scholarly journals Sexuality and contraceptive knowledge in university students: instrument development and psychometric analysis using item response theory

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Sebastian Sanz-Martos ◽  
Isabel M. López-Medina ◽  
Cristina Álvarez-García ◽  
Carmen Álvarez-Nieto
2001 ◽  
Vol 9 (1) ◽  
pp. 5-22 ◽  
Author(s):  
Cheryl T. Beck ◽  
Robert K. Gable

The benefits of item response theory (IRT) analysis in obtaining empirical support for construct validity make it an essential step in the instrument development process. IRT analysis can result in finer construct interpretations that lead to more thorough descriptions of low- and high-scoring respondents. A critical function of IRT is its ability to determine the adequacy with which the attitude continuum underlying each dimension is assessed by the respective items in an instrument. Many nurse researchers, however, are not reaping the benefits of IRT in the development of affective instruments. The purpose of this article is to familiarize nurse researchers with this valuable approach through a description of the Facets computer program. Facets uses a one parameter (i.e., item difficulty) Rasch measurement model. Data from a survey of 525 new mothers that assessed the psychometric properties of the Postpartum Depresssion Screening Scale are used to illustrate the Facets program. It is hoped that IRT will gain increased prominence in affective instrument development as more nurse researchers become aware of computer programs such as Facets to assist in analysis.


2016 ◽  
Vol 44 (2) ◽  
pp. 226-236
Author(s):  
Joseph R. Miles ◽  
Brent Mallinckrodt ◽  
Daniela A. Recabarren

2020 ◽  
Vol 10 (2) ◽  
pp. 188
Author(s):  
Mohammad Al-Dlalah ◽  
Hani Alkhaldi ◽  
Malek Alkhutaba ◽  
Taghreed Al-Momani

Nowadays, E-learning is one of the most inevitable technique and learning approach, because it offers indispensable advancement of the education process. Furthermore, it supports and enhances many facets of the learning process. This study aimed to build an attitude scale about e-learning among Isra University students according to the item response theory (IRT) in measurement. To achieve the study’s objectives, the main dimensions of the scale were identified, and 44 items were unevenly formatted. The tool was applied to 550 students who were social media users at Isra University. After analyzing the participants’ responses according to IRT, the final form of the scale consisted of 29 items that were divided into three main dimensions. The reliability of the scale was 0.94%, while the scale had multiple indications of validation.


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