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Created
January 03, 2025 13:18
by
meh302
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Updated
January 03, 2025 13:18
by
[unknown user]
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Added Creator Jaime Ballard
January 03, 2025 13:19
by
meh302
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Added Creator Adeya Richmond
January 03, 2025 13:19
by
meh302
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Added Creator Suzanne van den Hoogenhof
January 03, 2025 13:19
by
meh302
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Added Creator Lynne Borden
January 03, 2025 13:19
by
meh302
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Added Creator Daniel Francis Perkins
January 03, 2025 13:19
by
meh302
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Updated
Keyword, Publisher, Publisher Identifier (DOI), and 2 more
Show Changes
January 03, 2025 13:19
by
meh302
Keyword
- Youth Program, Family Program, Missing Data, Youth Programs, Family Programs, Prevalence, Research Personnel, Site Level, Fatigue, Research Design, Self Report, Datasets , Statistical Methods, Multilevel Data, Statistical Method, Research Design Methods, Self Report Measures, Data Reporting, Multiple Selves, Program Participation, Community Partnerships, Evaluation Design, Research Planning, Participation, Classroom, Evaluation
Publisher
Publisher Identifier (DOI)
- 10.1177/00332941211026851
Description
- <p>Background: Multilevel data can be missing at the individual level or at a nested level, such as family, classroom, or program site. Increased knowledge of higher-level missing data is necessary to develop evaluation design and statistical methods to address it. Methods: Participants included 9,514 individuals participating in 47 youth and family programs nationwide who completed multiple self-report measures before and after program participation. Data were marked as missing or not missing at the item, scale, and wave levels for both individuals and program sites. Results: Site-level missing data represented a substantial portion of missing data, ranging from 0–46% of missing data at pre-test and 35–71% of missing data at post-test. Youth were the most likely to be missing data, although site-level data did not differ by the age of participants served. In this dataset youth had the most surveys to complete, so their missing data could be due to survey fatigue. Conclusions: Much of the missing data for individuals can be explained by the site not administering those questions or scales. These results suggest a need for statistical methods that account for site-level missing data, and for research design methods to reduce the prevalence of site-level missing data or reduce its impact. Researchers can generate buy-in with sites during the community collaboration stage, assessing problematic items for revision or removal and need for ongoing site support, particularly at post-test. We recommend that researchers conducting multilevel data report the amount and mechanism of missing data at each level.</p>
Publication Date
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Updated
January 03, 2025 13:19
by
meh302
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January 03, 2025 13:19
by
meh302
Description
<p>Background: Multilevel data can be missing at the individual level or at a nested level, such as family, classroom, or program site. Increased knowledge of higher-level missing data is necessary to develop evaluation design and statistical methods to address it. Methods: Participants included 9,514 individuals participating in 47 youth and family programs nationwide who completed multiple self-report measures before and after program participation. Data were marked as missing or not missing at the item, scale, and wave levels for both individuals and program sites. Results: Site-level missing data represented a substantial portion of missing data, ranging from 0–46% of missing data at pre-test and 35–71% of missing data at post-test. Youth were the most likely to be missing data, although site-level data did not differ by the age of participants served. In this dataset youth had the most surveys to complete, so their missing data could be due to survey fatigue. Conclusions: Much of the missing data for individuals can be explained by the site not administering those questions or scales. These results suggest a need for statistical methods that account for site-level missing data, and for research design methods to reduce the prevalence of site-level missing data or reduce its impact. Researchers can generate buy-in with sites during the community collaboration stage, assessing problematic items for revision or removal and need for ongoing site support, particularly at post-test. We recommend that researchers conducting multilevel data report the amount and mechanism of missing data at each level.</p>
- Background: Multilevel data can be missing at the individual level or at a nested level, such as family, classroom, or program site. Increased knowledge of higher-level missing data is necessary to develop evaluation design and statistical methods to address it. Methods: Participants included 9,514 individuals participating in 47 youth and family programs nationwide who completed multiple self-report measures before and after program participation. Data were marked as missing or not missing at the item, scale, and wave levels for both individuals and program sites. Results: Site-level missing data represented a substantial portion of missing data, ranging from 0–46% of missing data at pre-test and 35–71% of missing data at post-test. Youth were the most likely to be missing data, although site-level data did not differ by the age of participants served. In this dataset youth had the most surveys to complete, so their missing data could be due to survey fatigue. Conclusions: Much of the missing data for individuals can be explained by the site not administering those questions or scales. These results suggest a need for statistical methods that account for site-level missing data, and for research design methods to reduce the prevalence of site-level missing data or reduce its impact. Researchers can generate buy-in with sites during the community collaboration stage, assessing problematic items for revision or removal and need for ongoing site support, particularly at post-test. We recommend that researchers conducting multilevel data report the amount and mechanism of missing data at each level.
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Updated Creator Jaime Ballard
January 03, 2025 13:19
by
meh302
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Updated Creator Adeya Richmond
January 03, 2025 13:19
by
meh302
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Updated Creator Suzanne van den Hoogenhof
January 03, 2025 13:19
by
meh302
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Updated Creator Lynne Borden
January 03, 2025 13:19
by
meh302
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Updated Creator Daniel Francis Perkins
January 03, 2025 13:19
by
meh302
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Added
ballard-et-al-2021-missing-data-in-research-on-youth-and-family-programs.pdf
January 03, 2025 13:19
by
meh302
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January 03, 2025 13:20
by
meh302
License
- https://creativecommons.org/licenses/by/4.0/
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Published
January 03, 2025 13:20
by
meh302
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Updated
January 03, 2025 21:04
by
[unknown user]