Developing and validating a questionnaire to measure spirituality Chatear en avatar de sexo
Understanding the relationship between the level of measurement and the appropriateness of data analysis is important.
For example, if ANOVA (analysis of variance) is one mode of data analysis, the independent variable must be measured on a nominal scale with two or more levels (yes, no, not sure), and the dependent variable must be measured on a interval/ratio scale (strongly agree to strongly disagree).
Following these five steps in questionnaire development and testing will enhance data quality and utilization of research.
Questionnaires are the most frequently used data collection method in educational and evaluation research.
Scales are devices used to quantify a subject's response on a particular variable.
For example, the researcher must indicate what the questionnaire is measuring, that is, knowledge, attitudes, perceptions, opinions, recalling facts, behavior change, etc.
Major variables (independent, dependent, and moderator variables) are identified and defined in this step.
Groves (1987) defines measurement error as the "discrepancy between respondents' attributes and their survey responses" (p. Development of a valid and reliable questionnaire involves several steps taking considerable time.
This article describes the sequential steps involved in the development and testing of questionnaires used for data collection.
Approval from the Institutional Review Board (IRB) must also be obtained.