scholarly journals Academic Self-Handicapping Scale: Development and Validation in Indian Context

2020 ◽  
Vol 13 (4) ◽  
pp. 87-102
Author(s):  
Savita Gupta ◽  
◽  
Ms. Geetika ◽  
Keyword(s):  
Scale Development ◽  
Scale Development And Validation ◽  
Indian Context ◽  
Development And Validation

scholarly journals e-Learning quality: Scale development and validation in Indian context

2012 ◽  
pp. 500-517
Keyword(s):  
Factor Analysis ◽  
Scale Development ◽  
Point Of View ◽  
Covariance Model ◽  
Measurement Scales ◽  
Scale Development And Validation ◽  
Indian Context ◽  
Quality Scale ◽  
E Learning ◽  
Development And Validation

The aim of this paper is to develop a reliable and valid e-learning quality measurement scales from the learner as well as faculty perspectives in Indian context. Exploratory factor analysis followed by confirmatory factor analysis was done which is presented in two forms; covariance model and the structural model. The covariance model shows that the factors namely collaboration, industry acceptance and value addition are important from the learner’s point of view whereas the factors namely transparency in assessment, technical know-how and engagement (from students) are important from faculty point of view. Factors namely course content and design structures (technology/website design) are found equally important for learner’s as well as faculty’s perspective. The structural models validate the previously extracted factors along with their indicators. The findings of this study validate the long held belief that e-learning quality is a multidimensional construct and serves as a critical success factor. The proposed scale will help in identifying issues that contribute towards e-learning quality in Indian context and thereby formulating strategies accordingly, resulting in efficient (in terms of cost) and effective (outcomes) e-learning practices, which is the necessity of the hour for the economic development of the country. A fair amount of literature on e-learning dealt with identifying factors explaining the constructs of quality, perceived value and satisfaction. But there is paucity of research pertaining to e-learning quality scale development and validation from the learner as well as faculty perspective. This study is an attempt to bridge this gap in the existing literature.

Death-Related Status Consumption: Scale Development and Validation

2021 ◽  
pp. 003022282110162
Author(s):  
Hakan Cengiz ◽  
Omer Torlak
Keyword(s):  
Scale Development ◽  
Internal Consistency ◽  
Culturally Diverse ◽  
Three Dimensions ◽  
Status Consumption ◽  
Scale Development And Validation ◽  
Domain Specific ◽  
Development And Validation ◽  
The U.S

Although it has been widely discussed in the literature, no scale has yet been developed to measure the consumption aspect of death. This study aims to develop a domain-specific death-related status consumption (DRSC) scale to bridge this gap in the field. Results reveal the following three dimensions of the scale: conspicuousness, planning, and showing respect. In four studies, which collate the views of 1,302 participants, both students and adults, the DRSC demonstrates internal consistency and validity across cultures (Turkey, the U.S., and culturally diverse sample). The importance of such a scale for the field is discussed.

Revisiting rating scale development for rater-mediated language performance assessments: Modelling construct and contextual choices made by scale developers

2021 ◽  
pp. 026553222199405
Author(s):  
Ute Knoch ◽  
Bart Deygers ◽  
Apichat Khamboonruang
Keyword(s):  
Scale Development ◽  
Rating Scale ◽  
Language Assessment ◽  
Performance Assessments ◽  
Language Performance ◽  
Scale Development And Validation ◽  
Post Test ◽  
Development And Validation ◽  
The Impact ◽  
Different Sources

Rating scale development in the field of language assessment is often considered in dichotomous ways: It is assumed to be guided either by expert intuition or by drawing on performance data. Even though quite a few authors have argued that rating scale development is rarely so easily classifiable, this dyadic view has dominated language testing research for over a decade. In this paper we refine the dominant model of rating scale development by drawing on a corpus of 36 studies identified in a systematic review. We present a model showing the different sources of scale construct in the corpus. In the discussion, we argue that rating scale designers, just like test developers more broadly, need to start by determining the purpose of the test, the relevant policies that guide test development and score use, and the intended score use when considering the design choices available to them. These include considering the impact of such sources on the generalizability of the scores, the precision of the post-test predictions that can be made about test takers’ future performances and scoring reliability. The most important contributions of the model are that it gives rating scale developers a framework to consider prior to starting scale development and validation activities.

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