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Books on the topic 'Issue variables'

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Published: 4 June 2021
Last updated: 20 February 2023

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1

Chandra, Saurabh, ed. SOCRATES (Vol 3, No 2 (2015): Issue- June). 3rd ed. India: SOCRATES : SCHOLARLY RESEARCH JOURNAL, 2015.

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2

Dogramaci, Ali, ed. Measurement Issues and Behavior of Productivity Variables. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-015-6867-8.

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3

Ali, Dogramaci, ed. Measurement issues and behavior of productivity variables. Boston: Kluwer Nijhoff, 1986.

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4

Henningsen, David. Cost as an independent variable: Implementation issues. Monterey, Calif: Naval Postgraduate School, 1997.

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5

K, Davis Paul. Variable-resolution combat modeling: Motivations, issues, and principles. Santa Monica, CA: Rand, 1992.

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6

C, Duncan Susan, and Strycker Lisa A, eds. An introduction to latent variable growth curve modeling: Concepts, issues, and applications. 2nd ed. Mahwah, N.J: Lawrence Erlbaum Associates, 2006.

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7

Bossert, Walter. On Some Variable Population Size Issues in Welfare Economics. Frankfurt am Main: athenaum Verlag, 1989.

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8

Bossert, Walter. On some variable population size issues in welfare economics. Frankfurt am Main: Athenäum, 1989.

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9

E, Duncan Terry, ed. An introduction to latent variable growth curve modeling: Concepts, issues, and applications. Mahwah, N.J: L. Erlbaum Associates, 1999.

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10

K, Davis Paul. Variable affecting Central-region stability: The "Operational Minimum" and other issues at low force levels. Sanata Monica, CA: RAND, 1989.

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11

Babeshko, Lyudmila, Mihail Bich, and Irina Orlova. Econometrics and econometric modeling. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141216.

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The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag structure of variables. Methods of linearization and estimation of nonlinear models are considered. An apparatus for evaluating systems of simultaneous and apparently unrelated equations is presented. Attention is paid to time series models. Detailed solutions of the examples in Excel and the R software environment are included. Meets the requirements of the federal state educational standards of higher education of the latest generation. For undergraduate and graduate students studying in the field of "Economics", the curriculum of which includes the disciplines "Econometrics"," Econometric Modeling","Econometric research".
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12

Alan, Gladstone, and International Industrial Relations Association, eds. Current issues in labour relations: An international perspective. Berlin: de Gruyter, 1989.

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13

Marc, Stevenson, Canadian Circumpolar Institute, and National Round Table on the Environment and the Economy (Canada), eds. Environmental and economic issues in fur trapping: A profile of Canada's fur trapping industry and variables influencing its sustainability : an annotated bibliography prepared for the National Round Table on the Environment and the Economy. Edmonton: Canadian Circumpolar Institute, 1996.

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14

Mishenin, Sergey. Saving transportation resources: the experience of railway workers in Western Siberia 1965-1991. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082937.

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The monograph is devoted to the generalization of the factors of railway transportation in Western Siberia and their influence on the formation of the experience of saving transportation resources in 1965-1991. The basic factors are considered such as the natural conditions and the production apparatus of the region, the development of a program-oriented approach to the development of the territory and the formation of the material base of railway transport in its space. These components are considered as historical challenges for the design of labor initiatives "from below". These initiatives are classified into three groups: speeding up the turnover of wagons, using the locomotive fleet, and saving fuel, energy, and other" variable " resources of the railway transportation process. The issues are considered taking into account the trends of fading opportunities for the Soviet model of system-wide development. It will be of interest to all those who are concerned about the history of Russia, the organization of its transport security system.
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15

(Editor), Maureen Dennis, and Harvey S. Levin (Editor), eds. Childhood Head Injury: Developmental and Recovery Variables: A Special Double Issue of Developmental Neuropsychology. Lawrence Erlbaum, 2004.

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16

Levin, Harvey S., and Maureen Dennis. Childhood Head Injury : Developmental and Recovery Variables: A Special Double Issue of Developmental Neuropsychology. Taylor & Francis Group, 2016.

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17

Levin, Harvey S., and Maureen Dennis. Childhood Head Injury : Developmental and Recovery Variables: A Special Double Issue of Developmental Neuropsychology. Taylor & Francis Group, 2016.

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18

Levin, Harvey S., and Maureen Dennis. Childhood Head Injury : Developmental and Recovery Variables: A Special Double Issue of Developmental Neuropsychology. Taylor & Francis Group, 2016.

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19

Levin, Harvey S., and Maureen Dennis. Childhood Head Injury : Developmental and Recovery Variables: A Special Double Issue of Developmental Neuropsychology. Taylor & Francis Group, 2016.

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20

Dogramaci, Ali. Measurement Issues and Behavior of Productivity Variables. Springer, 2014.

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21

Dogramaci, Ali. Measurement Issues and Behavior of Productivity Variables. Ingramcontent, 2013.

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22

Dogramaci, Ali. Measurement Issues and Behavior of Productivity Variables. Springer London, Limited, 2013.

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23

Kapur, Devesh. Public Opinion. Edited by David M. Malone, C. Raja Mohan, and Srinath Raghavan. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780198743538.013.22.

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This chapter examines the role of public opinion on Indian foreign policy and focuses on four principal questions: One, how informed is the Indian public about foreign policy issues and how have its views been measured? Two, what shapes public opinion on foreign policy issues in India? Who are the key actors and how have they changed over time and issue area? Three, what are the mechanisms that link public opinion to public policy in foreign policy and on what issues has public opinion mattered? And four, what is public opinion about India in other major countries and what does it reveal? Finally the chapter concludes with some observations on public opinion’s interactions with changes in other variables shaping foreign policy, such as the rise of business and a more federal polity.
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24

Birdsell, David S. Political Campaign Debates. Edited by Kate Kenski and Kathleen Hall Jamieson. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199793471.013.007.

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Over more than four decades, debate scholarship has addressed the auspices under which debates are conducted, debate formats, variables in news coverage, and debate’s influence on issue knowledge and candidate support across a wide range of audiences, primarily through examination of general election presidential debates in the United States. Primary debates and debates for other offices have received far less attention. While evidence strongly suggests that debates produce more acclaims than attacks from participants and attend more closely to policy than to character, a systematic understanding of performance and performance variables has eluded debate scholarship. Evidence does show that viewers learn from debates and that they can also influence the formation of opinions about candidates, although both phenomena depend to some extent on prior knowledge and partisanship.
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25

Cost As an Independent Variable Implementation Issues. Storming Media, 1997.

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26

Barbara, Curbow, and Somerfield Mark R, eds. Psychosocial resource variables in cancer studies: Conceptual and measurement issues. New York: Haworth Medical Press, 1995.

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27

Somerfield, Mark R., and Barbara Curbow. Psychosocial Resource Variables in Cancer Studies: Conceptual and Measurement Issues. Taylor & Francis Group, 2014.

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28

(Editor), Barbara Curbow, and Mark R. Somerfield (Editor), eds. Psychosocial Resource Variables in Cancer Studies: Conceptual and Measurement Issues. Haworth Press, 1995.

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29

Somerfield, Mark R., and Barbara Curbow. Psychosocial Resource Variables in Cancer Studies: Conceptual and Measurement Issues. Taylor & Francis Group, 2014.

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30

Somerfield, Mark R., and Barbara Curbow. Psychosocial Resource Variables in Cancer Studies: Conceptual and Measurement Issues. Taylor & Francis Group, 2014.

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31

Somerfield, Mark R., and Barbara Curbow. Psychosocial Resource Variables in Cancer Studies: Conceptual and Measurement Issues. Taylor & Francis Group, 2014.

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32

Morck, Randall, and Bernard Yeung. Metrics for International Business Research. Edited by Alan M. Rugman. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199234257.003.0028.

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This article focuses on performance measures. It starts with the usual focus on profitability and market value as performance measures, followed by alternative performance measures based on firm productivity, growth and survival. It then discusses issues on survey data, and the problem of ex post reasoning in empirical work. There are several important themes in this discussion. First, it discusses the definitional and variable construction issues. Second, it addresses the analytical contents in these variables as performance measures. Third, it highlights the statistical and empirical difficulties in using these performance measures, especially in an international cross-country context.
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33

Duncan, Terry E., Susan C. Duncan, Lisa A. Strycker, Fuzhong Li, and Anthony Alpert. An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Quantitative Methodology Series). Lawrence Erlbaum Associates, 1999.

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34

Clark, Andrew. SWB as a Measure of Individual Well-Being. Edited by Matthew D. Adler and Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.17.

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There is much discussion about using subjective well-being measures as inputs into a social welfare function, which will tell us how well societies are doing. But we have (many) more than one measure of subjective well-being. This chapter considers examples of three of the main types (life satisfaction, affect, and eudaimonia) in three European surveys. These are quite strongly correlated with each other, and are correlated with explanatory variables in pretty much the same manner. The chapter provides an overview of a recent literature that has compared how well different subjective well-being measures predict future behavior, and addresses the issue of the temporality of well-being measures, and whether they should be analyzed ordinally or cardinally.
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35

Nader, Kathleen. Assessment of Trauma in Youths: Understanding Issues of Age, Complexity, and Associated Variables. Taylor & Francis Group, 2013.

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36

Nader, Kathleen. Assessment of Trauma in Youths: Understanding Issues of Age, Complexity, and Associated Variables. Taylor & Francis Group, 2016.

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37

Nader, Kathleen. Assessment of Trauma in Youths: Understanding Issues of Age, Complexity, and Associated Variables. Taylor & Francis Group, 2016.

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38

Nader, Kathleen. Assessment of Trauma in Youths: Understanding Issues of Age, Complexity, and Associated Variables. Taylor & Francis Group, 2016.

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39

Nader, Kathleen. Assessment of Trauma in Youths: Understanding Issues of Age, Complexity, and Associated Variables. Taylor & Francis Group, 2016.

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40

Duncan, Terry E. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications. Taylor & Francis Group, 2007.

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41

Duncan, Terry E., Susan C. Duncan, Lisa A. Strycker, Fuzhong Li, and Anthony Alpert. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications. Taylor & Francis Group, 1999.

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42

Duncan, Terry E. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications. Taylor & Francis Group, 2006.

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43

Dietz, Joerg, and Emmanuelle P. Kleinlogel. Employment Discrimination as Unethical Behavior. Edited by Adrienne J. Colella and Eden B. King. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199363643.013.5.

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We argue that research on employment discrimination can be enriched by studying it as unethical behavior. Using five moral principles, namely utilitarianism, distributive justice, righteousness of actions, virtuousness, and ethics of care, we illustrate the treatment of employment discrimination as a moral issue. An overarching theme in this discussion is that nondiscrimination is a fundamental human right. Next, the chapter illustrates how individual-difference variables that predict unethical behavior, such as moral disengagement and cognitive moral development, can contribute to advancing knowledge about employment discrimination. A similar argument is then presented for situational predictors of unethical behavior, such as obedience with requests from organizational authorities. Lastly, we discuss the role of classic interventions against unethical behavior, such as codes of conduct and the emphasis on fairness as a moral imperative, for combating employment discrimination.
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44

A Class of Multivariate Skew Distributions: Properties and Inferential Issues. Saarbrücken, Germany: Scholars' Press, 2013.

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45

Elwood, Mark. Confounding. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0007.

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This chapter gives the definition of confounding, a central issue in epidemiology and its dependence on two associations, with exposure and with outcome. It explains confounding in trials, cohort and case-control studies, and Simpson’s paradox. It explains the five methods of controlling confounding: restriction, randomisation, stratification, matching and multivariate methods. For randomised trials, the limits of randomisation, residual confounding, pre-stratification, intention-to-treat, management and explanatory trials, pragmatic trials are explained. It shows the Mantel–Haenszel risk ratio or odds ratio, direct and indirect standardisation, and effect modification. Frequency and individual matching, their value and limitations, over matching, confounding by indication, and calculation of matched odds ratio are shown. It explains multivariate methods, including linear, logistic, Poisson, and Cox’s proportionate hazards models, including the relationship between coefficients and odds ratios, dummy variables, conditional methods, and propensity scores.
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46

Duncan, Terry E., Susan C. Duncan, and Lisa A. Strycker. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition. Taylor & Francis Group, 2013.

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47

Duncan, Terry E., Susan C. Duncan, and Lisa A. Strycker. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition. Taylor & Francis Group, 2013.

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48

Duncan, Terry E., Susan C. Duncan, and Lisa A. Strycker. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition. Taylor & Francis Group, 2013.

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49

Duncan, Terry E., Susan C. Duncan, and Lisa A. Strycker. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition. Taylor & Francis Group, 2013.

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50

Duncan, Terry E., Susan C. Duncan, and Lisa A. Strycker. Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition. Taylor & Francis Group, 2013.

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