Improving Questionnaire Reliability using Construct Reliability for Researches in Educational Technology

Dublin Core

Title

Improving Questionnaire Reliability using Construct Reliability for Researches in Educational Technology

Subject

Educational Technology
Online Learning
Questionnaire Reliability
Con-struct Reliability

Description

This paper is exploring on maneuver to improve research instrument reliability in scientific research related to Educational Technology by analyzing the traditional Cronbach’s alpha reliability using SPSS software and the newer statistical tool, AMOS using Construct Reliability (CR) approach. Two sets of data were used as sample to perform the comparison. The first set of data is from a research involving Technology Enhanced Learning Environment. The second data are sampled from research in digital competency. Finding from this paper concluded that, conventional approach of using Cronbach’s alpha have lower reliability than the newer approach of using CR. Using Cronbach’s alpha show tendency toward measuring consistency instead of reliability. CR offer better definition of reliability and give a robust measurement of reliability in research. This paper had shed light into offering alternative approach to the commonly and widely uses of research reliability especially when it involves questionnaire as instrument.

Creator

Shafie Rosli, Mohd
Saleh, Nor Shela
Alshammari, Sultan Hammad
Ibrahim, Mohd Mokhzani
Atan, Azri Syazwan
Atan, Noor Azean

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 04 (2021); pp. 109-116
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2021-02-26

Rights

Copyright (c) 2021 Mohd Shafie Rosli, Nor Shela Saleh, Sultan Hammad Alshammari, Mohd Mokhzani Ibrahim, Azri Syazwan Atan, Noor Azean Atan

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Non-refereed Article

Identifier

Citation

Shafie Rosli, Mohd et al., Improving Questionnaire Reliability using Construct Reliability for Researches in Educational Technology, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed September 25, 2024, https://igi.indrastra.com/items/show/1916

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