Discriminant Validity
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Discriminant Validity
In psychology, discriminant validity tests whether concepts or measurements that are not supposed to be related are actually unrelated. Campbell and Fiske (1959) introduced the concept of discriminant validity within their discussion on evaluating test validity. They stressed the importance of using both discriminant and Convergent validity, convergent validation techniques when assessing new tests. A successful evaluation of discriminant validity shows that a test of a concept is not highly correlated with other tests designed to measure theoretically different concepts. In showing that two scales do not correlate, it is necessary to correct for attenuation in the correlation due to measurement error. It is possible to calculate the extent to which the two scales overlap by using the following formula where r_ is correlation between x and y, r_ is the reliability of x, and r_ is the reliability of y: :\cfrac Although there is no standard value for discriminant validity, a result ...
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Psychology
Psychology is the scientific study of mind and behavior. Psychology includes the study of conscious and unconscious phenomena, including feelings and thoughts. It is an academic discipline of immense scope, crossing the boundaries between the natural and social sciences. Psychologists seek an understanding of the emergent properties of brains, linking the discipline to neuroscience. As social scientists, psychologists aim to understand the behavior of individuals and groups.Fernald LD (2008)''Psychology: Six perspectives'' (pp.12–15). Thousand Oaks, CA: Sage Publications.Hockenbury & Hockenbury. Psychology. Worth Publishers, 2010. Ψ (''psi''), the first letter of the Greek word ''psyche'' from which the term psychology is derived (see below), is commonly associated with the science. A professional practitioner or researcher involved in the discipline is called a psychologist. Some psychologists can also be classified as behavioral or cognitive scientists. Some psyc ...
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Test Validity
Test validity is the extent to which a test (such as a chemical test, chemical, physical test, physical, or test (assessment), scholastic test) accuracy and precision, accurately measures what it is supposed to measure. In the fields of psychological testing and test (assessment), educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests".American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (1999) ''Standards for educational and psychological testing''. Washington, DC: American Educational Research Association. Although classical models divided the concept into various "validities" (such as content validity, criterion validity, and construct validity),Guion, R. M. (1980). On trinitarian doctrines of validity. ''Professional Psychology, 11'', 385-398. the currently dominant view is that validity is a single unitar ...
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Convergent Validity
Convergent validity, for human cognition, especially within sociology, psychology, and other behavioral sciences, refers to the degree to which two measures that theoretically should be related, are in fact related. Convergent validity, along with discriminant validity, is a subtype of construct validity. Convergent validity can be established if two similar constructs correspond with one another, while discriminant validity applies to two dissimilar constructs that are easily differentiated. Campbell and Fiske (1959) developed the Multitrait-Multimethod Matrix to assess the construct validity of a set of measures in a study. The approach stresses the importance of using both discriminant and convergent validation techniques when assessing new tests. In other words, in order to establish construct validity, you have to demonstrate both convergence and discrimination. Evaluation/application Convergent validity can be estimated using correlation coefficients. A successful evaluati ...
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Narcissism
Narcissism is a self-centered personality style characterized as having an excessive interest in one's physical appearance or image and an excessive preoccupation with one's own needs, often at the expense of others. Narcissism exists on a continuum that ranges from normal to abnormal personality expression. While there exists normal, healthy levels of narcissism in humans, there are also more extreme levels of narcissism, being seen particularly in people who are self-absorbed, or people who have a pathological mental illness like narcissistic personality disorder. It is one of the traits featured in the dark triad, along with Machiavellianism (psychology), Machiavellianism and subclinical psychopathy. History of thought The term "narcissism" comes from the Roman poet Ovid's ''Metamorphoses'', written in the year 8 AD. Book III of the poem tells the mythical story of a handsome young man, Narcissus (mythology), Narcissus, who spurns the advances of many potential lovers. ...
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Self-esteem
Self-esteem is confidence in one's own worth or abilities. Self-esteem encompasses beliefs about oneself (for example, "I am loved", "I am worthy") as well as emotional states, such as triumph, despair, pride, and shame. Smith and Mackie (2007) defined it by saying "The self-concept is what we think about the self; self-esteem, is the positive or negative evaluations of the self, as in how we feel about it." Self-esteem is an attractive psychological construct because it predicts certain outcomes, such as academic achievement, happiness, satisfaction in marriage and relationships, and criminal behavior. Self-esteem can apply to a specific attribute or globally. Psychologists usually regard self-esteem as an enduring personality characteristic (''trait self-esteem''), though normal, short-term variations (''state self-esteem'') also exist. Synonyms or near-synonyms of self-esteem include: self-worth, self-regard, self-respect, and self-integrity. History The concept of self-estee ...
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Structural Equation Model
Structural equation modeling (SEM) is a label for a diverse set of methods used by scientists in both experimental and observational research across the sciences, business, and other fields. It is used most in the social and behavioral sciences. A definition of SEM is difficult without reference to highly technical language, but a good starting place is the name itself. SEM involves the construction of a ''model'', to represent how various aspects of an observable or theoretical phenomenon are thought to be causally structurally related to one another. The ''structural'' aspect of the model implies theoretical associations between variables that represent the phenomenon under investigation. The postulated causal structuring is often depicted with arrows representing causal connections between variables (as in Figures 1 and 2) but these causal connections can be equivalently represented as equations. The causal structures imply that specific patterns of connections should appe ...
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Exploratory Factor Analysis
In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set of variables. EFA is a technique within factor analysis whose overarching goal is to identify the underlying relationships between measured variables. It is commonly used by researchers when developing a scale (a ''scale'' is a collection of questions used to measure a particular research topic) and serves to identify a set of latent constructs underlying a battery of measured variables. It should be used when the researcher has no ''a priori'' hypothesis about factors or patterns of measured variables. ''Measured variables'' are any one of several attributes of people that may be observed and measured. Examples of measured variables could be the physical height, weight, and pulse rate of a human being. Usually, researchers would have a large number of measured variables, which are assumed to be related to a smaller number of "un ...
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Average Variance Extracted
In statistics (classical test theory), average variance extracted (AVE) is a measure of the amount of variance that is captured by a construct in relation to the amount of variance due to measurement error.Fornell & Larcker (1981), https://www.jstor.org/stable/3151312 History The average variance extracted was first proposed by Fornell & Larcker (1981). Calculation The average variance extracted can be calculated as follows: : \text = \frac Here, k is the number of items, \lambda_i the factor loading of item i and \operatorname( e_i ) the variance of the error of item i. Role for assessing discriminant validity The average variance extracted has often been used to assess discriminant validity based on the following "rule of thumb": the positive square root of the AVE for each of the latent variables should be higher than the highest correlation with any other latent variable. If that is the case, discriminant validity is established at the construct level. This rule i ...
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Concurrent Validity
Concurrent validity is a type of evidence that can be gathered to defend the use of a test for predicting other outcomes. It is a parameter used in sociology, psychology, and other Psychometrics, psychometric or behavioral sciences. Concurrent validity is demonstrated when a test correlates well with a measure that has previously been Validity (statistics), validated. The two measures may be for the same construct, but more often used for different, but presumably related, constructs. The two measures in the study are taken at the same time. This is in contrast to predictive validity, where one measure occurs earlier and is meant to predict some later measure.McIntire, S.A. and Miller, L.A., Foundations of Psychological Testing,2nd Edition, Sage Publishing Co., 2005. In both cases, the (concurrent) predictive power of the test is analyzed using a simple correlation or linear regression. Alignment with classical conceptions of validity Concurrent validity and predictive validity ar ...
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Construct Validity
Construct validity concerns how well a set of indicators represent or reflect a concept that is not directly measurable. ''Construct validation'' is the accumulation of evidence to support the interpretation of what a measure reflects.Polit DF Beck CT (2012). Nursing Research: Generating and Assessing Evidence for Nursing Practice, 9th ed. Philadelphia, USA: Wolters Klower Health, Lippincott Williams & Wilkins Modern validity theory defines construct validity as the overarching concern of validity research, subsuming all other types of validity evidence such as content validity and criterion validity. Construct validity is the appropriateness of inferences made on the basis of observations or measurements (often test scores), specifically whether a test can reasonably be considered to reflect the intended construct. Constructs are abstractions that are deliberately created by researchers in order to conceptualize the latent variable, which is correlated with scores on a given measure ...
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Multitrait-multimethod Matrix
The multitrait-multimethod (MTMM) matrix is an approach to examining construct validity developed by Campbell and Fiske (1959). 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 measurement theory in psychology, including applications in structural equation models. Definitions and key components Multiple traits are used in this approach to examine (a) similar or (b) dissimilar traits ( constructs), in order to establish convergent and discriminant validity between traits. Similarly, multiple methods are used in this approach to examine the differential effects (or lack thereof) caused by method specific variance. Scores could be correlated because they measure similar traits, or because they are based on similar methods, or both. When variables that are supposed to measure different constructs show a high correlation because they based on similar m ...
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Validity (statistics)
Validity is the main extent to which a concept, conclusion or measurement is well-founded and likely corresponds accurately to the real world. The word "valid" is derived from the Latin validus, meaning strong. 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. 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. In psychometrics, validity has a particular application known as test validity: "the degree to which evidence and theory support the interpretations of test scores" ("as entailed by proposed uses of tests"). It is generally accepted that the concept of scientific validity addresses the nature of reality in terms of statistical measures and as such is an epistemological and philosophical issue as well as a question of measurement. The use of the term in logic is narrower, relati ...
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