Using Entropy Balancing to Reduce the Effects of Selection Bias in Afterschool Studies: An Example in Studying the Relationship between Intensity of Afterschool Program Participation and Academic Achievement Article Swipe
Denise Hunag
,
Seth Leon
,
Deborah La Torre
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3224/ijree.v5i1.01
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3224/ijree.v5i1.01
Every since the enactment of the No Child Left Behind Act (2001) in the United States, achievement gains resulting from afterschool participation have been of particular interest. However, findings have been inconsistent. The challenge for researchers is partly due to the wide variation of program goals, difficulty in obtaining valid control groups, difficulty in obtaining clean records of data, the high transience rates of the students, and in particular, the failure to differentiate among the dosage students receive and the inherent potential of selection bias in the afterschool population. This study draw on a large dataset and allows for the analysis of effects over the course of several years. Using LA's BEST afterschool program as an example, this study employed advanced methodology to reduce selection bias in examining the relations between afterschool program participation and academic achievement. (DIPF/Orig.)
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3224/ijree.v5i1.01
- https://www.budrich-journals.de/index.php/IJREE/article/view/30799/26539
- OA Status
- hybrid
- Cited By
- 3
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2782245659
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Raw OpenAlex JSON
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https://openalex.org/W2782245659Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3224/ijree.v5i1.01Digital Object Identifier
- Title
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Using Entropy Balancing to Reduce the Effects of Selection Bias in Afterschool Studies: An Example in Studying the Relationship between Intensity of Afterschool Program Participation and Academic AchievementWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-01-05Full publication date if available
- Authors
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Denise Hunag, Seth Leon, Deborah La TorreList of authors in order
- Landing page
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https://doi.org/10.3224/ijree.v5i1.01Publisher landing page
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https://www.budrich-journals.de/index.php/IJREE/article/view/30799/26539Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.budrich-journals.de/index.php/IJREE/article/view/30799/26539Direct OA link when available
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Selection bias, Academic achievement, Selection (genetic algorithm), Mathematics education, Psychology, Computer science, Statistics, Mathematics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.difficulty | 46, 52 |
| abstract_inverted_index.particular | 25 |
| abstract_inverted_index.transience | 61 |
| abstract_inverted_index.achievement | 16 |
| abstract_inverted_index.afterschool | 20, 87, 112, 131 |
| abstract_inverted_index.methodology | 121 |
| abstract_inverted_index.particular, | 68 |
| abstract_inverted_index.population. | 88 |
| abstract_inverted_index.researchers | 35 |
| abstract_inverted_index.(DIPF/Orig.) | 137 |
| abstract_inverted_index.achievement. | 136 |
| abstract_inverted_index.differentiate | 72 |
| abstract_inverted_index.inconsistent. | 31 |
| abstract_inverted_index.participation | 21, 133 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.26930174 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |