Predicting Attitudes Toward Lesbian and Gay Parent Families Among Portuguese Students from Helping Professions

The authors' goal was to characterize predictors of attitudes toward lesbian and gay parent families (LGPF), held by students enrolled in psychology, social work, medicine, nursing, elementary, and preschool education programs in Portugal. The authors examined the predictive value of students' (n = 600) sociodemographic characteristics when assessing their attitudes toward LGPF. Participant's gender, interpersonal contact with lesbians and gay men, gender role attitudes had indirect effects on attitudes toward LGPF, through attitudes toward lesbians and gay men. Understanding characteristics associated with attitudes toward LGPF may inform decisions in terms of the education and training of helping professionals.     

Comparison of dichotomized and distributional approaches in rare event clinical trial design: a fixed Bayesian design

This research was motivated by our goal to design an efficient clinical trial to compare two doses of docosahexaenoic acid supplementation for reducing the rate of earliest preterm births (ePTB) and/or preterm births (PTB). Dichotomizing continuous gestational age (GA) data using a classic binomial distribution will result in a loss of information and reduced power. A distributional approach is an improved strategy to retain statistical power from the continuous distribution. However, appropriate distributions that fit the data properly, particularly in the tails, must be chosen, especially when the data are skewed. A recent study proposed a skew-normal method. We propose a three-component normal mixture model and introduce separate treatment effects at different components of GA. We evaluate operating characteristics of mixture model, beta-binomial model, and skew-normal model through simulation. We also apply these three methods to data from two completed clinical trials from the USA and Australia. Finite mixture models are shown to have favorable properties in PTB analysis but minimal benefit for ePTB analysis. Normal models on log-transformed data have the largest bias. Therefore we recommend finite mixture model for PTB study. Either finite mixture model or beta-binomial model is acceptable for ePTB study.     

Tests for Structural Changes in Time Series of Counts

We propose methods for detecting structural changes in time series with discrete‐valued observations. The detector statistics come in familiar L2‐type formulations incorporating the empirical probability generating function. Special emphasis is given to the popular models of integer autoregression and Poisson autoregression. For both models, we study mainly structural changes due to a change in distribution, but we also comment for the classical problem of parameter change. The asymptotic properties of the proposed test statistics are studied under the null hypothesis as well as under alternatives. A Monte Carlo power study on bootstrap versions of the new methods is also included along with a real data example.     

Fourier–type tests involving martingale difference processes

We develop testing procedures which detect if the observed time series is a martingale difference sequence. Furthermore, tests are developed that detect change–points in the conditional expectation of the series given its past. The test statistics are formulated following the approach of Fourier–type conditional expectations first proposed by Bierens (1982 Bierens, H. J. (1982). Consistent model speci?cation tests. J. Econometr. 20:105–134.[Crossref], [Web of Science ®] , [Google Scholar]) and have the advantage of computational simplicity. The limit behavior of the test statistics is investigated under the null hypothesis as well as under alternatives. Since the asymptotic null distribution contains unknown parameters, a bootstrap procedure is proposed in order to actually perform the test. The performance of the bootstrap version of the test is compared in finite samples with other methods for the same problem. A real–data application is also included.     

The Role of Migration Policy Changes in Europe for Return Migration to Senegal

This study questions the role of migration policy changes in France, Italy, and Spain for return migration to Senegal, by analyzing biographic data from the Migration between Africa and Europe (MAFE‐Senegal) survey and the contextual data of the Determinants of International Migration (DEMIG) VISA and DEMIG POLICY databases that cover major changes in migration policies in these destination countries for the different categories of migrants. Event history logistic regressions reveal that Senegalese migrants are less likely to return when the entry restrictions have become tighter. This result suggests that the decision to return depends on the possibility of migrating again after the return, which is crucial for both theory and policy regarding Western democracies' attempts to regulate migration.     

Developing an undue influence screening tool for Adult Protective Services

The study purpose was to develop and pilot an undue influence screening tool for California’s Adult Protective Services (APS) personnel based on the definition of undue influence enacted into California law January 1, 2014. Methods included four focus groups with APS providers (n = 33), piloting the preliminary tool by APS personnel (n = 15), and interviews with four elder abuse experts and two APS administrators. Social service literature—including existing undue influence models—was reviewed, as were existing screening and assessment tools. Using the information from these various sources, the California Undue Influence Screening Tool (CUIST) was developed. It can be applied to APS cases and potentially adapted for use by other professionals and for use in other states. Implementation of the tool into APS practice, policy, procedures, and training of personnel will depend on the initiative of APS management. Future work will need to address the reliability and validity of CUIST.     

Racial/Ethnic Minority Vocational Research Trends: An 11‐Year Update

This study extends Flores et al.'s ( 2006 ) 36‐year analysis of racial/ethnic minority (REM) career research to identify recent trends in choice of topics and leading individual and institutional contributors. The authors identified 166 articles on REM career research published from 2005 to 2015 in the Journal of Vocational Behavior, The Career Development Quarterly, the Journal of Career Assessment, and the Journal of Career Development. Of these studies, 92% were empirical, with more than three quarters of these using quantitative rather than qualitative methodology. Most frequently, the empirical studies (n = 153) were based on samples of high school (30.7%) or undergraduate (34.6%) students. The authors discuss the implications of their findings and suggest ways to expand REM career research in the future.     

Special education disproportionality in the United States,Germany, Kenya,and India

Disproportionality in special education includes the underrepresentation and overrepresentation of children by gender, economic status, race, ethnicity, language, and culture. This article reviews literature on disproportionality in the United States, Germany, Kenya, and India. Societal views of disability, classism, racism, and inequitable assessment are among the factors that contribute to disproportionality. Preventative medicine, equitable access to resources, ethical and effective assessment procedures, and educational practices that are gender equitable and culturally responsive may reduce the problem of disproportionality.