2021
DOI: 10.1016/j.jsp.2021.01.001
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Are ratings in the eye of the beholder? A non-technical primer on many facet Rasch measurement to evaluate rater effects on teacher behavior rating scales

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Cited by 7 publications
(8 citation statements)
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“…Despite the conceptualization of DBR as more objective than standard behavior rating scales, "rater effects" (variability in assigned ratings that is due to the rater and not the student being rated 1 ; Engelhard & Wind, 2017) have been documented to be present for DBR between raters using GT studies (e.g., Christ et al, 2010) just as they are for other indirect behavior assessment methods (e.g., teacher behavior rating scales; Styck et al, 2021). Various recommendations have been made to address between-rater differences in DBR as a result of this GT research through standardizing administration procedures, such as, only using DBR for intrapersonal decisions (e.g., progress monitoring), training raters prior to using DBR (e.g., Briesch et al, 2010), and keeping the rater constant.…”
Section: Methods For Considering Rater Effectsmentioning
confidence: 99%
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“…Despite the conceptualization of DBR as more objective than standard behavior rating scales, "rater effects" (variability in assigned ratings that is due to the rater and not the student being rated 1 ; Engelhard & Wind, 2017) have been documented to be present for DBR between raters using GT studies (e.g., Christ et al, 2010) just as they are for other indirect behavior assessment methods (e.g., teacher behavior rating scales; Styck et al, 2021). Various recommendations have been made to address between-rater differences in DBR as a result of this GT research through standardizing administration procedures, such as, only using DBR for intrapersonal decisions (e.g., progress monitoring), training raters prior to using DBR (e.g., Briesch et al, 2010), and keeping the rater constant.…”
Section: Methods For Considering Rater Effectsmentioning
confidence: 99%
“…However, another analytic approach to considering rater effects has yet to be applied to DBR scores. Specifically, the many-facet Rasch measurement (MFRM; Linacre, 2018) approach offers several advantages for consideration of rater effects (e.g., Styck et al, 2021) including providing the opportunity for a finer-grained consideration of the scope and nature of rater effects as well as their individual impact on scores. Thus, the purpose of this study was to apply MFRM to DBRs to evaluate the scope, nature, and impact of rater effects on DBR scores.…”
Section: Direct Behavior Ratingsmentioning
confidence: 99%
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“…The rating data were analyzed using Many-Facet Rasch Measurement (MFRM) with the software FACETS (Version No.3.82.2) (Linacre, 2018b ). MFRM is an analytic approach in the rater-mediated assessment that allows for fine-grained evaluation of the rating behavior of individual raters and estimation of student proficiency while adjusting for differences in rater variability (Styck et al, 2021 ). It also allows examination of other aspects of the rating scenario, such as the rubric, and interaction between factors (Myford and Wolfe, 2003 , 2004 ).…”
Section: Methodsmentioning
confidence: 99%