Exploring Reliability and Validity of the Values and Motives Questionnaire
Overview
This paper examines the reliability and validity of the Values and Motives Questionnaire (VMQ) as a statistical measurement instrument. It analyzes internal consistency using Cronbach Alpha coefficients and discusses the validity measures employed by the VMQ, while evaluating the representativeness of the sample population used in the instrument's development.
What this coursework covers
- Introduction defining reliability as consistency and validity as measurement accuracy
- Types of Reliability and Validity explaining internal consistency and Cronbach Alpha measures
- Reliability analysis using Cronbach Alpha coefficients with results ranging from 0.52 to 0.83
- Sample Size and Population characteristics describing the 159 participant study population
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Exploring Reliability and Validity
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Exploring Reliability and Validity
Introduction
Reliability refers to the consistency of scores in a test. It is the ability of an outcome to be replicated or repeated. On the other hand, validity refers to the extent which an instrument accurately measures what it is meant to measure (Cypress, 2017; "Values and Motives Inventory," n.d.). Scholarly researchers have been developing different instruments to use in measuring values accurately and understand them. An example of the instruments is the Values and Motives Questionnaire (VMQ). The paper undertakes an examination of the reliability and validity of the VMQ as an instrument in statistics.
Types of Reliability and Validity
A good test should always be reliable in addition to being meaningful when interpreted in contexts of relevant distribution scores. There are two specific measures helping in measuring and assessing reliability. The first one is concerned with the internal consistency of the constituent items that form a score, while the other is related to the stability of scores over time. Cronbach Alpha is the most utilized measure of internal consistency. It is also called ecoefficiency alpha, and it estimates the reliability in instruments that are not dichotomously scored. Items on scales with higher inter-correlations show that the alpha coefficient is also higher, according to VMQ ("Values and Motives Inventory," n.d.). This means that a low alpha coefficient is indicative of an error or the scale items have different items attributes.