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Construct validity concerns how well a set of indicators represent or reflect a concept that is not directly measurable. [1][2][3] Construct validation is the accumulation of evidence to support the interpretation of what a measure reflects. [1][4][5][6] Modern validity theory defines construct validity as the overarching concern of validity ...
Questionnaires are frequently used in quantitative marketing research and social research. They are a valuable method of collecting a wide range of information from a large number of individuals, often referred to as respondents. What is often referred to as "adequate questionnaire construction" is critical to the success of a survey.
The Vividness of Visual Imagery Questionnaire (VVIQ) was developed in 1973 by the British psychologist David Marks. [1] The VVIQ consists of 16 items in four groups of 4 items in which the participant is invited to consider the mental image formed in thinking about specific scenes and situations. The vividness of the image is rated along a 5 ...
Multitrait-multimethod matrix. The multitrait-multimethod (MTMM) matrix is an approach to examining construct validity developed by Campbell and Fiske (1959). [1] It organizes convergent and discriminant validity evidence for comparison of how a measure relates to other measures. The conceptual approach has influenced experimental design and ...
The Thematic Apperception Test (TAT) is a projective psychological test developed during the 1930s by Henry A. Murray and Christiana D. Morgan at Harvard University. Proponents of the technique assert that subjects' responses, in the narratives they make up about ambiguous pictures of people, reveal their underlying motives, concerns, and the ...
Direct concept validity (sometimes called construct validity) refers to the degree to which a certain scale correlates with the concept or construct (i.e., source trait) which it purports to measure. Concept validity is thus measured by correlating the scale with the pure factor and this can only be carried out by performing a methodologically ...
Confirmatory factor analysis. In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social science research. [1] It is used to test whether measures of a construct are consistent with a researcher's understanding of the nature of that construct (or factor).
There are a lack of studies that support the construct validity of the CD-RISC. In order for a measure to demonstrate good construct validity, it needs to be based on a complex, detailed theoretical construct (i.e., nomological network). If the measure has good construct validity, then it should "behave" as a measure of this complex concept ...