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Review on Item Selection for Development of the Self-Reported Questionnaire Related to Lower Back Disorders at Workplace

MATEC Web of Conferences. 2017;135:00030 DOI 10.1051/matecconf/201713500030


Journal Homepage

Journal Title: MATEC Web of Conferences

ISSN: 2261-236X (Online)

Publisher: EDP Sciences

LCC Subject Category: Technology: Engineering (General). Civil engineering (General)

Country of publisher: France

Language of fulltext: French, English

Full-text formats available: PDF



Jaffar Nur Atifah

Abdol Rahman Mohd Nasrull


Editorial review

Editorial Board

Instructions for authors

Time From Submission to Publication: 6 weeks


Abstract | Full Text

This paper reviewed the current method in item selection available for developing self-reported questionnaire related to low back disorders at workplace. A systematic review of the literature was performed by searching using database and the searching strategy employed combined keyword for self-reported questionnaire, item selection, back disorders, and selection of items. Fourteen self-reported questionnaires related to low back disorders were review, there are different techniques implemented in selection of item in developing questionnaire. There are various techniques in selecting items in developing the questionnaire such as by surveying, correlation of item, factor analysis and by means of expert. Most of the self-reported questionnaire selected the items by survey technique based on risk factors related, where the previous self-reported questionnaires were reviewed and taken based on daily activities related to low back disorders. Thus, from the paper reviewed surveying technique were mostly used in selecting the item for the development self-reported technique with eight out of fourteen questionnaires. There are three self-reported questionnaires used in factor analysis to select the item and two self-reported questionnaires use item correlation technique to select the item for development of questionnaire. Only one self-reported questionnaire makes use of expert for selecting item in questionnaire development.