Training Structural Awareness with StatHand: A 1 Year Follow-Up

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Bibliographic Details
Title: Training Structural Awareness with StatHand: A 1 Year Follow-Up
Language: English
Authors: Allen, Peter J. (ORCID 0000-0002-9690-1545), Fielding, Jessica L., Westermann, Annabel H., Lafratta, Amelia M.
Source: Teaching of Psychology. Apr 2022 49(2):136-143.
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: http://sagepub.com
Peer Reviewed: Y
Page Count: 8
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistical Analysis, Statistics Education, Instructional Effectiveness, Selection, Computer Uses in Education, Research Design, Research Training, Undergraduate Students
DOI: 10.1177/0098628320985080
ISSN: 0098-6283
Abstract: Background: Allen, Fielding, East, et al. demonstrated experimentally that structural awareness, or the ability to disregard a research problem's topic and instead focus on its structural features, can be trained using StatHand (https://stathand.net). Most training benefits persisted for 1 week. Objective: The objective was to assess the longer-term effects of training. Method: One year after training (or control activities), 54 participants were re-administered 5 measures of structural awareness and 1 statistic selection measure. Results: Trained participants continued to reliably out-perform control participants on 4 measures of structural awareness, though no longer on the 5th. Over the year, decrements in trained participants' performance on the 5 structural awareness measures were mostly small. However, 1 year after training, the trained participants' statistic selection advantage had largely disappeared. Conclusion: Brief structural awareness training can have long-term benefits, though selecting an appropriate statistical test for common research scenarios without assistance remains a difficult task. Teaching Implications: Structural awareness can be trained. However, even structurally aware students cannot reliably select appropriate statistics without assistance. Training plus easy access to a decision-making aid should maximize statistic selection accuracy. Our evidence-based training methods and materials, including StatHand, can be freely used and adapted for these purposes.
Abstractor: As Provided
Notes: https://osf.io/p7b4m
Entry Date: 2022
Accession Number: EJ1334219
Database: ERIC
Description
Abstract:Background: Allen, Fielding, East, et al. demonstrated experimentally that structural awareness, or the ability to disregard a research problem's topic and instead focus on its structural features, can be trained using StatHand (https://stathand.net). Most training benefits persisted for 1 week. Objective: The objective was to assess the longer-term effects of training. Method: One year after training (or control activities), 54 participants were re-administered 5 measures of structural awareness and 1 statistic selection measure. Results: Trained participants continued to reliably out-perform control participants on 4 measures of structural awareness, though no longer on the 5th. Over the year, decrements in trained participants' performance on the 5 structural awareness measures were mostly small. However, 1 year after training, the trained participants' statistic selection advantage had largely disappeared. Conclusion: Brief structural awareness training can have long-term benefits, though selecting an appropriate statistical test for common research scenarios without assistance remains a difficult task. Teaching Implications: Structural awareness can be trained. However, even structurally aware students cannot reliably select appropriate statistics without assistance. Training plus easy access to a decision-making aid should maximize statistic selection accuracy. Our evidence-based training methods and materials, including StatHand, can be freely used and adapted for these purposes.
ISSN:0098-6283
DOI:10.1177/0098628320985080