scholarly journals Multilevel Analysis of Factors Associated with Left Behind Children in China

2020 ◽  
Vol 16 (10) ◽  
pp. 1
Author(s):  
Yasuo Miyazaki ◽  
Chenguang Du ◽  
Joanna Papadopoulos ◽  
Hongfei Du
Keyword(s):  
Rapid Development ◽  
Policy Implications ◽  
Nutrition Survey ◽  
Negatively Associated ◽  
Individual Level ◽  
Rural Workers ◽  
Left Behind ◽  
Urbanization In China ◽  
The Individual ◽  
Families With Children

With the rapid development of urbanization in China, a growing number of rural workers migrate to urban cities for employment opportunities with leaving their children at home. These children are called left behind children (LBC) in China and their population has dramatically increased during the last 20 years. So far, many studies have examined what factors were associated with this increasing LBC populations. However, they were rarely guided by a holistic perspective. The current study investigated 1,691 left behind children in 166 communities using data from the China Health and Nutrition Survey (CHNS) in 2011. Based on the human ecology theory, this study explored family and contextual (community) characteristics associated with the left behind children (LBC) in China. The main results for this subpopulation of families with children revealed stark contrasts with the literature for the general population of migrants. That is, for the families with children, (1) contrary to the literature, father’s education was negatively associated with the probability of LBC at the individual level, even after the income was controlled; (2) community average father’s education was also negatively associated with LBC; but (3) community average household income was not associated with LBC once the average father’s education was controlled. The policy implications of these results are briefly discussed.

scholarly journals Criminal Justice Debt During the Prisoner Reintegration Process: Who Has It and How Much?

2018 ◽  
Vol 46 (1) ◽  
pp. 154-172 ◽  
Author(s):  
Nathan W. Link
Keyword(s):  
Criminal Justice ◽  
Negative Binomial ◽  
Policy Implications ◽  
Community Supervision ◽  
Individual Level ◽  
Prisoner Reintegration ◽  
Negative Binomial Models ◽  
The Individual ◽  
Binomial Models ◽  
Transition Home

Much recent, national attention has centered on financial sanctions and associated debt burdens related to criminal justice. Scholars and practitioners alike have argued that financial debt among the incarcerated, in particular, exacerbates a transition home already defined by difficulties. This article takes a step back and assesses who is at risk of these adverse consequences in reentry by examining the extent of debt burdens that resulted from financial sanctions, its sources, and the individual-level factors that are associated with owing criminal justice debt. Relying on the Returning Home data ( N = 740), results from descriptive analyses, logistic regression, and negative binomial models show that a large proportion of respondents owed debts and that debt was strongly linked with being mandated to community supervision. In addition, debt amount was predicted by employment, income, and race. Policy implications in the realm of financial sanctioning by courts and correctional agencies are discussed.

PARENTAL AND SIBLING MIGRATION AND HIGH BLOOD PRESSURE AMONG RURAL CHILDREN IN CHINA

2015 ◽  
Vol 48 (1) ◽  
pp. 129-142 ◽  
Author(s):  
MING WEN ◽  
KELIN LI
Keyword(s):  
Blood Pressure ◽  
Rural China ◽  
Random Effect ◽  
Rural Children ◽  
Urban Migration ◽  
Nutrition Survey ◽  
Prospective Survey ◽  
Individual Level ◽  
Left Behind ◽  
Health And Nutrition

SummaryThis study examines the associations between parental and sibling rural-to-urban migration and blood pressure (BP) of rural left-behind children (LBC) in rural China. Analysis was based on the 2000, 2004, 2006 and 2009 waves of longitudinal data from the China Health and Nutrition Survey, which is an ongoing prospective survey covering nine provinces with an individual-level response rate of 88%. Blood pressure levels were measured by trained examiners at three consecutive times on the same visit and the means of three measurements were used as the final BP values. An ordinal BP measure was then created using a recently validated age–sex-specified distribution for Chinese children and adolescents, distinguishing normal BP, pre-hypertension and hypertension. Random effect modelling was performed. Different migration circumstances play different roles in LBC's BP with mother-only and both-parent migration being particularly detrimental and father-only and sibling-only migration either having no association or a negative association with LBC's BP levels or odds of high BP. In conclusion, the link between family migration and left-behind children's blood pressure is complex, and depends on who is the person out-migrating.

scholarly journals Welsh Government Flying Start Programme Evaluation Using Linked Data

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Sarah Lowe ◽  
Laura McGinn ◽  
Marcos Quintela ◽  
Luke Player ◽  
Karen Tingay
Keyword(s):  
Evidence Base ◽  
Development Project ◽  
Early Years ◽  
Local Authorities ◽  
Parenting Support ◽  
Individual Level ◽  
Level Data ◽  
Part Time ◽  
The Individual ◽  
Families With Children

BackgroundFlying Start (FS) is the Welsh Government’s (WG) flagship Early Years programme for families with children aged less than 4 years of age. Running since 2006, the four entitlements are: Free part-time childcare for 2-3 year olds Enhanced Health Visiting Parenting support Speech, language, and communication support ObjectivesCurrently, while we know which areas in Wales are receiving FS support, individual-level data on which child received what entitlements is not available. Area-level outcomes can be used as proxy indicators but the individual impact of receiving FS support cannot be examined.The project aims to evaluate FS by linking the FS cohort to a range of outcomes including health, education and social care. MethodsA Dataflow Development Project (DDP) has been launched to install SAIL (Secure Anonymised Information Linkage) appliances into 6 pilot Local Authorities in Wales which will test acquiring and linking the individual level FS data from pilot Local Authorities with other datasets in SAIL. FindingsThe project will report some emerging findings from the analysis of pilot data. ImplicationsThere is a growing interest in using linked administrative data to evaluate government initiatives, and mounting enthusiasm in Local Government. If successful, this model is likely to be adopted by related WG programmes; improving the evidence base, facilitating effective evaluation, and adding to the data available for re-use in Wales.

Examining the Impact of Individual, Community, and Market Factors on Methamphetamine Use: A Tale of Two Cities

2005 ◽  
Vol 35 (4) ◽  
pp. 665-693 ◽  
Author(s):  
Nancy Rodriguez ◽  
Charles Katz ◽  
Vincent J. Webb ◽  
David R. Schaefer
Keyword(s):  
Drug Market ◽  
Community Level ◽  
Policy Implications ◽  
Individual Level ◽  
Methamphetamine Use ◽  
Level Data ◽  
Two Cities ◽  
Market Factors ◽  
The Individual ◽  
The Impact

Although prior studies have monitored the trends in methamphetamine use and reported its increase over the years, few studies have considered how community-level characteristics affect the use of methamphetamine. In this study, we utilize data from the Arrestee Drug Abuse Monitoring (ADAM) program from two cities to examine how individual-level, community-level, and drug market factors influence methamphetamine use. Results indicate that both individual and community-level data significantly influence methamphetamine use. Also, findings show that predictors of methamphetamine use (at the individual and community-level) differ significantly from marijuana, cocaine, and opiate use. Policy implications regarding law enforcement suppression and the treatment of methamphetamine users are discussed.

scholarly journals The Conflicting Impact of COVID-19’s Health and Economic Crises on Helping

2020 ◽  
pp. 105960112096870
Author(s):  
Mindy K. Shoss ◽  
Kristin A. Horan ◽  
Michael DiStaso ◽  
Chelsea A. LeNoble ◽  
Anthony Naranjo
Keyword(s):  
System Theory ◽  
Economic Crisis ◽  
Macro Level ◽  
Economic Crises ◽  
Negatively Associated ◽  
Individual Level ◽  
Search Volume ◽  
Event System ◽  
Work Hour ◽  
The Individual

Helping behaviors are considered critical for business and societal recovery in light of economic crises and natural disasters, including the COVID-19 pandemic that has both economic and health disaster elements. However, because the current COVID-19 pandemic has both of these elements, it is unclear how helping may be impacted. Economic crisis research suggests that such events are associated with less helping, whereas disaster research suggests that such events are associated with greater helping. We pair the event system theory (Morgeson, F. P., Mitchell, T. R., & Liu, D. (2015). Event system theory: An event-oriented approach to the organizational sciences. Academy of Management Review, 40(4), 515-537) with these two logics (economic downturn and disaster) to suggest that health and economic threats within the COVID-19 pandemic operate with potentially opposing forces on helping-related outcomes. To test these ideas at a macro-level, we examined internet search volume for recession, COVID-19, and interest in helping. At a micro-level, we examined the relationships between work- hour insecurity and perceived job-related COVID-19 risk—two salient COVID-19-related economic and health threats—and helping customers and coworkers. Consistent with economic crisis logic, macro-level concern about recession was negatively associated with interest in helping. Moreover, at the individual level, work-hour insecurity negatively predicted helping coworkers. Consistent with disaster logic, at the individual level, perceived job-related COVID-19 threat was positively associated with helping coworkers and negatively associated with helping customers. These findings suggest that the specific feature of the COVID-19 event system (economic versus health) and the target (organizational insiders versus outsiders) matter for shaping helping behavior. These findings have implications for helping during crises that involve economic and/or disaster elements.

A Spatial Analysis of Male and Female Unemployment in the USA

2015 ◽  
pp. 1797-1809
Author(s):  
Edmund J. Zolnik
Keyword(s):  
Multilevel Models ◽  
Personal Characteristics ◽  
Policy Implications ◽  
Men And Women ◽  
Male And Female ◽  
Individual Level ◽  
Right To Work ◽  
The Usa ◽  
The Individual ◽  
The U.S

An analysis of male and female unemployment in the U.S. explores how gender affects spatial variation in unemployment. The effects of spatially-unlagged and spatially-lagged unemployment rates on the likelihood that individual men and women are unemployed are also explored. Using a recent tabulation of microdata from the American Community Survey, multilevel models of male and female unemployment are fit. Results indicate that age and occupation at the individual-level and a right-to-work dummy at the PUMA-level are the variables that best distinguish unemployed men and women. Results also indicate that unemployment for men is more clustered in space than unemployment for women. Finally, results indicate that the vast majority of the variation in unemployment for individuals in the U.S. is attributable to the personal characteristics of unemployed men and women, not the locational characteristics of high-unemployment places. The paper concludes with a discussion of the policy implications of the latter result.

scholarly journals Investigating Factors that Influence Math Homework Expectancy: A Multilevel Approach

2020 ◽  
Vol 12 (16) ◽  
pp. 6586
Author(s):  
Jianzhong Xu ◽  
Chuang Wang ◽  
Jianxia Du
Keyword(s):  
Parent Education ◽  
Autonomy Support ◽  
Multilevel Approach ◽  
Negatively Associated ◽  
Individual Level ◽  
Class Level ◽  
Homework Quality ◽  
And Performance ◽  
The Individual ◽  
Grade 8

The present study investigated several clusters of variables influencing students’ math homework expectancy based on 3018 students in grade 8 in China. Results revealed that math homework expectancy was positively associated with homework quality at both the individual and class level. At the individual level, math homework expectancy was positively associated with prior math knowledge, parent education, homework interest, homework favorability, parent autonomy support, mastery-approach, and homework value. Meanwhile, math homework expectancy was negatively associated with homework time, parent help quantity, and performance-approach. Finally, compared with females, males tended to have higher math homework expectancy.

scholarly journals Background Variables, Levels of Aggregation, and Standardized Test Scores

2009 ◽  
Vol 17 ◽  
pp. 22
Author(s):  
Sharon E. Paulson ◽  
Gregory J. Marchant
Keyword(s):  
No Child Left Behind ◽  
Test Scores ◽  
Standardized Test ◽  
Demographic Characteristics ◽  
Standardized Test Scores ◽  
Data Sets ◽  
High Stakes ◽  
Individual Level ◽  
Left Behind ◽  
The Individual

This article examines the role of student demographic characteristics in standardized achievement test scores at both the individual level and aggregated at the state, district, school levels. For several data sets, the majority of the variance among states, districts, and schools was related to demographic characteristics. Where these background variables outside of the control of schools significantly affected averaged scores, and test scores result in high stakes consequences, benefits and sanctions may be inappropriately applied. Furthermore, disaggregating the data by race, SES, limited English, or other groupings ignores the significant confounding and cumulative effects of belonging to more than one disadvantaged group. With these approaches to evaluation being fundamental to the No Child Left Behind mandates, the danger of misinterpretation and inappropriate application of sanctions is substantial.

scholarly journals ICT Adoption and the Digital Divide in Serbia: Factors and Policy Implications

10.28945/3247 ◽  
2008 ◽  
Author(s):  
Zlatko Kovacic ◽  
Dragan Vukmirovic
Keyword(s):  
Logistic Regression ◽  
Digital Divide ◽  
Predictive Accuracy ◽  
Classification Tree ◽  
Policy Implications ◽  
Individual Level ◽  
Internet Skills ◽  
Ict Adoption ◽  
Parsimonious Model ◽  
The Individual

This paper explores factors such as socio-demographics, income and wealth and e-skills that may influence the adoption of the ICTs at the individual level. We examine to what extent these factors contribute to the digital divide between different social groups in Serbia. We use the panel data from the survey “ICT usage in Republic of Serbia” in 2006 and 2007, covering over 3000 individuals/households, to perform a quantitative analysis of the digital divide and ICT adoption. Based on a classification tree and a logistic regression model, a profile of the typical ICT adopter and non-adopter is identified. The empirical results show the following: (i) the digital divide between age group 55-74 and those younger that 55 slightly increased in 2007 in case of regular Internet use; (ii) at the individual level the ICT adoption (use of PC, Internet and mobile phones) in Serbia is mainly influenced by the income and wealth of an individual, its computer and Internet skills and age; (iii) this result is quite robust across the methodological approaches used; and (iv) the classification tree approach is preferable since it gives the same predictive accuracy as the logistic regression with a more parsimonious model. The policy implications of these results are discussed.

Transnational Parenthood and Migrant Subjective Well-Being in Italy

2022 ◽  
pp. 019791832110685
Author(s):  
Francesca Tosi ◽  
Roberto Impicciatore
Keyword(s):  
Family Relations ◽  
Data Gathering ◽  
Well Being ◽  
Individual Characteristics ◽  
Subjective Well Being ◽  
Family Status ◽  
Individual Level ◽  
Left Behind ◽  
The Individual ◽  
Migrant Parents

Transnational parents are migrant mothers and fathers who have at least one child left behind in the home country. Despite their non-negligible prevalence in many destination countries, scarcity of data on the topic has caused a lack of attention to this phenomenon in both policy and scholarship. In particular, little is known about how the interplay between migration and family relations at a distance affects the individual well-being of both migrant parents and their left-behind children, especially in a European context. This article evaluates the subjective well-being of migrant couples currently residing in Italy who have children left behind, compared with childless migrants and with migrant parents living with their children in Italy. Multivariate logistic regression applied to individual-level data from Istat's Survey on Social condition and integration of foreign citizens, 2011–2012, shows that transnational parents experienced lower levels of self-rated health compared with migrants with different family statuses and that the well-being loss associated with transnational parenthood is strongly gendered. Controlling for individual characteristics, socio-economic conditions, the presence of minor children, and migration background, our analysis demonstrates that men's subjective wellbeing did not vary based on their family status while transnational mothers experienced significantly lower well-being compared with childless migrant women. Our research suggests the need for adopting a transnational approach to migration starting from data gathering, for instance through the design and implementation of multi-sited and retrospective surveys.

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