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D'Attoma, Ida; Camillo, Furio; Clark, M. H. – Journal of Experimental Education, 2019
Propensity score (PS) adjustments have become popular methods used to improve estimates of treatment effects in quasi-experiments. Although researchers continue to develop PS methods, other procedures can also be effective in reducing selection bias. One of these uses clustering to create balanced groups. However, the success of this new method…
Descriptors: Statistical Bias, Regression (Statistics), Probability, Weighted Scores
Enakshi Saha – ProQuest LLC, 2021
We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…
Descriptors: Bayesian Statistics, Probability, Nonparametric Statistics, Data Analysis
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Hunter, Jennifer L.; Heath, Claudia J. – Journal of Financial Counseling and Planning, 2017
This article uses a random digit dial probability sample (N = 328) to examine the relationship between credit card use behaviors and household well-being during a period of severe economic recession: The Great Recession. The ability to measure the role of credit card use during a period of recession provides unique insights to the study of credit…
Descriptors: Credit (Finance), Consumer Economics, Well Being, Family (Sociological Unit)
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Palmer, Jane E.; St. Vil, Noelle M. – NASPA Journal About Women in Higher Education, 2018
Due to the Title IX law, administrators at institutions of higher education (IHE) in the United States must promptly investigate reports of sexual assault. In addition, the Clery Act requires IHEs to publicly disclose annual sexual assault statistics. However, it is unknown whether--or how--sexual assault disclosure differs by type of IHE. This…
Descriptors: Sexual Abuse, Disclosure, Females, Black Colleges
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Kelly, Bridget; Margolis, Marjorie; McCormack, Lauren; LeBaron, Patricia A.; Chowdhury, Dhuly – Field Methods, 2017
The literature on factors that influence participation in qualitative research is lacking. We conducted an experiment with a nationally representative sample to test the impact of different incentive types and amounts on willingness to participate in a hypothetical qualitative interview. We randomized participants from an online panel to one of…
Descriptors: Participant Characteristics, Qualitative Research, Incentives, Comparative Analysis
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Bright, Charlotte Lyn; Farrell, Jill; Winters, Andrew M.; Betsinger, Sara; Lee, Bethany R. – Research on Social Work Practice, 2018
Purpose: Responding to social work's grand challenge of smart decarceration, this study investigated whether Family Centered Treatment (FCT), a home-based service for juvenile court-involved youth, is more effective than group care (GC) in reducing recidivism. Outcomes are juvenile readjudication and commitment to placement, and adult conviction…
Descriptors: Family Programs, Juvenile Justice, Recidivism, Intervention
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Santana Vega, Lidia E.; González-Morales, Olga; Feliciano García, Luis – Journal of New Approaches in Educational Research, 2016
This work studied the entrepreneurial aspirations of 3,987 adolescents regarding self-employment and the influence of gender, age, nationality, type of school, location of the school, educational level and performance. The Logit model is used to analyze the data. The results indicate that the pupils' aspirations to be self-employed increase in the…
Descriptors: Entrepreneurship, Adolescents, Foreign Countries, Academic Achievement
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Tumusiime, Emmanuel – Journal of Agricultural Education and Extension, 2017
Purpose: This study examines the suitability of the system of rice intensification (SRI) for diverse small-scale farmers in Tanzania by exploring if poor and non-poor farmers adopt the system to a similar extent. Originality: The suitability of low-external input technologies such as SRI for diverse African farmers is a contentious issue. Existing…
Descriptors: Food, Foreign Countries, Agricultural Occupations, Multivariate Analysis
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Lilly, Flavius R. W.; Owens, Jenny; Bailey, TaShara C.; Ramirez, Amy; Brown, Whitney; Clawson, Clancy – College Student Journal, 2018
Objective: This study examined the association between positive screening for depression, current exposure to microaggressions, distress evoked by microaggressions, and subjective social status among high-achieving minorities. Methods: An observational cross-sectional study was conducted using the Racial Microaggressions Scale, MacArthur Scale of…
Descriptors: Racial Bias, Aggression, Correlation, Depression (Psychology)
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Wang, Jia; Schweig, Jonathan D.; Herman, Joan L. – Journal of Education for Students Placed at Risk, 2017
Magnet schools are one of the largest sectors of choice schools in the United States. In this study, we explored the heterogeneity in magnet-school effects on student achievement by examining 24 magnet schools, funded under the Magnet Schools Assistance Program (MSAP), in 5 school districts across 4 states. The magnet effects were synthesized…
Descriptors: Magnet Schools, School Choice, School Districts, Multivariate Analysis
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Moorfoot, Nicholas; Leung, Rachel K.; Toumbourou, John W.; Catalano, Richard F. – International Journal of Developmental Science, 2015
This study explores the longitudinal effect of adolescent volunteering behaviour on young adult volunteering and the completion of secondary school. Utilising data from the Australian sample of the International Youth Development Study, frequency of volunteering in Grade 9 (mean age = 15 years) and in young adulthood (mean age = 21 years), and…
Descriptors: Longitudinal Studies, Adolescents, Volunteers, Secondary School Students
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Mammadov, Sakhavat; Ward, Thomas J.; Cross, Jennifer Riedl; Cross, Tracy L. – Roeper Review, 2016
To date, in gifted education and related fields various conventional factor analytic and clustering techniques have been used extensively for investigation of the underlying structure of data. Latent profile analysis is a relatively new method in the field. In this article, we provide an introduction to latent profile analysis for gifted education…
Descriptors: Statistical Analysis, Academically Gifted, Factor Analysis, Multivariate Analysis
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De Pedro, Kris Tunac; Astor, Ron Avi; Gilreath, Tamika D.; Benbenishty, Rami; Berkowitz, Ruth – Youth & Society, 2018
Research has found that when compared with civilian students, military-connected students in the United States have more negative mental health outcomes, stemming from the stress of military life events (i.e., deployment). To date, studies on military-connected youth have not examined the role of protective factors within the school environment,…
Descriptors: Educational Environment, Mental Health, Military Personnel, Stress Variables
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Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
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Rosenbaum, Janet E. – Community College Review, 2018
Objective: Colleges have increased postsecondary educational access for youth, including individuals with disabilities, but completion rates remain low. This study tests the hypothesis that health conditions that reduce social integration predict lower educational attainment among college students. Method: The sample from the nationally…
Descriptors: Disabilities, Physical Disabilities, Hearing Impairments, Visual Impairments
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