Generalizability of Scaling Gradients on Direct Behavior Ratings

被引:23
|
作者
Chafouleas, Sandra M. [1 ]
Christ, Theodore J. [2 ]
Riley-Tillman, T. Chris [3 ]
机构
[1] Univ Connecticut, Dept Educ Psychol, Storrs, CT 06269 USA
[2] Univ Minnesota, Minneapolis, MN 55455 USA
[3] E Carolina Univ, Greenville, NC 27858 USA
关键词
Direct Behavior Rating; generalizability; dependability; scale gradients; rating scale; OPTIMAL NUMBER; MONTE-CARLO; RESPONSE CATEGORIES; LIKERT-SCALE; REPORT CARDS; RELIABILITY; DEPENDABILITY; ALTERNATIVES; CHILDREN;
D O I
10.1177/0013164408322005
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Generalizability theory is used to examine the impact of scaling gradients on a single-item Direct Behavior Rating (DBR). A DBR refers to a type of rating scale used to efficiently record target behavior(s) following an observation occasion. Variance components associated with scale gradients are estimated using a random effects design for persons (p) by raters (r) by occasions (o). Data from 106 undergraduate student participants are used in the analysis. Each participant viewed and rated video clips of six elementary-aged students who were engaged in a difficult task. Participant ratings are collected three times for each of two behaviors within three scale gradient conditions (6-, 10-, 14- point scale). Scale gradient does not substantially contribute to the magnitude of observed score variances. In contrast, the largest proportions of variance are attributed to rater and error across all scale gradient conditions. Implications, limitations, and future research considerations are discussed.
引用
收藏
页码:157 / 173
页数:17
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