Measurement in psychology: A critical history of a methodological concept

By T. B. Rogers. 2002

315 citations recorded by the source corpus.

Subfields: Applied Psychology, Developmental and Educational Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/86b605b85525e653a5c380f05483543fcbbbb335

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In Applied Psychology

In Developmental and Educational Psychology

In Management Science and Operations Research

Citations in the corpus

Assumptions of multiple regression: Correcting two misconceptions (2013, unknown): “Other theories about the essential nature of measurement are possible, and include the classical concept of measurement (Michell, 1999), classical test theory, and representationalism (see Borsboom, 2005).”
The concept of validity. (2004, background): “Now, it is a small step to conclude that, instead of laying down the ontological claims involved in measurement, which make so abundantly clear the strong assumptions one is making about psychological attributes (Borsboom, Mellenbergh, & Van Heerden, 2003; Kagan, 1988; Michell, 1999), the discussion”
Putting Typologies to Work (2012, background): “Yet indicators should be constructed to measure something , and careful conceptual work is essential to establishing what that something is.”
Validity and assessment: a Rasch measurement perspective (2004, background): “This sounds remarkably reminiscent of the scientific measurement lobby’s critique of psychometrics in general (see Bond & Fox 2001; Michell, 1999).”
Is Psychometrics Pathological Science? (2008, background): “From its beginnings in Britain and the United States, the use of psychological tests in the military, education, and industry was wrapped in the rhetoric of measurement because this packaging was thought to secure the place of psychology among the established sciences (Michell, 1999).”
Stevens’ forgotten crossroads: the divergent measurement traditions in the physical and psychological sciences from the mid-twentieth century (2015, background): “Despite the dominance of Stevens' definition in the psychological sciences (Michell, 1999), a number of mathematical psychologists have acknowledged that his approach diverged too far from the understanding of measurement in the physical sciences (Krantz, 1972; Luce and Narens, 1987).”
Educational Measurement (4th ed.) (2009, background): “…be so interpreted, and under which conditions, receives no attention at all in Educational Measurement-which must be considered remarkable, especially in view of the attention that this question has received in the recent literature on psychological measurement (e.g., Michell, 1997, 1999, 2008).”
Generation of an Interval Metric Scale to Measure Attitude (2014, background): “In the same tone, Stevens (1946) coined the idea of measurement as assigning numbers to items or events according to rule (Matheson, 2008; Michell, 1999).”
Item response theory and clinical measurement. (2009, background): “The three milestones are (a) the assembly of the Ferguson Committee (Ferguson et al. 1940; Michell 1999, pp. 143–161), (b) the development of the Minnesota Multiphasic Personality Inventory (MMPI; Hathaway & McKinley 1940), and (c) the development of IRT (Ferguson 1942, Finney 1944, Lawley 1943).”
Measuring Growth With Vertical Scales (2013, methodology): “As defined by Michell, “a quantity is a class of properties (such as length) or a class of relations (such as temporal durations), the elements of which stand in additive relations to one another rich enough to sustain numerical ratios” (Michell, 1999, p. 26).”
Rethinking Traditional Methods of Survey Validation (2017, background): “As argued elsewhere by scholars such as Michell (1990, 1999); Humphry (2013); Kyngdon (2013); Markus and Borsboom (2013); Trendler (2009); and McGrane (2015), whether or not any given act of inquiry requires (or can even benefit from) measurement depends to at least some extent on the nature of…”
Latent Variable Theory (2008, methodology): “Extensive measurement is based on experimental tests of the quantitative structure of the attribute (Michell, 1997, 1999) through concatenation.”
Software Engineering Metrics: What Do They Measure and How Do We Know? (2004, background): “This question is at the heart of the controversy between representational theory and traditional (physicsoriented ) theory of measurement [18].”