Validating research instruments first step dating
It could be adapted from an already tested one or could be developed as a new data tool specific to measure or quantify a particular attribute.These conditions therefore warrant the need to test validity and reliability of questionnaire.He wants to ensure that the questions (in the questionnaire) fully represent the domain of attitudes towards the occupational hazard prevention.The development of a content valid instrument is typically achieved by a rational analysis of the instrument by raters (experts) familiar with the construct of interest or experts on the research subject.
To achieve the stated goal, the author reviewed currents articles (both print and online), scientific textbooks, lecture notes/presentations and health programme papers.Several varieties have been described, including face validity, construct validity, content validity and criterion validity (which could be concurrent and predictive validity).These validity tests are categorised into two broad components namely; internal and external validities. It is the mostly used data collection instrument in health and social science research.From the author's personal observation among researchers in developing countries, most students and young researchers are not able to distinguish validity from reliability.
Likewise, they do not have the prerequisite to understand the principles that underline validity and reliability testing of a research measurement tool.
The Fog Index, Flesch Reading Ease, Flesch-Kincaid readability formula and Gunning-Fog Index are formulas that have also been used to determine readability in validity.
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