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Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal , ordinal , interval , and ratio .
The Personality Assessment Inventory has validity scales to measure inconsistency (the degree to which respondents answer similar questions in the same way), infrequency (the degree to which respondents rate extremely bizarre or unusual statements as true), positive impression (the degree to which respondents describe themselves in a positive ...
Test construction strategies are the various ways that items in a psychological measure are created and decided upon. They are most often associated with personality tests but can also be applied to other psychological constructs such as mood or psychopathology .
Experimental methods are very popular in psychology, going back more than 100 years. Experimental psychology is a sub-discipline of psychology . Statistical methods applied for designing and analyzing experimental psychological data include the t-test, ANOVA, ANCOVA, MANOVA, MANCOVA, binomial test, chi-square, etc.
The DES helps measure mood based on Carroll Izard's differential emotions theory, [3] The DES consists of thirty items, three for each of the ten fundamental emotions as visualized by Izard: interest, joy, surprise, sadness, anger, disgust, contempt, fear, shame/ shyness, and guilt, which are represented on 5-point Likert scale. [4]
Symptom and attitude tests are more often called scales. A useful psychological test/scale must be both valid, i.e., show evidence that the test or scale measures what it is purported to measure, [1] [4]) and reliable, i.e., show evidence of consistency across items and raters and over time, etc.
The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. [3] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.
Composite measure in statistics and research design refer to composite measures of variables, i.e. measurements based on multiple data items. [1] An example of a composite measure is an IQ test, which gives a single score based on a series of responses to various questions. Three common composite measures include: