Using the score method to construct asymmetric confidence intervals: An SAS program for content validation in scale development

被引:4
|
作者
Miller, JM
Penfield, RD
机构
[1] Univ Florida, Coll Educ, Gainesville, FL 32622 USA
[2] Univ Miami, Coral Gables, FL 33124 USA
关键词
D O I
10.3758/BF03192713
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Expert review sessions are often conducted to determine the content validity of scale items. The accurate quantification of content validity is usually limited by a relatively small number of experts as well as by a small number of rating categories. These factors, combined with the bounded and discrete nature of rating scale categories, hinder use of traditional methods for computing standard errors and confidence intervals. Using an application of the score method, researchers can construct an asymmetric interval that is better suited for these situations. SAS code is provided to automate the computations, and a discussion of two methods for using the obtained results for content validation decision-making follows.
引用
收藏
页码:450 / 452
页数:3
相关论文
共 21 条
  • [1] Using the score method to construct asymmetric confidence intervals: An SAS program for content validation in scale development
    Jeffrey M. Miller
    Randall D. Penfield
    [J]. Behavior Research Methods, 2005, 37 : 450 - 452
  • [2] A score method of constructing asymmetric confidence intervals for the mean of a rating scale item
    Penfield, RD
    [J]. PSYCHOLOGICAL METHODS, 2003, 8 (02) : 149 - 163
  • [3] Proposal and validation of a method to construct confidence intervals for clinical outcomes around FROC curves for mammography CAD systems
    Bornefalk, H
    [J]. MEDICAL IMAGING 2005: IMAGE PROCESSING, PT 1-3, 2005, 5747 : 675 - 682
  • [4] Improving content validation studies using an asymmetric confidence interval for the mean of expert ratings
    Penfield, RD
    Miller, JM
    [J]. APPLIED MEASUREMENT IN EDUCATION, 2004, 17 (04) : 359 - 370
  • [5] Development and content validation of the Wheelchair Use Confidence Scale: a mixed-methods study
    Rushton, Paula W.
    Miller, William C.
    Kirby, Ronald Lee
    Eng, Janice J.
    Yip, Joanne
    [J]. DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY, 2011, 6 (01) : 57 - 66
  • [6] Development of Canadian reference intervals and confidence intervals using data mining: Application of the Arzideh statistical method
    Asgari, Shervin
    Taher, Jennifer
    Bailey, Dana
    Agbor, Terence
    Balion, Cynthia
    Cembrowski, George
    Collier, Christine
    Cosme, Jake
    Dalton, James
    Fung, Angela W. S.
    Higgins, Trefor
    Higgins, Victoria
    Ivica, Josko
    Leung, Felix
    Macri, Joseph
    Parker, Michelle
    Sarfaraz, Omair
    Seccombe, David
    Shaw, Julie
    Simons, Janet
    Stemp, Julia
    Truong, Dorothy
    Uddayasankar, Uvaraj
    Venner, Allison A.
    White-Al Habeeb, Nicole
    Adeli, Khosrow
    [J]. CLINICAL BIOCHEMISTRY, 2018, 61 : 61 - 62
  • [7] Functional Symmetry Observation Scale, Version 2: Development and Content Validation Using a Modified Delphi Method
    Rahlin, Mary
    Barnett, Joyce
    Sarmiento, Bernadette
    [J]. PEDIATRIC PHYSICAL THERAPY, 2022, 34 (01) : 37 - 44
  • [8] Commentary on "Functional Symmetry Observation Scale, Version 2: Development and Content Validation Using a Modified Delphi Method"
    Nuysink, Jacqueline
    Meijer, Sofie
    [J]. PEDIATRIC PHYSICAL THERAPY, 2022, 34 (01) : 45 - 45
  • [9] The development of the Academic Resilience Scale for undergraduates in Taiwan and its validation of the dimensionality construct using Rasch analysis
    Li, Cheng Chieh
    Wei, Chi Fang
    Tung, Yuk Ying
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2016, 51 : 940 - 941
  • [10] Development and Construct Validation of Indonesian Students Self-Confidance Scale Using Pearson Product Moment
    Hidayati, Richma
    Kusmanto, Agung Slamet
    Kiswantoro, Arista
    [J]. PEGEM EGITIM VE OGRETIM DERGISI, 2023, 13 (03): : 94 - 103