Bandalos, Deborah L. 2017. Measurement Theory and Applications for the Social Sciences. New York, NY: Guilford Publications.
Borsboom, Denny. 2008.
“Latent Variable Theory.” Measurement: Interdisciplinary Research & Perspective 6 (1-2): 25–53.
https://doi.org/10.1080/15366360802035497.
Bortz, Jürgen, and Nicola Döring. 2016.
Forschungsmethoden Und Evaluation: In Den Sozial- Und Humanwissenschaften. 5. Aufl. Berlin: Springer-Verlag.
https://doi.org/10.1007/978-3-540-33306-7.
Brown, Timothy A. 2006.
Confirmatory Factor Analysis for Applied Research. Methodology in the Social Sciences. New York, NY:
Guilford Press.
http://www.loc.gov/catdir/enhancements/fy0629/2006001103-b.html.
———. 2015. Confirmatory Factor Analysis for Applied Research. Second edition. Methodology in the Social Sciences. New York; London: The Guilford Press.
Bühner, Markus. 2011. Einführung in Die Test- Und Fragebogenkonstruktion. 3., aktualisierte und erweiterte Auflage. PS Psychologie. München Harlow Amsterdam Madrid Boston San Francisco Don Mills Mexico City Sydney: Pearson.
Carpenter, Serena. 2017.
“Ten Steps in Scale Development and Reporting: A Guide for Researchers.” Communication Methods and Measures 12 (1): 25–44.
https://doi.org/10.1080/19312458.2017.1396583.
Cheung, Gordon W., and Roger B. Rensvold. 2002.
“Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance.” Structural Equation Modeling: A Multidisciplinary Journal 9 (2): 233–55.
https://doi.org/10.1207/S15328007SEM0902{\textunderscore }5.
Christophersen, Timo, and Christian Grape. 2009.
“Die Erfassung Latenter Konstrukte Mit Hilfe Formativer Und Reflektiver Messmodelle.” In
Methodik Der Empirischen Forschung, edited by Sönke Albers, Daniel Klapper, Udo Konradt, Achim Walter, and Joachim Wolf, 103–18. Wiesbaden:
Gabler Verlag.
https://doi.org/10.1007/978-3-322-96406-9{\textunderscore }8.
DeVellis, Robert F. 2017. Scale Development: Theory and Applications. Fourth edition. Vol. 26. Applied Social Research Methods Series. Los Angeles; London; New Delhi; Singapore; Washington DC; Melbourne: SAGE.
Edwards, Jeffrey R. 2011.
“The Fallacy of Formative Measurement.” Organizational Research Methods 14 (2): 370–88.
https://doi.org/10.1177/1094428110378369.
Field, Andy. 2018. Discovering Statistics Using IBM SPSS Statistics. 5th edition. Los Angeles; London; New Delhi; Singapore; Washington DC; Melbourne: IBM SPSS statistics; SAGE.
Field, Andy, Jeremy Miles, and Zoë Field. 2012. Discovering Statistics Using r. Los Angeles; London; New Delhi; Singapore; Washington, DC: SAGE.
Fuchs-Heinritz, Werner, Rüdiger Lautmann, Otthein Rammstedt, and Hanns Wienold. 1994.
Lexikon Zur Soziologie. Wiesbaden:
VS Verlag für Sozialwissenschaften.
https://doi.org/10.1007/978-3-322-91545-0.
Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, and Marko Sarstedt. 2022. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Third edition. Los Angeles; London; New Delhi; Singapore; Washington DC; Melbourne: SAGE.
Hair, Joseph F., Christian M. Ringle, and Marko Sarstedt. 2012.
“Partial Least Squares: The Better Approach to Structural Equation Modeling?” Long Range Planning 45 (5-6): 312–19.
https://doi.org/10.1016/j.lrp.2012.09.011.
Hermida, Richard. 2015. “The Problem of Allowing Correlated Errors in Structural Equation Modeling: Concerns and Considerations.” Computational Methods in Social Sciences 3 (1): 5–17.
Kenny, David A., Burcu Kaniskan, and D. Betsy McCoach. 2014.
“The Performance of RMSEA in Models with Small Degrees of Freedom.” Sociological Methods & Research 44 (3): 486–507.
https://doi.org/10.1177/0049124114543236.
Kieslich, Kimon, Marco Lünich, and Frank Marcinkowski. 2020.
“The Threats of Articial Intelligence Scale (TAI): Development, Measurement and Test over Three Application Domains.” arXiv.
https://arxiv.org/abs/2006.07211.
———. 2021.
“The Threats of Artificial Intelligence Scale (TAI).” International Journal of Social Robotics, 1–15.
https://doi.org/10.1007/s12369-020-00734-w.
Kline, Rex B. 2011.
Principles and Practice of Structural Equation Modeling. New York:
ebrary, Inc;
Guilford Press.
http://site.ebrary.com/lib/academiccompletetitles/home.action.
———. 2016. Principles and Practice of Structural Equation Modeling. Fourth edition. Methodology in the Social Sciences. New York; London: The Guilford Press.
Kohring, Matthias. 2004. Vertrauen in Journalismus: Theorie Und Empirie. Konstanz: UVK Verlagsgesellschaft.
Little, Todd D., David W. Slegers, and Noel A. Card. 2006.
“A Non-Arbitrary Method of Identifying and Scaling Latent Variables in SEM and MACS Models.” Structural Equation Modeling: A Multidisciplinary Journal 13 (1): 59–72.
https://doi.org/10.1207/s15328007sem1301{\textunderscore }3.
Marcinkowski, Frank, and Christopher Starke. 2018.
“Trust in Government: What’s News Media Got to Do with It?” Studies in Communication Sciences 18 (1): 187–02.
https://doi.org/10.24434/J.SCOMS.2018.01.006.
———. 2019. “Wann Ist künstliche Intelligenz (Un-)Fair? Ein Sozialwissenschaftliches Konzept von KI-Fairness.” In Politik in Der Digitalen Gesellschaft, edited by Jeanette Hofmann, Norbert Kersting, and Claudia Ritzi, 269–88. Bielefeld: transcript.
Masch, Lena, and Ulrich Rosar. 2020.
“Umfragen Als Erhebungsinstrument in Der Politischen Kommunikationsforschung.” In
Handbuch Politische Kommunikation, edited by Isabelle Borucki, Katharina Kleinen-von Königslöw, Stefan Marschall, and Thomas Zerback, 1–10. Wiesbaden:
Springer Fachmedien Wiesbaden.
https://doi.org/10.1007/978-3-658-26242-6{\textunderscore }47-1.
Masur, Philipp K., Doris Teutsch, and Sabine Trepte. 2017.
“Entwicklung Und Validierung Der Online-Privatheitskompetenzskala (OPLIS).” Diagnostica, 1–13.
https://doi.org/10.1026/0012-1924/a000179.
Milli, Smitha, Luca Belli, and Moritz Hardt. 2020.
“From Optimizing Engagement to Measuring Value.” arXiv.
https://arxiv.org/abs/2008.12623.
Müller, Philipp, and Svenja Schäfer. 2017.
“Latent Mean (Comparison).” In
The International Encyclopedia of Communication Research Methods, edited by Jörg Matthes, Christine S. Davis, and Robert F. Potter, 1–7. Wiley.
https://doi.org/10.1002/9781118901731.iecrm0132.
Rössler, Patrick. 2011.
Skalenhandbuch Kommunikationswissenschaft. 1. Aufl. Wiesbaden:
VS Verlag für Sozialwissenschaften / Springer Fachmedien Wiesbaden GmbH Wiesbaden.
https://doi.org/10.1007/978-3-531-94179-0.
Starke, Christopher, Janine Baleis, Birte Keller, and Frank Marcinkowski. 2021. “Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature.”
Starke, Christopher, and Marco Lünich. 2020.
“Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy.” Arxiv, no. Pre-print: 1–18.
http://arxiv.org/pdf/2003.11320v1.
van de Schoot, Rens, Peter Lugtig, and Joop Hox. 2012.
“A Checklist for Testing Measurement Invariance.” European Journal of Developmental Psychology 9 (4): 486–92.
https://doi.org/10.1080/17405629.2012.686740.
van Deursen, Alexander J. A. M., Ellen J. Helsper, and Rebecca Eynon. 2016.
“Development and Validation of the Internet Skills Scale (ISS).” Information, Communication & Society 19 (6): 804–23.
https://doi.org/10.1080/1369118X.2015.1078834.
Weiber, Rolf, and Daniel Mühlhaus. 2014.
Strukturgleichungsmodellierung: Eine Anwendungsorientierte Einführung in Die Kausalanalyse Mit Hilfe von AMOS, SmartPLS Und SPSS. Berlin:
Springer Gabler.
https://doi.org/10.1007/978-3-642-35012-2.
Yale, Robert N., Jakob D. Jensen, Nick Carcioppolo, Ye Sun, and Miao Liu. 2015.
“Examining First- and Second-Order Factor Structures for News Credibility.” Communication Methods and Measures 9 (3): 152–69.
https://doi.org/10.1080/19312458.2015.1061652.