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Dive into the research topics where Greg W. Welch is active.

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Featured researches published by Greg W. Welch.


Maternal and Child Health Journal | 2011

Fathering: the relationship between fathers' residence, fathers' sociodemographic characteristics, and father involvement.

Jason T. Castillo; Greg W. Welch; Christian M. Sarver

Literature and research examining father involvement has focused primarily on outcomes associated with the well-being and development of children. The contextual factors associated with fathers, and how these factors shape fathers’ involvement with their young children, have received limited attention in this literature. Addressing this limitation, this study focuses on the relationship between fathers’ residential status, age, race and ethnicity, educational attainment, financial status and father involvement. Results of the regression models indicate that fathers who reside with their children and fathers who are older are more involved with their children. Given these findings, policymakers, practitioners, and researchers have an opportunity to create and enhance policies and programs that may assist and support fathers in their development as parents and their involvement with their children.


International Journal of Science Education | 2015

A Model of Factors Contributing to STEM Learning and Career Orientation

Gwen Nugent; Bradley S. Barker; Greg W. Welch; Neal Grandgenett; Chao Rong Wu; Carl A. Nelson

The purpose of this research was to develop and test a model of factors contributing to science, technology, engineering, and mathematics (STEM) learning and career orientation, examining the complex paths and relationships among social, motivational, and instructional factors underlying these outcomes for middle school youth. Social cognitive career theory provided the foundation for the research because of its emphasis on explaining mechanisms which influence both career orientations and academic performance. Key constructs investigated were youth STEM interest, self-efficacy, and career outcome expectancy (consequences of particular actions). The study also investigated the effects of prior knowledge, use of problem-solving learning strategies, and the support and influence of informal educators, family members, and peers. A structural equation model was developed, and structural equation modeling procedures were used to test proposed relationships between these constructs. Results showed that educators, peers, and family-influenced youth STEM interest, which in turn predicted their STEM self-efficacy and career outcome expectancy. STEM career orientation was fostered by youth-expected outcomes for such careers. Results suggest that students’ pathways to STEM careers and learning can be largely explained by these constructs, and underscore the importance of youth STEM interest.


American Journal of Men's Health | 2012

Walking a High Beam The Balance Between Employment Stability, Workplace Flexibility, and Nonresident Father Involvement

Jason T. Castillo; Greg W. Welch; Christian M. Sarver

Compared with resident fathers, nonresident fathers are more likely to be unemployed or underemployed and less likely, when they are employed, to have access to flexible work arrangements. Although lack of employment stability is associated with lower levels of father involvement, some research shows that increased stability at work without increased flexibility is negatively related to involvement. Using data from the Fragile Families and Child Wellbeing Study (N = 895), the authors examined the relationship between nonresident fathers’ employment stability, workplace flexibility, and father involvement. Results indicate that workplace flexibility, but not employment stability, is associated with higher levels of involvement. Policy and practice implications are discussed.


Early Child Development and Care | 2011

Family engagement in literacy activities: revised factor structure for The Familia – an instrument examining family support for early literacy development

Eric S. Buhs; Greg W. Welch; Jennifer Burt; Lisa L. Knoche

This study evaluated a data-set drawn using The Familia – a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43 months) participating in a longitudinal intervention study of early childhood school readiness. The new factor model, using recent conceptual frameworks in early literacy, included the factors. Family engagement in learning, Family involvement in school activities and exposure to printed materials. The CFA indicated that the model demonstrated acceptable fit to the data and additional analyses demonstrated that the factors/scales produced acceptable reliability and validity statistics. The revised factors and scales present conceptually based, efficient, valid and reliable indices of family contributions to young children’s literacy development for use in early literacy or school readiness research and related applications.


The Rural Special Education Quarterly | 2016

Defining and Describing Rural: Implications for Rural Special Education Research and Policy.

Leslie R. Hawley; Natalie A. Koziol; James A. Bovaird; Carina M. McCormick; Greg W. Welch; Ann M. Arthur; Kirstie L. Bash

A critical aspect of rural research is carefully defining and describing the rural context. This is particularly important in rural special education research because different definitions of rural may influence resource allocation, grant funding eligibility, and/or research findings. In order to highlight the importance of operationalizing rural, we discuss the challenges of defining rural, provide descriptions of commonly used definitions to familiarize readers with standardized coding schemes, and summarize an empirical example demonstrating the implications different definitions can have on rural special education research and policy. We conclude by providing recommendations for both producers and consumers of research.


Journal of Social Service Research | 2013

The Relationship Between Disadvantaged Fathers’ Employment Stability, Workplace Flexibility, and Involvement With Their Infant Children

Jason T. Castillo; Greg W. Welch; Christian M. Sarver

ABSTRACT In the United States, the slow pace of economic recovery and change in the workplace has created barriers for disadvantaged fathers to engage with their infant children. Using secondary data from the Fragile Families and Child Well-Being Study (n = 1,548), one of a few national studies that examine disadvantaged fathers, we conducted a series of regression analyses examining the relationship between disadvantaged fathers’ employment stability, workplace flexibility, and involvement with their infant children. The results showed that resident, younger, Black, higher income-earning fathers and fathers with stable employment and workplace flexibility were more involved with their infant children. This study provides additional evidence to the literature espousing the importance of workplace policies and arrangements that provide employees with stability and flexibility in the workplace. In doing so, policymakers, employers, and practitioners should develop and implement workplace policies and arrangements strengthening the relationships between disadvantaged fathers and their children and families, employees and their employers, businesses and their consumers, and businesses and their communities. With changes in the American household and workforce nationwide, especially as they relate to men and disadvantaged fathers, it is important that future research continue to examine the relationship between these two entities.


Frontiers in Psychology | 2017

Fitting the Fractional Polynomial Model to Non-Gaussian Longitudinal Data

Ji Hoon Ryoo; Jeffrey D. Long; Greg W. Welch; Arthur J. Reynolds; Susan M. Swearer

As in cross sectional studies, longitudinal studies involve non-Gaussian data such as binomial, Poisson, gamma, and inverse-Gaussian distributions, and multivariate exponential families. A number of statistical tools have thus been developed to deal with non-Gaussian longitudinal data, including analytic techniques to estimate parameters in both fixed and random effects models. However, as yet growth modeling with non-Gaussian data is somewhat limited when considering the transformed expectation of the response via a linear predictor as a functional form of explanatory variables. In this study, we introduce a fractional polynomial model (FPM) that can be applied to model non-linear growth with non-Gaussian longitudinal data and demonstrate its use by fitting two empirical binary and count data models. The results clearly show the efficiency and flexibility of the FPM for such applications.


Robotics and Autonomous Systems | 2016

Robotics camps, clubs, and competitions

Gwen Nugent; Bradley S. Barker; Neal Grandgenett; Greg W. Welch


Learning and Individual Differences | 2015

Examining factor structures on the Test of Early Mathematics Ability — 3: A longitudinal approach

Ji Hoon Ryoo; Victoria J. Molfese; E. Todd Brown; Karen S. Karp; Greg W. Welch; James A. Bovaird


Journal of research in rural education | 2015

Identifying, Analyzing, and Communicating Rural: A Quantitative Perspective

Natalie A. Koziol; Ann M. Arthur; Leslie R. Hawley; James A. Bovaird; Kirstie L. Bash; Carina M. McCormick; Greg W. Welch

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James A. Bovaird

University of Nebraska–Lincoln

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Bradley S. Barker

University of Nebraska–Lincoln

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Gwen Nugent

University of Nebraska–Lincoln

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Ann M. Arthur

University of Nebraska–Lincoln

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Kirstie L. Bash

University of Nebraska–Lincoln

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Leslie R. Hawley

University of Nebraska–Lincoln

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Natalie A. Koziol

University of Nebraska–Lincoln

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