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Books on the topic 'Measurement invariance'

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Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Millsap, Roger Ellis. Statistical approaches to measurement invariance. New York: Psychology Press, 2011.

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2

Statistical approaches to measurement invariance. New York: Psychology Press, 2011.

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3

Hall, Robert Ernest. Invariance properties of Solow's productivity residual. Cambridge, MA: National Bureau of Economic Research, 1989.

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4

Frier, Rachael Elizabeth. Gender differences in paranormal belief: an examination of the measurement invariance of the paranormal belief scale. [s.l: The Author], 1995.

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5

Kasprzak, Wacław. Measurements, dimensions, invariant models and fractals. Wrocław: "SPOLOM", 2004.

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6

Invariant measurement: Using Rasch models in the social, behavioral, and health sciences. New York, N.Y: Psychology Press, 2012.

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7

Van De Schoot, Rens, Peter Schmidt, and Alain De Beuckelaer, eds. Measurement Invariance. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-650-0.

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8

Millsap, Roger E. Statistical Approaches to Measurement Invariance. Routledge, 2012. http://dx.doi.org/10.4324/9780203821961.

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9

Millsap, Roger E. Statistical Approaches to Measurement Invariance. Taylor & Francis Group, 2012.

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10

Millsap, Roger E. Statistical Approaches to Measurement Invariance. Taylor & Francis Group, 2012.

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11

Millsap, Roger E. Statistical Approaches to Measurement Invariance. Taylor & Francis Group, 2012.

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12

Millsap, Roger E. Statistical Approaches to Measurement Invariance. Taylor & Francis Group, 2012.

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13

Wells, Craig S. Assessing Measurement Invariance for Applied Research. University of Cambridge ESOL Examinations, 2021.

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14

Wells, Craig S. Assessing Measurement Invariance for Applied Research. University of Cambridge ESOL Examinations, 2021.

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15

Wells, Craig. Assessing Measurement Invariance for Applied Research. Cambridge University Press, 2021.

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16

Tversky, Amos, Patrick Suppes, David H. Krantz, and R. Duncan Luce. Foundations of Measurement Volume III: Representation, Axiomatization, and Invariance (Foundations of Measurement). Dover Publications, 2006.

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17

Foundations of Measurement: Representation, Axiomatization, and Invariance. Academic Pr, 1990.

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18

Hoyle, Rick H. Applications of structural equation modelling in clinical and health psychology research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0020.

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This chapter discusses applications of structural equation modelling (SEM, or causal modelling) in clinical and health psychology research. It outlines path diagrams, measurement models, structural models, the inclusion of latent variables, validity (factorial and construct), and measurement invariance. Structural hypotheses are also explored, along with caveats for the use of SEM.

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19

Alfano, Mark, LaTasha Holden, and Andrew Conway. Intelligence, Race, and Psychological Testing. Edited by Naomi Zack. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190236953.013.2.

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Philosophers have in recent decades neglected the state of the art on the psychology of intelligence tests as related to racial difference. A major theoretical issue is the measurement invariance of intelligence tests, the fact that blacks, Latinos, women, poor people, and other marginalized groups perform worse than average on a variety of different intelligence tests. But the skepticism now surrounding measurement invariance includes the importance of stereotype threat or the correlation of decreased performance level after test takers are exposed to stereotypes about themselves. Recent research suggests that people’s conceptions of intelligence influence how their own intelligence is expressed. In a study when high school students were informed that intelligence is not an essential or racially determined property, higher grades and better performance in core courses resulted.

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20

Engelhard Jr., George. Invariant Measurement. Routledge, 2013. http://dx.doi.org/10.4324/9780203073636.

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21

Engelhard, George Jr. Invariant Measurement. Taylor & Francis Group, 2012.

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22

Engelhard, George, and Stefanie A. Wind. Invariant Measurement with Raters and Rating Scales. Routledge, 2017. http://dx.doi.org/10.4324/9781315766829.

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23

Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences. SAGE Publications, Incorporated, 2021.

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24

Invariant Measurement with Raters: Classical and Modern Measurement Theories for Rating Scales. Taylor & Francis Group, 2017.

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25

Allen, Tammy D., and Seulki "Rachel" Jang. Gender and Organizational Citizenship Behavior. Edited by Philip M. Podsakoff, Scott B. Mackenzie, and Nathan P. Podsakoff. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190219000.013.12.

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The current chapter reviews theory and findings with regard to relationships between gender and organizational citizenship behavior (OCB). Based on self-report OCB studies, female employees tend to report that they perform more communal OCB (e.g., altruism) than do male employees, whereas male employees tend to report that they perform more agentic OCB (e.g., sportsmanship) than do female employees. However, supervisors do not appear to rate male and female employees differently on OCB performance. Our review also suggests that even with the same amount of OCB performance, female employees tend to be disadvantaged with regard to career-related outcomes (e.g., promotion) relative to male employees. For future research, we encourage researchers to distinguish between actual and perceived OCB performance and examine associated gender differences. Measurement invariance of OCB across gender, different career success outcomes between males and females, and the effects of gender egalitarianism in cultures also need further investigation.

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26

Jr, George Engelhard. Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences. Taylor & Francis Group, 2013.

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27

Jr, George Engelhard. Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences. Taylor & Francis Group, 2013.

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28

Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences. Routledge, 2013.

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29

Engelhard, George, and Stefanie Wind. Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments. Taylor & Francis Group, 2017.

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30

Wind, Stefanie, and George Engelhard Jr. Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments. Taylor & Francis Group, 2017.

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31

Wind, Stefanie, and George Engelhard Jr. Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments. Taylor & Francis Group, 2017.

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32

Kachelriess, Michael. Hadrons, partons and QCD. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198802877.003.0018.

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This chapter first discusses the breaking of scale invariance of QCD with massless quarks by quantum corrections and explains that this effect is responsible for the bulk of hadron masses. Then the parton picture is introduced, where one replaces a hadron which is probed in a hard process by free quarks and gluons. Perturbative QCD describes via the DGLAP equations the evolution of parton distribution functions f(x,Q2) as functions of Q2, requires however as as input f(x,Q20) from measurements at a fixed scale Q0 »QCD. The total annihilation cross section e+e →hadrons is calculated and it is shown that infrared singularities due to massless gluons and quarks cancel.

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33

Mashhoon, Bahram. Nonlocal Gravity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803805.001.0001.

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A postulate of locality permeates through the special and general theories of relativity. First, Lorentz invariance is extended in a pointwise manner to actual, namely, accelerated observers in Minkowski spacetime. This hypothesis of locality is then employed crucially in Einstein’s local principle of equivalence to render observers pointwise inertial in a gravitational field. Field measurements are intrinsically nonlocal, however. To go beyond the locality postulate in Minkowski spacetime, the past history of the accelerated observer must be taken into account in accordance with the Bohr-Rosenfeld principle. The observer in general carries the memory of its past acceleration. The deep connection between inertia and gravitation suggests that gravity could be nonlocal as well and in nonlocal gravity the fading gravitational memory of past events must then be taken into account. Along this line of thought, a classical nonlocal generalization of Einstein’s theory of gravitation has recently been developed. In this nonlocal gravity (NLG) theory, the gravitational field is local, but satisfies a partial integro-differential field equation. A significant observational consequence of this theory is that the nonlocal aspect of gravity appears to simulate dark matter. The implications of NLG are explored in this book for gravitational lensing, gravitational radiation, the gravitational physics of the Solar System and the internal dynamics of nearby galaxies as well as clusters of galaxies. This approach is extended to nonlocal Newtonian cosmology, where the attraction of gravity fades with the expansion of the universe. Thus far only some of the consequences of NLG have been compared with observation.

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