Cited by 1,291Psychometric Methodologies and TestingPsychological Testing and AssessmentAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The Development of a Rasch-Type Loneliness Scale

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de Jong-Gierveld, Jenny, Kamphuls, Frans·1985·Applied Psychological Measurement

Abstract

This paper describes an attempt to construct a measuring instrument for loneliness that meets the cri teria of a Rasch scale. Rasch (1960, 1966) proposed a latent trait model for the unidimensional scaling of di chotomous items that does not suffer from the inade quacies of classical approaches. The resulting Rasch scale of this study, which is based on data from 1,201 employed, disabled, and jobless adults, consists of five positive and six negative items. The positive items assess feelings of belongingness, whereas the negative items apply to three separate aspects of miss ing relationships. The techniques for testing the as sumptions underlying the Rasch model are compared with their counterparts from classical test theory, and the implications for the methodology of scale con struction are discussed.

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  • Studies with more comprehensive measures of loneliness are better able to detect associations between loneliness and subsequent cognitive decline.

    “It is likely that studies with more comprehensive measures of loneliness (e.g., the De Jong Gierveld Loneliness Scale [de Jong-Gierveld & Kamphuls, 1985)] or the UCLA loneliness scale [Russell, 1996]) are better able to detect associations between loneliness and subsequent cognitive decline.”

    From Longitudinal Associations Between Loneliness and Cognitive Ability in the Lothian Birth Cohort 1936 (2019) · cites this paper as de Jong-Gierveld & Kamphuls, 1985

  • Factor analyses of the 20-item UCLA Loneliness Scale have revealed two to five dimensions, with second-order factor analyses yielding a single hierarchical loneliness construct.

    “factor analyses of the 20-item UCLA Loneliness Scale have revealed anywhere from two to five dimensions, with second-order factor analyses yielding a single hierarchical loneliness construct.”

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1 of the 35 references couldn’t be matched to a known paper.

Research works printed but not linked: 8

  1. Anderberg, M. R. (1973). Clusteranalysis for applica- tions. New York: Academic Press.
  2. Fischer, G. (1978). Probabilistic test models and their applications. German Journal of Psychology, 2, 298- 319.
  3. Ironson, G. H. (1982). Use of chi-square and latent trait approaches for detecting item bias. In R. A. Berk (Ed.), Handbook of methods for detecting test bias (pp. 117-160). Baltimore: Johns Hopkins University Press.
  4. Molenaar, I. W. (1983a). Rasch, Mokken en school- beleving. In S. Lindenberg & F. N. Stokman (Eds.), Modellen in de sociologie (pp. 195-213). Deventer: Van Loghum Slaterus.
  5. Overall, J. E., & Klett, C. J. (1972). Applied multivar- iate analysis. New York: McGraw-Hill.
  6. Peplau, L. A., & Perlman, D. (Eds.). (1982). Loneli- ness : A sourcebook of current theory, research and therapy. New York: Wiley Interscience.
  7. Roskam, E. E. Ch. I. (1977). A survey of the Michigan- Israel-Netherlands-Integrated Series. In J. C. Lingoes (Ed.), Geometrical representation of relational data (pp. 289-311). Ann Arbor MI: University of Mich- igan.
  8. Russell, D., Peplau, L. A., & Cutrona, C. E. (1980). The revised UCLA Loneliness Scale. Journal of Per- sonality and Social Psychology, 39, 472-480.

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Authors
de Jong-Gierveld, J., & Kamphuls, F.
Affiliations
  • Free University, Amsterdam
  • Vrije Universiteit Amsterdam (NL)
Venue
Applied Psychological Measurement
Published
1985-09
Volume
9
Issue
3
Pages
289-299
ISSN
  • 0146-6216 (ISSN-L)
  • 1552-3497
OpenAlex
W1928146223
Cited by
1,291
References
35
Citations by year
2026: 84 · 2025: 96 · 2024: 94 · 2023: 108 · 2022: 119 · 2021: 91 · 2020: 73 · 2019: 62 · 2018: 41 · 2017: 54 · 2016: 51 · 2015: 56 · 2014: 34 · 2013: 39 · 2012: 29
FWCI
1.96
Type
journal article
Language
en
Open access
Locations
  • Applied Psychological Measurement (publishedVersion)
  • University of Minnesota Digital Conservancy (University of Minnesota) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
loneliness, Rasch model, scale development, latent trait models, dichotomous items, sense of belonging, classical test theory comparison

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