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Książki na temat „Structural equation modelling”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Thakkar, Jitesh J. Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6.

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2

Jak, Suzanne. Meta-Analytic Structural Equation Modelling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27174-3.

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Bynner, John. Modelling childhood antecedents of political cynicism using structural equation modelling. Social Statistics Research Unit, City University, 1996.

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4

P, Odekerken M. E., Schmeets J. J. G, and Pol, F. J. R. van de., eds. Developments and applications in structural equation modelli ng: Proceedings of the twelfth meeting of the "Working group structural equation modelling" ("A G Strukturgleichungsmodelle"). Sociometric Research Foundation, 1991.

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5

Bhattacharya, Joysankar. Women empowerment as multidimensional capability enhancement: An application of structural-equation-modelling. Institute of Development Studies, 2012.

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6

Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.

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7

Hanna, Jim. Assessing consumer preference for local independent retailers: An application of structural equation modelling (SEM). The Author), 2000.

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Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.

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9

O'Loughlin, Christina. Evaluation of measurement quality in the assessment of health related issues using structural equation modelling techniques. The Author], 2000.

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10

Angell, Rob. Learn to Do Structural Equation Modelling (SEM) in SPSS AMOS With Data From the International Sponsorship Study (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526469632.

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11

Alves Ribeiro Correia, Pedro. Using Structural Equation Modelling and Clustering to Research Users’ and Employees’ views of the Portuguese Ministry of Justice. SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529628326.

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12

Loehlin, John C. Latent variable models: An introduction to factor, path, and structural analysis. 2nd ed. Lawrence Erlbaum Associates, 1992.

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13

Loehlin, John C. Latent variable models: An introduction to factor, path, and structural analysis. L. Erlbaum Associates, 1987.

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14

Jak, Suzanne. Meta-Analytic Structural Equation Modelling. Springer London, Limited, 2015.

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15

Meta-Analytic Structural Equation Modelling. Springer, 2015.

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16

Structural Equation Modelling: Application for Research and Practice. Springer, 2020.

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17

Thakkar, Jitesh J. Structural Equation Modelling: Application for Research and Practice. Springer, 2020.

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18

Thakkar, Jitesh J. Structural Equation Modelling: Application for Research and Practice. Springer Singapore Pte. Limited, 2021.

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19

Blunch, Niels. Introduction to Structural Equation Modelling Using SPSS and Amos. SAGE Publications, Incorporated, 2008.

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20

Introduction To Structural Equation Modelling Using Spss And Amos. Sage,, 2008.

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21

Introduction to Structural Equation Modelling Using SPSS and AMOS. Sage Publications Ltd, 2008.

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22

Introduction to Structural Equation Modelling Using SPSS and AMOS. Sage Publications Ltd, 2008.

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23

Hemsworth, David. Modelling using ordinal data: The use of dual scaling in structural equation modelling. 2004.

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24

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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25

Mehmetoglu, Mehmet, and Sergio Venturini. Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2022.

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27

Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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28

Mehmetoglu, Mehmet, and Sergio Venturini. Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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29

Mehmetoglu, Mehmet, and Sergio Venturini. Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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30

Lee, Sik-Yum. Structural Equation Modelling: A Bayesian Approach (Wiley Series in Probability and Statistics). Wiley, 2007.

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31

Metacognitive and Cognitive Strategy Use in Reading Comprehension: A Structural Equation Modelling Approach. Springer Singapore Pte. Limited, 2019.

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32

Zhang, Limei. Metacognitive and Cognitive Strategy Use in Reading Comprehension: A Structural Equation Modelling Approach. Springer, 2017.

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33

Joreskog, Karl G., and Dag Sorbom. Lisrel 8 : Structural Equation Modeling With the Simplis Command Language. Lawrence Erlbaum Associates, 1993.

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34

(Editor), Kees van Montfort, Johan Oud (Editor), and Albert Satorra (Editor), eds. Recent Developments on Structural Equation Models: Theory and Applications (Mathematical Modelling: Theory and Applications). Springer, 2004.

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35

M, Sardar. Digitalisation of Supply Chain Management and Firm Performance: Structural Equation Modelling and Empirical Findings. Nova Science Publishers, Incorporated, 2020.

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36

M, Sardar. Digitalisation of Supply Chain Management and Firm Performance: Structural Equation Modelling and Empirical Findings. Nova Science Publishers, Incorporated, 2019.

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37

Joreskog, Karl G., and Dag Sorbom. Lisrel 8: Structural Equation Modeling With the Simplis Command Language. Lawrence Erlbaum Associates, 1993.

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38

Ramlall, Indranarain. Applied Structural Equation Modelling for Researchers and Practitioners: Using R and Stata for Behavioural Research. Emerald Publishing Limited, 2016.

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39

Ramlall, Indranarian. Applied Structural Equation Modelling for Researchers and Practitioners: Using R and Stata for Behavioral Research. Emerald Publishing Limited, 2016.

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40

Structural Equation Modelling Made Easy for Business and Social Science Research Using SPSS and Amos. Independently Published, 2018.

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41

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Chapman & Hall/CRC, 2004.

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42

Kessels, Roselinde, and Guido Erreygers. A unified structural equation modelling approach for the decomposition of rank-dependent indicators of socioeconomic inequality of health. UNU-WIDER, 2015. http://dx.doi.org/10.35188/unu-wider/2015/902-2.

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43

Eriksson, Olle, Anders Bergman, Lars Bergqvist, and Johan Hellsvik. Density Functional Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.003.0001.

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Density functional theory (DFT) has established itself as a very capable platform for modelling from first principles electronic, optical, mechanical and structural properties of materials. Starting out from the Dirac equation for the many-body system of electrons and nuclei, an effective theory has been developed allowing for materials specific and parameter free simulations of non-magnetic and magnetic solid matter. In this Chapter an introduction will be given to DFT, the Hohenberg-Kohn theorems, the Kohn-Sham equation, and the formalism for how to deal with non-collinear magnetism.

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44

Adamson, Gary, and Brendan Bunting. Some statistical and graphical strategies for exploring the effect of interventions in health research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0021.

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This chapter explores statistical and graphical strategies for exploring the effect of interventions in health research and presents a brief overview of some common and some not so common methods for assessing data from interventions and have pointed to some associated advantages and disadvantages. It discusses gain scores, analysis of variance models, structural equation modelling, and the latent growth model.

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45

Olejnik, Iwona, ed. Qualitative and quantitative methods in sustainable development. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, 2021. http://dx.doi.org/10.18559/978-83-8211-072-2.

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Systematic research and comprehensive analyses allow to monitor the implementation of the sustainable development goals. Obviously, when you are interested in the selected issue of sustainable development, it is worth using data from the secondary sources in the first place. This e-book presents a few selected methods that will allow you to answer the questions: how to gather data and how to analyse them? Among the data collection methods presented in this book, we have chosen both: qualitative, in particular focus group interview, and quantitative—based on a questionnaire. In terms of data an

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46

Parker, Clare. Testing an existing customer satisfaction model using structual equation modelling. 1997.

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47

Panasenko, G. Multi-scale Modelling for Structures and Composites. Springer, 2010.

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48

Panasenko, G. Multi-scale Modelling for Structures and Composites. Springer, 2008.

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Panasenko, G. Multi-scale Modelling for Structures and Composites. Springer, 2005.

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Multi-Scale Modelling for Structures and Composites. Springer London, Limited, 2005.

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