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Books on the topic 'Item response theory – Statistical methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Hutchinson, T. P. Controversies in item response theory. Adelaide, S. Aust: Rumsby Scientific Publishing, 1991.

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2

Hutchinson, T. P. Controversies in item response theory. Adelaide, S. Aust: Rumsby Scientific Pub., 1991.

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3

L, Nering Michael, ed. Polytomous item response theory models. Thousand Oaks: Sage Publications, 2006.

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4

Ostini, Remo. Polytomous item response theory models. Thousand Oaks, CA: Sage Publications, 2005.

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5

The theory and practice of item response theory. New York: Guildord Press, 2009.

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6

Fox, Jean-Paul. Bayesian item response modeling: Theory and applications. New York, NY: Springer, 2010.

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7

Boldt, Robert F. Simulated equating using several item response curves. Princeton, N.J: Educational Testing Service, 1993.

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8

McLeod, Lori Davis. A Bayesian method for the detection of item preknowledge in CAT. Newtown, PA: Law School Admission Council, 1999.

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9

Social choice with partial knowledge of treatment response. Princeton, NJ: Princeton University Press, 2006.

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10

Manski, Charles F. Social choice with partial knowledge of treatment response. Princeton, NJ: Princeton University Press, 2005.

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11

Ban, Jae-Chun. Data sparseness and online pretest item calibration/scaling methods in CAT. Iowa City, Iowa: ACT, Inc., 2002.

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12

Ban, Jae-Chun. Data sparseness and online pretest item calibration/scaling methods in CAT. Iowa City, Iowa: ACT, Inc., 2002.

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13

Bertrand, Richard. Mode les de mesure: L'apport de la the orie des re ponses aux items. Sainte-Foy [Que.]: Presses de l'Universite du Que bec, 2004.

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14

Tsai, Wei-Der. Hospital affiliation and the proportion of patient discharges to long-term care--best probit predictor estimation of the binary response model with an endogeneous treatment effect. Nankang, Taipei, Taiwan, Republic of China: Institute of Economics, Academia Sinica, 1996.

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15

L, Nering Michael, and Ostini Remo, eds. Handbook of polytomous item response theory models. New York: Routledge, 2010.

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16

Fox, Jean-Paul. Bayesian Item Response Modeling: Theory and Applications. Springer, 2012.

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17

Introduction to Nonparametric Item Response Theory (Measurement Methods for the Social Science). Sage Publications, Inc, 2002.

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18

Introduction to Nonparametric Item Response Theory, Vol. 5 (Measurement Methods for the Social Science). Sage Publications, Inc, 2002.

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19

The robustness of two model-data fit procedures to violations of the local independence assumtpion in item response theory. 1988.

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20

The robustness of two model-data fit procedures to violations of the local independence assumption in item response theory. 1988.

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21

The robustness of two model-data fit procedures to violations of the local independence assumption in item response theory. 1988.

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22

The robustness of two model-data fit procedures to violations of the local independence assumption in item response theory. 1987.

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23

Ark, L. Andries van der, Croon Marcel A, and Sijtsma K. 1955-, eds. New developments in categorical data analysis for the social and behavioral sciences. Mahwah, N.J: Lawrence Erlbaum, 2005.

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24

New Developments in Categorical Data Analysis for the Social & Behavioral Science (Quantitative Methodology Series) (Quantitative Methodology Series). Lawrence Erlbaum, 2004.

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25

L. Andries van der Ark, Klaas Sijtsma, and Marcel A. Croon. New Developments in Categorical Data Analysis for the Social and Behavioral Sciences. Taylor & Francis Group, 2013.

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26

Mesbah, Mounir, Karl Bang Christensen, and Svend Kreiner. Rasch Models in Health. Wiley & Sons, Incorporated, John, 2013.

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27

Rasch Models In Health. Wiley-Iste, 2012.

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28

Mesbah, Mounir, Karl Bang Christensen, and Svend Kreiner. Rasch Models in Health. Wiley & Sons, Incorporated, John, 2013.

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29

Robustness of unidimensional latent trait models when applied to multidimensional data. 1991.

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30

Center, Langley Research, ed. Statistical methods for efficient design of community surveys of response to noise: Random coefficients regression models. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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31

Horing, Norman J. Morgenstern. Quantum Statistical Field Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.001.0001.

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The methods of coupled quantum field theory, which had great initial success in relativistic elementary particle physics and have subsequently played a major role in the extensive development of non-relativistic quantum many-particle theory and condensed matter physics, are at the core of this book. As an introduction to the subject, this presentation is intended to facilitate delivery of the material in an easily digestible form to students at a relatively early stage of their scientific development, specifically advanced undergraduates (rather than second or third year graduate students), who are mathematically strong physics majors. The mechanism to accomplish this is the early introduction of variational calculus with particle sources and the Schwinger Action Principle, accompanied by Green’s functions, and, in addition, a brief derivation of quantum mechanical ensemble theory introducing statistical thermodynamics. Important achievements of the theory in condensed matter and quantum statistical physics are reviewed in detail to help develop research capability. These include the derivation of coupled field Green’s function equations of motion for a model electron-hole-phonon system, extensive discussions of retarded, thermodynamic and non-equilibrium Green’s functions, and their associated spectral representations and approximation procedures. Phenomenology emerging in these discussions includes quantum plasma dynamic, nonlocal screening, plasmons, polaritons, linear electromagnetic response, excitons, polarons, phonons, magnetic Landau quantization, van der Waals interactions, chemisorption, etc. Considerable attention is also given to low-dimensional and nanostructured systems, including quantum wells, wires, dots and superlattices, as well as materials having exceptional conduction properties such as superconductors, superfluids and graphene.

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32

Tukey, John Wilder, and Kaye E. Basford. Graphical Analysis of Multi-Response Data (Interdisciplinary Statistics). Chapman & Hall/CRC, 1998.

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33

Tran, Thanh, Tam Nguyen, and Keith Chan. Developing Cross-Cultural Measurement in Social Work Research and Evaluation. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780190496470.001.0001.

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Given the demographic changes and the reality of cultural diversity in the United States and other parts of the world today, social work researchers are increasingly aware of the need to conduct cross-cultural research and evaluation, whether for hypothesis testing or for outcome evaluation. This book’s aims are twofold: to provide an overview of issues and techniques relevant to the development of cross-cultural measures and to provide readers with a step-by-step approach to the assessment of cross-cultural equivalence of measurement properties. There is no discussion of statistical theory and principles underlying the statistical techniques presented in this book. Rather, this book is concerned with applied theories and principles of cross-cultural research, and draws information from existing work in the social sciences, public domain secondary data, and primary data from the author’s research. In this second edition, several changes have been made throughout the book and a new chapter on item response theory has been added. The chapter on developing new cross-cultural instrument has also been expanded with a concrete example.

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34

Hom, Andrew R. International Relations and the Problem of Time. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198850014.001.0001.

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What is time and how does it influence our knowledge of international politics? For decades International Relations (IR) paid little explicit attention to time. Recently this began to change as a range of scholars took an interest in the temporal dimensions of politics. Yet IR still has not fully addressed the issue of why time matters, nor has it reflected on its own use of time—how temporal assumptions and ideas affect the way we understand political phenomena. Moreover, IR remains beholden to two seemingly contradictory visions of time: the time of the clock and a long-standing tradition of treating time as a problem to be solved. International Relations and the Problem of Time develops a unique response to these interconnected puzzles. It reconstructs IR’s temporal imagination by developing an argument that all times—from the rhythms of the universe to individual temporal experience—spring from social and practical timing activities, or efforts to establish meaningful and useful relationships in complex and dynamic settings. In IR’s case, across a wide range of approaches scholars employ narrative timing techniques to make sense of political processes and events. This innovative account of time provides a more systematic and rigorous explanation for all manner of temporal phenomena in international politics. It also develops provocative insights about IR’s own history, its key methodological commitments, supposedly “timeless” statistical methods, historical institutions, and the critical vanguard of time studies. This book invites us to reimagine time in theory and practice, and in so doing to significantly rethink the way we approach the study of international politics.

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