Meta-analytic data of interventions to improve test-taking effort and test performance on low-stakes educational assessments

2019-06-04
Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Collection period

Date completed

2019-03-15

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Meta-analytic data of interventions to improve test-taking effort and test performance on low-stakes educational assessments

Published Date

2019-06-04

Group

Author Contact

Rios, Joseph A
jrios@umn.edu

Type

Dataset
Other Dataset

Abstract

The data come from a meta-analysis investigating the impact of interventions for improving test-taking effort and test performance on low-stakes educational assessments. The data were collected from 53 studies that (a) used a treatment-control group design, (b) administered a low-stakes group-based educational assessment, and (c) evaluated test-taking effort and/or test performance as outcomes. In total, there are 60 and 105 effect sizes for test-taking effort and test performance, respectively, along with study, sample, and moderator characteristics.

Description

Referenced by

Related to

Replaces

item.page.isreplacedby

Publisher

Funding information

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Rios, Joseph A. (2019). Meta-analytic data of interventions to improve test-taking effort and test performance on low-stakes educational assessments. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://hdl.handle.net/11299/203391.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.