Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points

The increasing use of computerized adaptive tests (CATs) to collect information about students' academic growth or their response to academic interventions has led to a number of questions pertaining to the use of these measures for the purpose of progress monitoring. Star Reading is an example...

Full description

Bibliographic Details
Main Authors: Okan Bulut, Damien C. Cormier
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Education
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/feduc.2018.00068/full
id doaj-71a459aa2e7b4da0a6ef16a495971472
record_format Article
spelling doaj-71a459aa2e7b4da0a6ef16a4959714722020-11-25T01:37:46ZengFrontiers Media S.A.Frontiers in Education2504-284X2018-08-01310.3389/feduc.2018.00068407517Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data PointsOkan BulutDamien C. CormierThe increasing use of computerized adaptive tests (CATs) to collect information about students' academic growth or their response to academic interventions has led to a number of questions pertaining to the use of these measures for the purpose of progress monitoring. Star Reading is an example of a CAT-based assessment with considerable validity evidence to support its use for progress monitoring. However, additional validity evidence could be gathered to strengthen the use and interpretation of Star Reading data for progress monitoring. Thus, the purpose of the current study was to focus on three aspects of progress monitoring that will benefit Star Reading users. The specific research questions to be answered are: (a) how robust are the estimation methods in producing meaningful progress monitoring slopes in the presence of outliers; (b) what is the length of the time interval needed to use Star Reading for the purpose of progress monitoring; and (c) how many data points are needed to use Star Reading for the purpose of progress monitoring? The first research question was examined using a Monte Carlo simulation study. The second and third research questions were examined using real data from 6,396,145 students who took the Star Reading assessment during the 2014–2015 school year. Results suggest that the Theil-Sen estimator is the most robust estimator of student growth when using Star Reading. In addition, it appears that five data points and a progress monitoring window of approximately 20 weeks appear to be the minimum parameters for Star Reading to be used for the purpose of progress monitoring. Implications for practice include adapting the parameters for progress monitoring according to a student's current grade-level performance in reading.https://www.frontiersin.org/article/10.3389/feduc.2018.00068/fullstar readingprogress monitoringslope analysisreading comprehensionvalidity
collection DOAJ
language English
format Article
sources DOAJ
author Okan Bulut
Damien C. Cormier
spellingShingle Okan Bulut
Damien C. Cormier
Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points
Frontiers in Education
star reading
progress monitoring
slope analysis
reading comprehension
validity
author_facet Okan Bulut
Damien C. Cormier
author_sort Okan Bulut
title Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points
title_short Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points
title_full Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points
title_fullStr Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points
title_full_unstemmed Validity Evidence for Progress Monitoring With Star Reading: Slope Estimates, Administration Frequency, and Number of Data Points
title_sort validity evidence for progress monitoring with star reading: slope estimates, administration frequency, and number of data points
publisher Frontiers Media S.A.
series Frontiers in Education
issn 2504-284X
publishDate 2018-08-01
description The increasing use of computerized adaptive tests (CATs) to collect information about students' academic growth or their response to academic interventions has led to a number of questions pertaining to the use of these measures for the purpose of progress monitoring. Star Reading is an example of a CAT-based assessment with considerable validity evidence to support its use for progress monitoring. However, additional validity evidence could be gathered to strengthen the use and interpretation of Star Reading data for progress monitoring. Thus, the purpose of the current study was to focus on three aspects of progress monitoring that will benefit Star Reading users. The specific research questions to be answered are: (a) how robust are the estimation methods in producing meaningful progress monitoring slopes in the presence of outliers; (b) what is the length of the time interval needed to use Star Reading for the purpose of progress monitoring; and (c) how many data points are needed to use Star Reading for the purpose of progress monitoring? The first research question was examined using a Monte Carlo simulation study. The second and third research questions were examined using real data from 6,396,145 students who took the Star Reading assessment during the 2014–2015 school year. Results suggest that the Theil-Sen estimator is the most robust estimator of student growth when using Star Reading. In addition, it appears that five data points and a progress monitoring window of approximately 20 weeks appear to be the minimum parameters for Star Reading to be used for the purpose of progress monitoring. Implications for practice include adapting the parameters for progress monitoring according to a student's current grade-level performance in reading.
topic star reading
progress monitoring
slope analysis
reading comprehension
validity
url https://www.frontiersin.org/article/10.3389/feduc.2018.00068/full
work_keys_str_mv AT okanbulut validityevidenceforprogressmonitoringwithstarreadingslopeestimatesadministrationfrequencyandnumberofdatapoints
AT damienccormier validityevidenceforprogressmonitoringwithstarreadingslopeestimatesadministrationfrequencyandnumberofdatapoints
_version_ 1725057505135951872