The Impact of Language Status as an Acculturative Stressor on Internalizing and Externalizing Behaviors among Latino/a Children: A Longitudinal Analysis from School Entry through Third Grade

This study examined the relationship between limited English proficiency status, and internalizing and externalizing behaviors among a sample of Latino/a children (N = 2,840) from the US Department of Education’s Early Childhood Longitudinal Study, Kindergarten (ECLS-K) data set. Results of cross sectional regression and hierarchical linear modeling (HLM) analyses suggest that there is a positive relationship between limited English proficiency and externalizing symptoms, particularly by third grade. Additionally, sex and place of birth also helped to explain externalizing behaviors at various time points in the models. Place of birth and family poverty were significantly associated with internalizing symptoms. Implications for future research and interventions related to internalizing and externalizing behavior among the Latino/a school aged population are discussed.

An input-output approach to the measurement of the information economy

This study presents a set of methods based on input-output analysis to measure the size and structure of a country's information economy. Published current national data bases do not identify even the broad contours of a country's information economy. The methodology which is stylised algebraically using input-output modelling unravels the latent information economy. Both the primary or marketed information activities and the non-marketed or secondary information activities are measured. The interdependencies of the primary and secondary information sectors with the non-information sectors such as agriculture and manufacturing are examined. Linkages and multipliers are also calculated using consistent approaches. Finally, the methodology is empirically validated using Australia as a case-study and the results are discussed.     

Gender and evidence-based planning: the CIET methods

Epidemiological combined with experiential evidence from communities can produce important and sometimes surprising insights into gender relations, to inform policies that address changing needs. CIET has standardised a community-based cross-design for the gender-sensitive collection and analysis of three types of evidence: impact, coverage, and costs. Five steps help to ensure that women's voices are heard in planning. Gender-stratified analysis of existing data is a starting point. Stratification of all responses by sex of the respondent prevents a numerical bias in favour of men translating into a gender bias in the analysis. Female focus groups inform survey design, interpretation, and appropriate strategies for change. Gender is a factor in risk and resilience analysis. Finally, gender-sensitive logistics ensure women's equal participation. First-order outputs include actionable gender data to advocate in favour of women. Second-order outputs include an enabling environment for equitable development, challenging the gendered patterns of economic marginalisation.     

Reviews

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