Chapter 10 Implications for extracting self-report measurement from social media text content – What role can Artificial Intelligence (AI) play?

Kapitel in diesem Buch

1. Frontmatter I
2. Contents VII
3. Preface 1
4. Chapter 1 An intuitive need to measure the invisible for understanding thoughts, feelings and behaviors 5
5. Chapter 2 Measuring the invisible: Practical uses and function within the method of science 18
6. Chapter 3 From observing behaviors to conceptualizing selfreport measurement and developing a measurement mindset 25
7. Chapter 4 What can a researcher do to meet the self-report measurement assumptions? 56
8. Chapter 5 Principles and expectations: Statement content and placement 60
9. Chapter 6 Principles and expectations: Response category characteristics 77
10. Chapter 7 Principles and expectations: Motivation to selfreport 96
11. Chapter 8 Principles and expectations: Respondent abilities 128
12. Chapter 9 A roadmap for quantifying the errors stemming from violations of the principles of self-report measurement: The Red Flags Approach (RFA) 152
13. Chapter 10 Implications for extracting self-report measurement from social media text content – What role can Artificial Intelligence (AI) play? 178
14. Chapter 11 A recap and some notes on the relevance of self-report measurement in the age of Artificial Intelligence (AI) 208
15. List of figures 211
16. List of tables 213
17. Index 215