An Introduction to Self-Report Measurement
Concepts, Principles and Expectations
Michael G. Elasmar
EPUB
ca. 69,95 €
(Lieferbar ab 21. April 2025)
Sozialwissenschaften, Recht, Wirtschaft / Sozialwissenschaften allgemein
Beschreibung
This book covers the science of measuring the invisible building blocks of thought processes that are useful for understanding humans, including technology users, media consumers, and consumers of goods and services. It provides:
- An explanation of what self-report measurement entails for beginners;
- A clear set of assumptions needed in order for self-report measures to yield valuable information;
- A mindset that needs to be adopted when using self-report measurement in the contexts of surveys and experiments;
- Guidance for extracting opinion from social media text content and integrating AI;
- A roadmap for quantifying the errors associated with self-report measurement.
Rezensionen
</em> <br><strong>Seth Stuck,VP, Product Research & Analytics, Media & Entertainment Industry</strong><br></p>
<p><em>"In teaching Device and Diagnostic Design within biomedical engineering, a central challenge is understanding and addressing user needs – a critical aspect of effective design. Michael Elasmar’s approach equips students with the tools to ask the right questions, his work bridges the gap between understanding user behavior and creating impactful medical devices and diagnostics."</em> <br><strong>Joyce Y. Wong, PhD, Boston University, Inaugural Term Distinguished Professor of Engineering, Professor Biomedical Engineering, Materials Science & Engineering </strong> </p> <p><em>"Want to know what makes consumers tick? Ask them! It’s a critical part of our research toolkit; but, it must be done with rigor and care to be effective. And no one distills this science more effectively than Dr. Elasmar. It’s required reading for the modern researcher."</em> <br><strong>Chris Aswad, Founder, Insight By Design, Marketing Research/Consumer Insights and Consulting Industry</strong></p> <p><em>"The foundational understanding of measurement and constructs I gained from Dr. Elasmar's class has been invaluable. It's remarkable how much this academic knowledge is valued and needed in the industry."</em> <strong>Aona Yang, UX Research Lead, Global Tech Industry, & Host of AonaTalks, a YouTube channel dedicated to understanding User Experience Research (UXR)</strong> </p> <p><em>"As a former graduate student of Dr. Elasmar's, I gained a deep understanding of the scientific rigor required to transform qualitative data and seemingly subjective opinions into reliable, actionable insights. Dr. Elasmar has literally written the book on how to do so."
<p><em>"In teaching Device and Diagnostic Design within biomedical engineering, a central challenge is understanding and addressing user needs – a critical aspect of effective design. Michael Elasmar’s approach equips students with the tools to ask the right questions, his work bridges the gap between understanding user behavior and creating impactful medical devices and diagnostics."</em> <br><strong>Joyce Y. Wong, PhD, Boston University, Inaugural Term Distinguished Professor of Engineering, Professor Biomedical Engineering, Materials Science & Engineering </strong> </p> <p><em>"Want to know what makes consumers tick? Ask them! It’s a critical part of our research toolkit; but, it must be done with rigor and care to be effective. And no one distills this science more effectively than Dr. Elasmar. It’s required reading for the modern researcher."</em> <br><strong>Chris Aswad, Founder, Insight By Design, Marketing Research/Consumer Insights and Consulting Industry</strong></p> <p><em>"The foundational understanding of measurement and constructs I gained from Dr. Elasmar's class has been invaluable. It's remarkable how much this academic knowledge is valued and needed in the industry."</em> <strong>Aona Yang, UX Research Lead, Global Tech Industry, & Host of AonaTalks, a YouTube channel dedicated to understanding User Experience Research (UXR)</strong> </p> <p><em>"As a former graduate student of Dr. Elasmar's, I gained a deep understanding of the scientific rigor required to transform qualitative data and seemingly subjective opinions into reliable, actionable insights. Dr. Elasmar has literally written the book on how to do so."
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Schlagwörter
measurement error, latente Variablen, Messfehler, thought process building blocks, Denkprozessbausteine, principles of self-report measurement, measurement science, self-report, latent variables, Selbstbericht, Prinzipien der Selbstberichtsmessung, Messwissenschaften