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    Building a Diverse Health Professions Workforce?: Changes in Enrollment and Completion Among Underserved Populations in Grant Supported Health Professions Pathways.

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    https://www.riss.kr/link?id=T14821123

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    This study examined one case of a federal human capital investment in health professions education for evidence of a changes in educational equity for underserved student subgroups. Specifically, this study compared enrollment and educational outcomes of students in health professions programs of study in a consortium of community colleges before and after they received a $19.6 million Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant. This was done by comparing characteristics of a sample of students were enrolled at H2P colleges prior to receiving TAACCCT funding with a sample of students who were enrolled at H2P colleges in TAACCCT-funded programs of study. The first sample, referred to as the comparison sample, consisted of 8,673 students who enrolled in health professions programs of study in 2008 or 2009 at H2P colleges. The second sample, referred to as the participant sample consisted of 4,693 students who enrolled in TAACCCT-funded programs of study in 2012. Both samples were drawn from eight of the nine H2P colleges. The ninth college was excluded from the study because a comparison sample was not available. The study compares the demographics of students in the two samples, as well as their retention and awarded credentials over a three year period (2008--2010, 2009--2011 and 2012--2014).
    Underserved populations in health professions programs of study included in this study were: a) Latino students, b) Black students, c) low-income students who were eligible for Pell grants, d) male students, e) students who were 25 years of age or older, and f) students who completed developmental education coursework. This study addresses the following research question: Were there changes in educational equity for underserved subgroups of students who participated in TAACCCT-funded health professions programs of study at H2P colleges? a. What changes were there in the proportion of underserved students who enrolled in health professions programs of study prior to and after receiving TAACCCT funding? b. What changes were there in the educational outcomes of underserved subgroups of students enrolled in health professions programs of study prior to and after receiving TAACCCT funding?.
    This study utilized two sources of secondary data. The first data source utilized in this study were data gathered by the OCCRL for their third party evaluation of H2P. The OCCRL data included a database of student record data on student demographics, course history, and credentials awarded by the college. Most of the data required for this study were part of this student record database. OCCRL collected data on the health professions programs of study at each H2P college, including those not impacted by TAACCCT funding. This data was used in assigning program length. The second data source utilized in this study are disaggregated enrollment data reported by H2P colleges in their IPEDS 12-Month Enrollment reports. IPEDS data was used in the analysis of enrollment at H2P colleges using Bensimon et al.'s (2003) Equity Index and chi-square analysis, for the following subgroups: a) Latino students, b) Black students, and c) male students.
    There were three stages of data analysis used in this study. The first stage was an examination of the enrollment of the two samples in comparison to the populations served at each H2P college. Bensimon et al's (2003) Equity Index was used to calculate the proportion of Latino, Black, and male students in each sample as compared to the college-wide enrollment at the college and consortium level. The second stage of analysis used both Equity Indexes and goodness-of-fit chi-square analysis to compare the composition of the two samples. In this stage Equity Indexes were used to compare the proportion of the Latino, Black, and male students in the two samples. Chi-square analysis were used to compare the composition of each of the students in each of the subgroups featured in this study including: a) Latino students, b) Black students, c) students who were eligible for Pell grants, d) male students, e) students who were 25 years of age or older, and f) students who completed developmental education coursework. The final stage of analysis used logistic regression to analyze the likelihood of students in each underserved subgroup being retained or completing their program of study. The outcomes examined for each subgroup in the study were: a) retained without a credential, b) awarded one or more certificates, c) awarded one or more associate's degrees, and d) awarded one or more credentials. A logistic regression analysis was run for each sample, for each outcomes, that analysis the relative likelihood of each subgroup reaching the outcome. This analysis was done at the consortium level using a fixed-effect technique to account for the variance among colleges. (Abstract shortened by ProQuest.).
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    This study examined one case of a federal human capital investment in health professions education for evidence of a changes in educational equity for underserved student subgroups. Specifically, this study compared enrollment and educational outcome...

    This study examined one case of a federal human capital investment in health professions education for evidence of a changes in educational equity for underserved student subgroups. Specifically, this study compared enrollment and educational outcomes of students in health professions programs of study in a consortium of community colleges before and after they received a $19.6 million Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant. This was done by comparing characteristics of a sample of students were enrolled at H2P colleges prior to receiving TAACCCT funding with a sample of students who were enrolled at H2P colleges in TAACCCT-funded programs of study. The first sample, referred to as the comparison sample, consisted of 8,673 students who enrolled in health professions programs of study in 2008 or 2009 at H2P colleges. The second sample, referred to as the participant sample consisted of 4,693 students who enrolled in TAACCCT-funded programs of study in 2012. Both samples were drawn from eight of the nine H2P colleges. The ninth college was excluded from the study because a comparison sample was not available. The study compares the demographics of students in the two samples, as well as their retention and awarded credentials over a three year period (2008--2010, 2009--2011 and 2012--2014).
    Underserved populations in health professions programs of study included in this study were: a) Latino students, b) Black students, c) low-income students who were eligible for Pell grants, d) male students, e) students who were 25 years of age or older, and f) students who completed developmental education coursework. This study addresses the following research question: Were there changes in educational equity for underserved subgroups of students who participated in TAACCCT-funded health professions programs of study at H2P colleges? a. What changes were there in the proportion of underserved students who enrolled in health professions programs of study prior to and after receiving TAACCCT funding? b. What changes were there in the educational outcomes of underserved subgroups of students enrolled in health professions programs of study prior to and after receiving TAACCCT funding?.
    This study utilized two sources of secondary data. The first data source utilized in this study were data gathered by the OCCRL for their third party evaluation of H2P. The OCCRL data included a database of student record data on student demographics, course history, and credentials awarded by the college. Most of the data required for this study were part of this student record database. OCCRL collected data on the health professions programs of study at each H2P college, including those not impacted by TAACCCT funding. This data was used in assigning program length. The second data source utilized in this study are disaggregated enrollment data reported by H2P colleges in their IPEDS 12-Month Enrollment reports. IPEDS data was used in the analysis of enrollment at H2P colleges using Bensimon et al.'s (2003) Equity Index and chi-square analysis, for the following subgroups: a) Latino students, b) Black students, and c) male students.
    There were three stages of data analysis used in this study. The first stage was an examination of the enrollment of the two samples in comparison to the populations served at each H2P college. Bensimon et al's (2003) Equity Index was used to calculate the proportion of Latino, Black, and male students in each sample as compared to the college-wide enrollment at the college and consortium level. The second stage of analysis used both Equity Indexes and goodness-of-fit chi-square analysis to compare the composition of the two samples. In this stage Equity Indexes were used to compare the proportion of the Latino, Black, and male students in the two samples. Chi-square analysis were used to compare the composition of each of the students in each of the subgroups featured in this study including: a) Latino students, b) Black students, c) students who were eligible for Pell grants, d) male students, e) students who were 25 years of age or older, and f) students who completed developmental education coursework. The final stage of analysis used logistic regression to analyze the likelihood of students in each underserved subgroup being retained or completing their program of study. The outcomes examined for each subgroup in the study were: a) retained without a credential, b) awarded one or more certificates, c) awarded one or more associate's degrees, and d) awarded one or more credentials. A logistic regression analysis was run for each sample, for each outcomes, that analysis the relative likelihood of each subgroup reaching the outcome. This analysis was done at the consortium level using a fixed-effect technique to account for the variance among colleges. (Abstract shortened by ProQuest.).

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