Skip to main content

Informatics Technologies for the Acquisition of Psychological, Behavioral, Interpersonal, Social and Environmental Data

  • Chapter
  • First Online:
Mental Health Informatics

Part of the book series: Health Informatics ((HI))

Abstract

The collection, capture, storage, sharing, and interpretation of data are essential to all research and practice in mental health. A wide range of informatics technologies and tools have been developed to facilitate data use across the full knowledge acquisition lifecycle. In this chapter, we focus on data acquisition. We introduce the field of psychometrics—the science of measurement in psychology. We discuss the unique challenges of data acquisition in mental health by exploring the nature of psychological, behavioral, interpersonal, social, and environmental data in the context of mental health. Finally, we discuss some current challenges in the use of informatics technologies for data in these domains and how those challenges might be addressed in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kaplan RM, Saccuzzo DP. Psychological testing: principles, applications, and issues. 5th and 9th ed. Cengage Learning. 2017. https://doi.org/10.1017/CBO9781107415324.004

  2. Aguinis H, Culpepper SA, Pierce CA. Differential prediction generalization in college admissions testing. J Educ Psychol. 2016; https://doi.org/10.1037/edu0000104.

  3. Cronbach LJ, Meehl PE. Construct validity in psychological tests. Psychol Bull. 1955; https://doi.org/10.1037/h0040957.

  4. Colman. A.M. A dictionary of psychology: Oxford University Press; 2009.

    Google Scholar 

  5. Hyatt CS, Sleep CE, Lamkin J, Maples-Keller JL, Sedikides C, Campbell WK, Miller JD. Narcissism and self-esteem: a nomological network analysis. PLoS One. 2018; https://doi.org/10.1371/journal.pone.0201088.

  6. Nunnally JC. Psychometric theory. 25 years ago and now. Educ Researcher. 1975; https://doi.org/10.2307/1175619.

  7. Flake JK, Fried EI. Measurement schmeasurement: questionable measurement practices and how to avoid them. PsyArXiv (Preprint). 2019. https://doi.org/10.31234/osf.io/hs7wm.

  8. Hand DJ. Measurement: A very short introduction. Oxford University Press; 2016.

    Google Scholar 

  9. Dumont R, Willis JO, Veizel K, Zibulsky J. Wechsler adult intelligence scale. In: Encyclopedia of Special Education. 4th ed; 2014. https://doi.org/10.1002/9781118660584.ese2520.

    Chapter  Google Scholar 

  10. Roid GH, Pomplun M. The Stanford-Binet intelligence scales: The Guilford Press; 2012.

    Google Scholar 

  11. Woodcock, K. S., Schrank, R. W., Mather, F. A., & McGrew, N. (2014). Woodock Johnson IV – Tests of cognitive ability, oral language, and achievement.

    Google Scholar 

  12. Zibulsky J, Veizel K. Wechsler memory scale. In: Encyclopedia of Special Education. 4th ed; 2014. https://doi.org/10.1002/9781118660584.ese2524.

    Chapter  Google Scholar 

  13. McCrae RR, John OP. An introduction to the five-factor model and its applications. J Pers. 1992; https://doi.org/10.1111/j.1467-6494.1992.tb00970.x.

  14. Widiger TA, Trull TJ. Assessment of the five-factor model of personality. J Pers Assess. 1997; https://doi.org/10.1207/s15327752jpa6802_2.

  15. Widiger TA, Presnall JR. Clinical application of the five-factor model. J Pers. 2013; https://doi.org/10.1111/jopy.12004.

  16. Myers IB. The Myers-Briggs type indicator: manual (1962); 2014. https://doi.org/10.1037/14404-000.

    Book  Google Scholar 

  17. Morey LC. The personality assessment inventory. In: Personality assessment. 2nd ed; 2014. https://doi.org/10.4324/9780203119143.

    Chapter  Google Scholar 

  18. Gough HG. The California psychological inventory. In: Testing and assessment in counseling practice. 2nd ed; 2012. https://doi.org/10.4324/9781410604323-9.

    Chapter  Google Scholar 

  19. Butcher JN, Williams CL. Essentials of MMPI-2 and MMPI-A interpretation: University of Minnesota Press; 1992.

    Google Scholar 

  20. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961; https://doi.org/10.1001/archpsyc.1961.01710120031004.

  21. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56–62. https://doi.org/10.1136/jnnp.23.1.56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Measurement. 1977; https://doi.org/10.1177/014662167700100306.

  23. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; https://doi.org/10.1046/j.1525-1497.2001.016009606.x.

  24. Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Manual for the state-trait anxiety inventory. Palo Alto, CA: Consulting Psychologists Press; 1983.

    Google Scholar 

  25. Hamilton M. The assessment of anxiety states by rating. Br J Med Psychol. 1959;32:50–5. https://doi.org/10.1111/j.2044-8341.1959.tb00467.x.

    Article  CAS  PubMed  Google Scholar 

  26. Di Nardo PA, Barlow DH. Anxiety disorders interview schedule-revised (ADIS-R). New York: Phobia and Anxiety Disorders Clinic, Center for Stress and Anxiety Disorders, State University of New York at Albany; 1988.

    Google Scholar 

  27. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; https://doi.org/10.1001/archinte.166.10.1092.

  28. McRae K, Gross JJ. Emotion regulation. Washington, DC: Emotion; 2020. https://doi.org/10.1037/emo0000703.

    Book  Google Scholar 

  29. Chu DA, Williams LM, Harris AWF, Bryant RA, Gatt JM. Early life trauma predicts self-reported levels of depressive and anxiety symptoms in nonclinical community adults: relative contributions of early life stressor types and adult trauma exposure. J Psychiatr Res. 2013; https://doi.org/10.1016/j.jpsychires.2012.08.006.

  30. Clark C, Caldwell T, Power C, Stansfeld SA. Does the influence of childhood adversity on psychopathology persist across the lifecourse? A 45-year prospective epidemiologic study. Ann Epidemiol. 2010; https://doi.org/10.1016/j.annepidem.2010.02.008.

  31. Marin MF, Lord C, Andrews J, Juster RP, Sindi S, Arsenault-Lapierre G, et al. Chronic stress, cognitive functioning and mental health. Neurobiol Learn Mem. 2011; https://doi.org/10.1016/j.nlm.2011.02.016.

  32. Sloan E, Hall K, Moulding R, Bryce S, Mildred H, Staiger PK. Emotion regulation as a transdiagnostic treatment construct across anxiety, depression, substance, eating and borderline personality disorders: a systematic review. Clin Psychol Rev. 2017; https://doi.org/10.1016/j.cpr.2017.09.002.

  33. Kingdon D, Mander H. Cognitive behavioral therapy. In: International encyclopedia of the social & behavioral sciences. 2nd ed; 2015. https://doi.org/10.1016/B978-0-08-097086-8.27011-6.

    Chapter  Google Scholar 

  34. American Psychiatric Association. DSM-5 Diagnostic Classification. Diagn Statist Manual Mental Disorders. 2013; https://doi.org/10.1176/appi.books.9780890425596.x00diagnosticclassification.

  35. First MB. Structured clinical interview for the DSM (SCID). In: The encyclopedia of clinical psychology; 2015. https://doi.org/10.1002/9781118625392.wbecp351.

    Chapter  Google Scholar 

  36. First MB, Williams JBW, Karg RS, Spitzer RL. Structured clinical interview for DSM-5 research version. Washington DC: American Psychiatric Association; 2015.

    Google Scholar 

  37. Tolin DF, Gilliam C, Wootton BM, Bowe W, Bragdon LB, Davis E, et al. Psychometric properties of a structured diagnostic interview for DSM-5 anxiety, mood, and obsessive-compulsive and related disorders. Assessment. 2018; https://doi.org/10.1177/1073191116638410.

  38. Lord C, Rutter M, DiLavore P, Risi S, Gotham K, Bishop S. Autism diagnostic observation schedule – Second edition (ADOS-2). Los Angeles, CA: Western Psychological Corporation; 2012.

    Google Scholar 

  39. Mischel W, Ebbesen EB. Attention in delay of gratification. J Pers Soc Psychol. 1970; https://doi.org/10.1037/h0029815.

  40. Cohen RA, Hitsman BL, Paul RH, McCaffery J, Stroud L, Sweet L, et al. Early life stress and adult emotional experience: an international perspective. Int J Psychiatry Med. 2006; https://doi.org/10.2190/5R62-9PQY-0NEL-TLPA.

  41. Ainsworth MS. Infant–mother attachment. Am Psychol. 1979;34(10):932.

    Article  CAS  PubMed  Google Scholar 

  42. Bowlby J. Attachment and loss, Vol. I: Attachment. New York: Basic Books; 1969.

    Google Scholar 

  43. Ainsworth MDS, Bell SM. Attachment, exploration, and separation: Illustrated by the behavior of one-yearolds in a strange situation. Child development. 1970;49–67.

    Google Scholar 

  44. George C, Kaplan N, Main M. Adult Attachment Interview; 1985.

    Google Scholar 

  45. Shilo S, Rossman H, Segal E. Axes of a revolution: challenges and promises of big data in healthcare. Nat Med. 2020; https://doi.org/10.1038/s41591-019-0727-5.

  46. Velupillai S, Suominen H, Liakata M, Roberts A, Shah AD, Morley K, et al. Using clinical Natural Language Processing for health outcomes research: overview and actionable suggestions for future advances. J Biomed Inform. 2018; https://doi.org/10.1016/j.jbi.2018.10.005.

  47. van Ballegooijen W, Riper H, Cuijpers P, van Oppen P, Smit JH. Validation of online psychometric instruments for common mental health disorders: a systematic review. BMC Psychiatry. 2016; https://doi.org/10.1186/s12888-016-0735-7.

  48. Wongkoblap A, Vadillo MA, Curcin V. Researching mental health disorders in the era of social media: systematic review. J Med Internet Res. 2017; https://doi.org/10.2196/jmir.7215.

  49. Karmegam D, Ramamoorthy T, Mappillairajan B. A systematic review of techniques employed for determining mental health using social media in psychological surveillance during disasters. Disaster Med Public Health Preparedness. 2019; https://doi.org/10.1017/dmp.2019.40.

  50. De Choudhury M, Kiciman E, Dredze M, Coppersmith G, Kumar M. Discovering shifts to suicidal ideation from mental health content in social media. In: Conference on Human Factors in Computing Systems – Proceedings; 2016. https://doi.org/10.1145/2858036.2858207.

  51. Tsakalidis A, Liakata M, Damoulas T, Cristea AI. Can we assess mental health through social media and smart devices? Addressing bias in methodology and evaluation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2019. https://doi.org/10.1007/978-3-030-10997-4_25.

    Chapter  Google Scholar 

  52. Mohr DC, Zhang M, Schueller SM. Personal sensing: understanding mental health using ubiquitous sensors and machine learning. Annu Rev Clin Psychol. 2017; https://doi.org/10.1146/annurev-clinpsy-032816-044949.

  53. Morshed MB, Saha K, Li R, D’Mello SK, De Choudhury M, Abowd GD, Plötz T. Prediction of mood instability with passive sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2019; https://doi.org/10.1145/3351233.

  54. Morgan WP. Physical activity and mental health. 2013; https://doi.org/10.4324/9780203782361.

  55. Nutsford D, Pearson AL, Kingham S. An ecological study investigating the association between access to urban green space and mental health. Public Health. 2013; https://doi.org/10.1016/j.puhe.2013.08.016.

  56. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008; https://doi.org/10.1146/annurev.clinpsy.3.022806.091415.

  57. Adair JG. The Hawthorne effect: a reconsideration of the methodological artifact. J Appl Psychol. 1984; https://doi.org/10.1037/0021-9010.69.2.334.

  58. Reynolds CR, Suzuki LA. Bias in psychological assessment: an empirical review and recommendations. In: Handbook of psychology, Vol. 10: Assessment psychology. 2nd ed; 2013.

    Google Scholar 

  59. Robinaugh DJ, Haslbeck JMB, Ryan O, Fried EI, Waldorp LJ. Invisible hands and fine calipers: a call to use formal theory as a toolkit for theory construction. Perspect Psychol Sci. 2020;

    Google Scholar 

  60. Hastings J. Mental health ontologies: how we talk about mental health, and why it matters in the digital age: University of Exeter Press; 2020.

    Book  Google Scholar 

  61. Hastings J, Michie S, Johnston M. Theory and ontology in behavioural science. Nat Hum Behav. 2020; https://doi.org/10.1038/s41562-020-0826-9.

  62. Hastings J, Frishkoff GA, Smith B, Jensen M, Poldrack RA, Lomax J, et al. Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies. Front Neuroinf. 2014; https://doi.org/10.3389/fninf.2014.00062.

  63. Larsen RR, Hastings J. From affective science to psychiatric disorder: ontology as a semantic bridge. Front Psychiatry. 2018; https://doi.org/10.3389/fpsyt.2018.00487.

  64. Martone ME, Garcia-Castro A, VandenBos GR. Data sharing in psychology. Am Psychol. 2018; https://doi.org/10.1037/amp0000242.

  65. Vellido A. The importance of interpretability and visualization in machine learning for applications in medicine and health care. Neural Comput Applic. 2019; https://doi.org/10.1007/s00521-019-04051-w.

  66. Harvey A, Brand A, Holgate ST, Kristiansen LV, Lehrach H, Palotie A, Prainsack B. The future of technologies for personalised medicine. New Biotechnol. 2012; https://doi.org/10.1016/j.nbt.2012.03.009.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elena Tenenbaum .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Tenenbaum, E., Ranallo, P.A., Hastings, J. (2021). Informatics Technologies for the Acquisition of Psychological, Behavioral, Interpersonal, Social and Environmental Data. In: Tenenbaum, J.D., Ranallo, P.A. (eds) Mental Health Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-70558-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-70558-9_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70557-2

  • Online ISBN: 978-3-030-70558-9

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics