Reliability of Ratings of Multidimensional Fluency Scale with Many-Facet Rasch Model

被引:1
|
作者
Arikan, Cigdem Akin [1 ]
Uysal, Pinar Kanik [2 ]
Bilge, Huzeyfe [1 ]
Yildirim, Kasim [2 ]
机构
[1] Ordu Univ, Fac Educ, Dept Measurement & Evaluat Educ, Ordu, Turkey
[2] Ordu Univ, Fac Educ, Turkish Language Teaching Dept, Ordu, Turkey
关键词
Rater bias; Rubric; Reading fluency; Prosody; Many-facet Rasch model; Rater reliability; READING FLUENCY; READERS; PROFICIENCY; INSTRUCTION;
D O I
10.21449/ijate.974214
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The aim of this study was to determine whether the reliability of raters was provided by assessing reading prosody using the Multidimensional Fluency Scale (MDFS). The study was completed with a cross-sectional design, and in line with this, the prosodic reading skills of 41 fifth-grade students were rated by elementary school classroom teachers and Turkish language arts teachers using the MDFS. Data obtained from the ratings were analyzed with the many-facet Rasch model (MFRM). When the findings are investigated, the reading prosody rubric used in the research served the purposes of the reading prosody criteria, the subdimensions of the rubric could be reliably differentiated, the determined criteria were reliable, and the criteria categories appear to be adequate. Additionally, the severity and leniency of raters were found to differ, and Turkish language arts teachers were found to perform more severe ratings than classroom teachers. It was found that raters were ranked reliably in terms of severity/leniency, and that their levels of severity/leniency differed from each other. Another result obtained is that the prosody criterion that students completed with the most difficulty was phrasing. Therefore, it was concluded that the MDFS is a reliable rubric and that researchers and teachers can reliably use it to assess prosodic reading skills.
引用
收藏
页码:470 / 491
页数:22
相关论文
共 50 条
  • [1] Comparing Many-facet Rasch Model and ANOVA model: Analysis of ratings of essays
    Yamauchi, K
    [J]. JAPANESE JOURNAL OF EDUCATIONAL PSYCHOLOGY, 1999, 47 (03): : 383 - 392
  • [2] Assessing the Reliability of the Framework for Equitable and Effective Teaching With the Many-Facet Rasch Model
    Govindasamy, Priyalatha
    Salazar, Maria del Carmen
    Lerner, Jessica
    Green, Kathy E.
    [J]. FRONTIERS IN PSYCHOLOGY, 2019, 10
  • [3] A multidimensional generalized many-facet Rasch model for rubric-based performance assessment
    Uto M.
    [J]. Behaviormetrika, 2021, 48 (2) : 425 - 457
  • [4] Evaluation of ratings: Psychometric quality assurance via many-facet Rasch measurement
    Eckes, T
    [J]. ZEITSCHRIFT FUR PSYCHOLOGIE-JOURNAL OF PSYCHOLOGY, 2005, 213 (02): : 77 - 96
  • [5] Evaluation of open items using the many-facet Rasch model
    Lopes Toffoli, Sonia Ferreira
    de Andrade, Dalton Francisco
    Bornia, Antonio Cezar
    [J]. JOURNAL OF APPLIED STATISTICS, 2016, 43 (02) : 299 - 316
  • [6] Analyzing Microteaching Applications with Many-facet Rasch Measurement Model
    Semerci, Cetin
    [J]. EGITIM VE BILIM-EDUCATION AND SCIENCE, 2011, 36 (161): : 14 - 25
  • [7] Many-facet rasch analysis of person judgments
    Eckes, Thomas
    [J]. ZEITSCHRIFT FUR SOZIALPSYCHOLOGIE, 2006, 37 (03): : 185 - 195
  • [8] Validating Translation Test Items via the Many-Facet Rasch Model
    Tseng, Wen-Ta
    Su, Tzi-Ying
    Nix, John-Michael L.
    [J]. PSYCHOLOGICAL REPORTS, 2019, 122 (02) : 748 - 772
  • [9] Generalizability theory and many-facet Rasch measurement
    Linacre, JM
    [J]. OBJECTIVE MEASUREMENT: THEORY INTO PRACTICE, VOL 3, 1996, : 85 - 98
  • [10] Application of Many-facet Rasch Model in In-basket Tests in China
    Yao, Ruosong
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND INFORMATION TECHNOLOGY, 2015, 35 : 178 - 182