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Books on the topic 'Ordinal data analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Agresti, Alan. Analysis of ordinal categorical data. 2nd ed. Wiley, 2010.

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Agresti, Alan. Analysis of ordinal categorical data. 2nd ed. Wiley, 2010.

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3

Diday, Edwin, Yves Lechevallier, and Otto Opitz. Ordinal and Symbolic Data Analysis. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61159-9.

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Agresti, Alan. Analysis of Ordinal Categorical Data. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470594001.

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Analysis of ordinal categorical data. 2nd ed. Wiley, 2010.

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6

Ordinal methods for behavioral data analysis. Erlbaum, 1996.

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7

International Conference on Ordinal and Symbolic Data Analysis (1995 Paris, France). Ordinal and symbolic data analysis: Proceedings of the International Conference on Ordinal and Symbolic Data Analysis--OSDA '95, Paris, June 20-23, 1995. Springer, 1996.

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8

Svensson, Elisabeth. Analysis of systematic and random differences between paired ordinal categorical data. University of Göteborg, 1993.

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9

Biswas, Atanu. Modelling and analysis of multivariate ordinal categorical data in longitudinal set up. Indian Institute of Management, 2013.

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10

service), SpringerLink (Online, ed. Permutation Complexity in Dynamical Systems: Ordinal Patterns, Permutation Entropy and All That. Springer-Verlag Berlin Heidelberg, 2010.

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11

Edwardes, Michael D. deBurgh. The analysis of ordinal data. 1986.

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12

Agresti, Alan. Analysis of Ordinal Categorical Data. Wiley & Sons, Incorporated, John, 2012.

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13

Agresti, Alan. Analysis of Ordinal Categorical Data. Wiley & Sons, Incorporated, John, 2012.

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14

Agresti, Alan. Analysis of Ordinal Categorical Data. Wiley & Sons, Incorporated, John, 2012.

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15

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2016.

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16

Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Psychology Press, 2014. http://dx.doi.org/10.4324/9781315806730.

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17

Skinner, Justin Michael Edward. The analysis of repeated ordinal data using latent trends. 1999.

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18

(Editor), Edwin Diday, Yves Lechevallier (Editor), and Otto Opitz (Editor), eds. Ordinal and Symbolic Data Analysis: Proceedings of the International Conference on Ordinal and Symbolic Data Analysis - OSDA 95, Paris, June 20 - 23, 1995 ... Data Analysis, and Knowledge Organization). Springer, 1996.

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19

Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Inc, 2015.

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20

Uysal, Suzan, and Stephan A. Mayer. Neurological and Functional Outcomes Assessment. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0006.

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The evidence base for neuroprotection in critical care and perioperative medicine rests on outcomes research, a critical component of which is the quantitative assessment of the functional effects of neurological injury. Outcomes assessment is conceptualized hierarchically in terms of global outcome, impairment, disability, handicap, and health-related quality of life. This chapter describes the different classes of outcome measures and the instruments within each class that are most commonly used in clinical neuroprotection research. Desirable characteristics of outcome measures are described

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21

Lassiter, Daniel. Measurement theory and the typology of scales. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198701347.003.0002.

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Most previous work on graded modality has relied on qualitative orderings, rather than degree semantics. This chapter introduces Representational Theory of Measurement (RTM), a framework which makes it possible to translate between qualitative and degree-based scales. I describe a way of using RTM to extend the compositional degree semantics introduced in chapter 1 to qualitative scales. English data are used to motivate the application of the RTM discussion between ordinal, interval, and ratio scales to scalar adjectives, with special attention to the kinds of statements that are semantically

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22

Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R

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23

Witkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.

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This book is the first to make chi-squared model testing, one of the data analysis methods used to discover the Higgs boson and gravitational waves, accessible to undergraduate students in introductory physics laboratory courses. By including uncertainties in the curve fitting, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those

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24

Differential Equation Analysis In Biomedical Science And Engineering Ordinary Differential Equation Applications With R. John Wiley & Sons Inc, 2013.

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25

Numerical Methods For Ordinary Differential Equations Initial Value Problems. Springer, 2010.

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26

Quantitative Methods in Population Health: Extensions of Ordinary Regression. Wiley & Sons, Incorporated, John, 2003.

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27

Palta, Mari. Quantitative Methods in Population Health: Extensions of Ordinary Regression. Wiley & Sons, Incorporated, John, 2007.

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28

Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

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This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particu

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29

Quantitative Methods in Population Health: Extensions of Ordinary Regression (Wiley Series in Probability and Statistics). Wiley-Interscience, 2003.

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30

Cox, Mary Elisabeth. Hunger in War and Peace. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198820116.001.0001.

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What is the impact of war on non-combatants, particularly women and children? In this innovative analysis of nutritional deprivation among ordinary German citizens during the First World War, Mary Elisabeth Cox finds that the effects of the war and the Allied interdiction of food supplies—which became known in Germany as the ‘Hungerblockade’—resulted in diminished heights and weights of children far from the battlefield. During the war, Germany defiantly proclaimed that their country could not be starved out. In a military sense, this was likely to be the case, and many modern historians argue

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31

Jue, Melody, and Rafico Ruiz, eds. Saturation. Duke University Press, 2021. http://dx.doi.org/10.1215/9781478013044.

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Bringing together media studies and environmental humanities, the contributors to Saturation develop saturation as a heuristic to analyze phenomena in which the elements involved are difficult or impossible to separate. In ordinary language, saturation describes the condition of being thoroughly soaked, while in chemistry it is the threshold at which something can be maximally dissolved or absorbed in a solution. Contributors to this collection expand notions of saturation beyond water to consider saturation in sound, infrastructure, media, Big Data, capitalism, and visual culture. Essays incl

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32

Skocpol, Theda, and Caroline Tervo, eds. Upending American Politics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190083526.001.0001.

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Analysts and citizens alike struggle to comprehend recent gyrations in US politics. The country did an apparent U-turn in just eight short years, from the election of Barack Obama and an all-Democratic Congress in 2008 to the election of Donald Trump and confirmation of GOP control of Congress in 2016. Twice in under a decade, ordinary citizens reacted by organizing local grassroots groups all over the country—with Tea Parties starting in 2009 and anti-Trump resistance groups starting in late 2016. Upending American Politics offers a fresh perspective on these developments by focusing on recen

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33

Vargas Cervantes, Susana. The Little Old Lady Killer. NYU Press, 2019. http://dx.doi.org/10.18574/nyu/9781479876488.001.0001.

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The Little Old Lady Killer focuses on the female serial killer Juana Barraza Samperio, a Mexican lucha libre wrestler who, disguised as a government nurse, strangled sixteen elderly women in Mexico City. The search for the Mataviejitas (the killer of old women) was the first ever undertaken for a serial killer in Mexico. Following international profiling norms for serial killers, the police were initially looking for an ordinary-looking man, but after witness accounts described the Mataviejitas as wearing a wig and makeup, police changed their focus and began to search for a “travesti.” The bo

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