scholarly journals Discovery Orientation, Cognitive Schemas, and Disparities in Science Identity in Early Adolescence

2017 ◽  
Vol 61 (1) ◽  
pp. 99-125 ◽  
Author(s):  
Patricia Wonch Hill ◽  
Julia McQuillan ◽  
Amy N. Spiegel ◽  
Judy Diamond
Keyword(s):  
Middle School ◽  
Low Income ◽  
Structural Equation ◽  
Ethnically Diverse ◽  
Positive Association ◽  
The United States ◽  
Equation Model ◽  
Science Identity ◽  
Science Interest ◽  
Reflected Appraisal

Why are some youth more likely to think of themselves as a science kind of person than others? In this paper, we use a cognitive social-theoretical framework to assess disparities in science identity among middle school–age youth in the United States. We investigate how discovery orientation is associated with science interest, perceived ability, importance, and reflected appraisal, and how they are related to whether youth see themselves, and perceive that others see them, as a science kind of person. We surveyed 441 students in an ethnically diverse, low-income middle school. Gender and race/ethnicity are associated with science identity but not with discovery orientation. Structural equation model results show that the positive association between discovery orientation and science identity is mediated by science interest, importance, and reflected appraisal. These findings advance understanding of how science attitudes and recognition may contribute to the underrepresentation of girls and/or minorities in science.

Selection into, and academic benefits from, arts-related courses in middle school among low-income, ethnically diverse youth.

2020 ◽  
Vol 14 (4) ◽  
pp. 415-432 ◽  
Author(s):  
Adam Winsler ◽  
Taylor V. Gara ◽  
Alenamie Alegrado ◽  
Sonia Castro ◽  
Tanya Tavassolie
Keyword(s):  
Middle School ◽  
Low Income ◽  
Ethnically Diverse ◽  
Academic Benefits ◽  
Diverse Youth

Stepfamily Closeness and Depression Among American Indian Emerging Adults: A Structural Equation Modeling Approach

2018 ◽  
Vol 40 (3) ◽  
pp. 267-292 ◽  
Author(s):  
Kaitlin P. Ward ◽  
Gordon E. Limb ◽  
Sarah Higbee ◽  
Helena Haueter
Keyword(s):  
American Indian ◽  
Emerging Adults ◽  
American Indians ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Equation Modeling ◽  
Racial Groups ◽  
Biological Parent ◽  
Parent Child

Stepfamilies are one of the fastest growing family structures among all racial groups in the United States. Stepfamily research among many racial groups, specifically American Indians, is virtually nonexistent. This is unfortunate, as American Indians are more likely to divorce and remarry compared with other populations. From a family systems perspective, this study examined whether retrospectively perceived closeness in three stepfamily relationships, namely child–residential biological parent, child–residential stepparent, and child–stepsibling, were negatively associated with depression scores in 226 American Indian emerging adults. A structural equation model showed that increased child–residential biological parent and child–stepsibling closeness predicted decreased depression scores, whereas child–residential stepparent closeness did not. We also found that depression scores significantly predicted retrospective perceptions of child–residential biological parent, child–residential stepparent, and child–stepsibling closeness. Findings encourage interventions that strengthen American Indian child–residential biological parent and child–stepsibling relationships, and underscore the need for further research that explores American Indian stepfamily relationships.

What Makes Families Healthy? Examining Correlates of Family Health in a Nationally Representative Sample of Adults in the United States

2021 ◽  
pp. 0192513X2110428
Author(s):  
Quenla Haehnel ◽  
Caitlin Whitehead ◽  
Eliza Broadbent ◽  
Carl L. Hanson ◽  
AliceAnn Crandall
Keyword(s):  
Physical Activity ◽  
Executive Functioning ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Family Health ◽  
The United States ◽  
Equation Model ◽  
Social And Emotional ◽  
Health Measure ◽  
Nationally Representative

Conceptually, family health is crucial for individual health across the lifespan, yet previous research has lacked a validated family health measure. The current study examines the relationships between individual physical (physical activity) and mental health (depressive symptoms and executive functioning) and social determinants of health (socioeconomic status) with four domains of family health using a recently validated family health measure. The sample included 1050 US adults (40.30 years; 53.78% female) that completed a survey. The results of the structural equation model revealed that depression was associated with reduced family health across all domains. Executive functioning was associated with better family social and emotional processes and family healthy lifestyle. Physical activity was associated with improved family healthy lifestyle only. Income was positively associated with each domain, but subjective SES was not associated with any domain. The findings indicate the interconnectedness of family health and individual factors, particularly with depression and wealth.

Constructing Structural Equation Model Rule-Based Fuzzy System with Genetic Algorithm

2016 ◽  
Vol 7 (2) ◽  
pp. 69-88 ◽  
Author(s):  
EnDer Su ◽  
Thomas W. Knowles ◽  
Yu-Gin Fen
Keyword(s):  
Genetic Algorithm ◽  
Risk Factor ◽  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Lower State ◽  
Inference System ◽  
United States Dollar

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.

Psychographic Profiling of Adult Tobacco Users and Implications for Mediated Message Tailoring

2020 ◽  
pp. 089011712096719
Author(s):  
Danielle A. Duarte ◽  
Kelvin Choi
Keyword(s):  
Tobacco Use ◽  
Low Income ◽  
Structural Equation ◽  
Mail Survey ◽  
Tobacco Product ◽  
Equation Model ◽  
Cross Sectional ◽  
Media Campaigns ◽  
Message Tailoring ◽  
Product Use

Purpose: To investigate variations of psychographic profiles in adult tobacco users to inform message tailoring. Design: A cross-sectional design used data from the Simmons 2015 National Consumer Study. Setting: Data were voluntarily provided by US families through a mail survey on media, products, and services, brands, and attitudes. Subjects: US adult tobacco users (N = 4,609). Measures: Participants answered questions about general opinion/attitudes and provided demographic and tobacco use information. Analysis: A factor analysis was conducted to determine the “best” latent psychographic factor structure based on model fit, factor loadings, and interpretability. A structural equation model was then applied to assess the associations between demographics, tobacco product use, and latent psychographic factors. Results: We identified 9 latent psychographic factors: (1) helplessness, (2) happiness, (3) achievements, (4) religion, (5) interest in art and culture, (6) conscience, (7) conformity, (8) family indulgence, and (9) creativity. Endorsement of these factors varied by demographics and tobacco product use. E.g. low income tobacco users showed stronger endorsement for “helplessness” (Adjusted Standardized Regression Coefficient [ASRC]: 0.42; 95% CI: 0.33, 0.51) and “religion” (ASRC: 0.24; 95% CI: 0.14, 0.33). Less educated tobacco users showed stronger endorsement for “conformity” (ASRC: 0.16; 95% CI: 0.07, 0.24). Young adults had significant positive associations for “achievements” (ASRC: 0.57; 95% CI: 0.48, 0.67). Conclusion: Psychographic profiles of tobacco users vary by demographics and product use. Tailored anti-tobacco media campaigns to specific disparity groups matching their psychographic profiles may improve message effectiveness and reduce tobacco use disparities.

scholarly journals A Mediation and Moderation Model of Social Support, Relationship Quality and Social Commerce Intention

2020 ◽  
Vol 12 (23) ◽  
pp. 9889
Author(s):  
Md. Alamgir Hossain ◽  
Nusrat Jahan ◽  
Minho Kim
Keyword(s):  
Social Support ◽  
Relationship Quality ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Mediating Effect ◽  
Mediation Effect ◽  
Social Commerce ◽  
Moderation Effect ◽  
The Social

This study examines the antecedents of social commerce intention by conceptualizing a model that includes two exogenous variables; relationship quality and social support, and an endogenous variable; social commerce, along with a mediation effect of relationship quality and moderation effect of cultures. This research model is tested by survey data collected in the United States and Korea, analyzed by a structural equation model. The results reveal that relationship quality generates the social commerce intention through commitment, satisfaction and trust, and becomes a maiden study with its mediating effect on social commerce intention. Social commerce intention is highly representative of social sharing and social shopping on social media. The social support is measured through emotional and informational support, proving to be a stronger predictor of relationship quality and social commerce intention. In addition, social support articulates differences in respect to the cultural differences. The model offers valuable insights to researchers and practitioners that aims to improve social commerce intention.

scholarly journals Improvements in Neighborhood Socioeconomic Conditions May Improve Resident Diet

2020 ◽  
Author(s):  
Andrea S Richardson ◽  
Rebecca L Collins ◽  
Madhumita Ghosh-Dastidar ◽  
Feifei Ye ◽  
Gerald P Hunter ◽  
...  
Keyword(s):  
Low Income ◽  
Structural Equation ◽  
Natural Experiment ◽  
Group Testing ◽  
Positive Association ◽  
Dietary Quality ◽  
Equation Modeling ◽  
Socioeconomic Conditions ◽  
Cross Sectional ◽  
Individual Level

Abstract Neighborhood socioeconomic conditions (NSEC) are associated with resident diet, but most research has been cross-sectional. We capitalize on a natural experiment where one neighborhood experienced substantial investments, compared to a sociodemographically similar neighborhood that did not, in order to examine pathways from neighborhood investments to changed NSEC and changed dietary behavior. We examine differences between renters and homeowners. Data are from a random sample of households (n=831) in each of these low-income Pittsburgh neighborhoods who were surveyed in 2011 and 2014. Structural equation modeling tested direct and indirect pathways from neighborhood to resident dietary quality, adjusting for individual-level sociodemographics, with multi-group testing by homeowners versus renters. Neighborhood investments were directly associated with improved dietary quality for both renters (β, 95% confidence interval [CI]) =0.27, CI: 0.05, 0.50) and homeowners (β=0.51, CI: 0.10, 0.92). Among renters, investments were also associated with dietary quality through a positive association with commercial prices (β= 0.34, CI: 0.15, 0.54) and a negative association with residential prices (β=-0.30, CI: -0.59, -0.004). Among homeowners, we did not observe any indirect pathways from investments to dietary quality through tested mediators. Investing in neighborhoods may support resident diet, doing so through improvements in neighborhood commercial environments for renters, but mechanisms appear to differ for homeowners.

scholarly journals Perceived Barriers to Recommended Diet and Physical Activity Patterns Among Ethnically Diverse Middle School Students

2007 ◽  
Vol 5 (4) ◽  
pp. 21-31 ◽  
Author(s):  
Shaunna Carter ◽  
Cindy Wolff ◽  
Jean Schuldberg ◽  
Keiko Goto
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Middle School Students ◽  
Low Income ◽  
Ethnically Diverse ◽  
Peer Pressure ◽  
Perceived Barriers ◽  
School Students ◽  
Activity Promotion ◽  
Hmong Students

The purpose of this cross-sectional, descriptive study was to examine perceived barriers to the adoption of recommended dietary and physical activity behaviors in low income ethnically diverse middle school students. Respondents completed surveys in sixth and eighth grade (n=289): 37% (n=100) of whom were Hmong, 34% (n=92) White, and 18% (n=57) Non-Asian, Non-White (NANW). Chi square and ANOVA were used to test the hypothesis that there were significant differences in perceived barriers for the adoption of recommended dietary and physical activity behaviors among ethnic groups. At 46%, significantly more Hmong versus White (12%) and NANW (16%) students indicated that cost was a significant barrier to fruit and vegetable availability at home (p=.001). In addition, 51% of Hmong students versus 33% of White and 34% of NANW students indicated that peer pressure was a barrier to the consumption of fruits and vegetables (p=.002). At 33%, significantly fewer Hmong students reported meeting the guidelines for physical activity compared to White students (52%, p=.016). Furthermore, Hmong students believed that being physically active every day was less important to their family members compared to non-Hmong students (p=.004). These results indicate that there is a need for culturally specific nutrition education and physical activity promotion with a particular focus on reducing obstacles to the adoption of recommended dietary patterns and physical activity for Hmong middle school students.

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