Quality Indicators of Secondary Data Analyses in Special Education Research: A Preregistration Guide
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| Title: | Quality Indicators of Secondary Data Analyses in Special Education Research: A Preregistration Guide |
|---|---|
| Language: | English |
| Authors: | Lombardi, Allison R. (ORCID |
| Source: | Exceptional Children. Jul 2023 89(4):397-411. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2023 |
| Sponsoring Agency: | Institute of Education Sciences (ED) |
| Contract Number: | R324A210245 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Data Analysis, Special Education, Educational Research, Longitudinal Studies, Transitional Programs, Students with Disabilities, Evaluation, Research Methodology |
| Assessment and Survey Identifiers: | National Longitudinal Transition Study of Special Education Students |
| DOI: | 10.1177/00144029221141029 |
| ISSN: | 0014-4029 2163-5560 |
| Abstract: | Secondary data analyses occur when new analyses are proposed for existing data. Although they are prevalent in special education research, there is little guidance on how to prepare secondary data analyses studies. Preregistration of secondary data analyses studies provides a nice opportunity and structure for fellow researchers to share innovative questions and analytic approaches to existing data sets as well as increase transparency. In this manuscript, we (a) describe quality indicators of secondary data analyses consistent with open science practices and (b) provide applied examples of these indicators from a sampling of published studies based on two iterations of data from the National Longitudinal Transition Study (NLTS2 and NLTS2012) with the overall goals to provide guidance to authors and peer reviewers and promote collaboration among fellow researchers engaged in secondary analyses for a range of purposes. |
| Abstractor: | As Provided |
| IES Funded: | Yes |
| Entry Date: | 2023 |
| Accession Number: | EJ1381201 |
| Database: | ERIC |
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| Abstract: | Secondary data analyses occur when new analyses are proposed for existing data. Although they are prevalent in special education research, there is little guidance on how to prepare secondary data analyses studies. Preregistration of secondary data analyses studies provides a nice opportunity and structure for fellow researchers to share innovative questions and analytic approaches to existing data sets as well as increase transparency. In this manuscript, we (a) describe quality indicators of secondary data analyses consistent with open science practices and (b) provide applied examples of these indicators from a sampling of published studies based on two iterations of data from the National Longitudinal Transition Study (NLTS2 and NLTS2012) with the overall goals to provide guidance to authors and peer reviewers and promote collaboration among fellow researchers engaged in secondary analyses for a range of purposes. |
|---|---|
| ISSN: | 0014-4029 2163-5560 |
| DOI: | 10.1177/00144029221141029 |
