. 089484532092412 ◽  
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.

scholarly journals Work–Family Balance among Dual-Earner Couples in South Korea: A Latent Profile Analysis

2021 ◽  
Vol 18 (11) ◽  
pp. 6129
Author(s):  
Sun-Young Ji ◽  
Hye-Sun Jung
Keyword(s):  
Social Support ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Good Health ◽  
High Gain ◽  
Family Balance ◽  
Work Family Balance ◽  
Work Family ◽  
Latent Profile

The declining birth rate in South Korea is concerning and linked to stress in the work–family balance, which is known to affect family planning. Therefore, providing proper support to double-earner couples might help improve the fertility rate. Work–family balance refers to the ability of individuals to perform their roles at work and home with equal involvement. This study identifies two aspects: gains and strains. Latent profile analysis is employed to create a typology that can account for the diversity in work–family balance. This approach is person-centered rather than variable-centered, and it identifies clusters of individuals that differ qualitatively, thereby examining the strains and gains experienced by double-earner couples. We classify the types of work–family balance and identify the attributes of each profile. The findings showed that men were more likely to belong to the high-gain class when they had a temporary position, multiple children, good health, low depression, higher life satisfaction levels, and strong social support. Women were more likely to belong to the high-gain class when they experienced high happiness levels and strong social support. Based on these profiles, we provide recommendations to enhance work–family balance, thereby contributing to strategies to overcome low birth rates.

scholarly journals Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea

2021 ◽  
Vol 18 (23) ◽  
pp. 12374
Author(s):  
Kang-Hyun Park ◽  
Eun-Young Yoo ◽  
Jongbae Kim ◽  
Ickpyo Hong ◽  
Jae-Shin Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Large Distribution ◽  
Latent Profile

This study aimed to examine the multi-faceted lifestyle profiles of community-dwelling middle- and older-aged adults based on their physical activity, participation in various activities, and nutrition. It identified the association of lifestyle profiles with demographic variables, quality of life, and mental health. The analysis included 569 participants (mean age = 60.2; SD = 4.3). Latent profile analysis identified three distinctive lifestyle profiles: “inactive and unbalanced” (36.4%), “basic life maintenance” (54.6%), and “active and balanced” (9.1%). Sex (p < 0.001), age (p < 0.001), and regular medication intake (p < 0.01) were statistically significantly different among the three profiles. Of the “inactive and unbalanced” lifestyle group, 63.3% of it was comprised of by females, and a relatively large distribution was aged over 65. In the “basic life maintenance” subgroup, males showed a relatively large distribution, and 92.6% of participants were aged 55–64. People with active and balanced lifestyles demonstrated high quality of life levels (p < 0.001) and low loneliness levels (p < 0.01). Multinomial logistic regression revealed a statistically significant positive association between lifestyle profiles and quality of life (p < 0.001) as well as mental health (p < 0.01). Therefore, health promotion that considers multi-faceted lifestyle factors would need to improve health and quality of life among community-dwelling middle- and older-aged adults in South Korea.

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