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Cited by 516

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Psychometric Evaluation of the Lexington Attachment to Pets Scale (Laps)

Johnson, Timothy P., Garrity, Thomas F., Stallones, Lorann·1992·Anthrozoös

Abstract

This paper reports on the development and psychometric evaluation of a scale for assessing emotional attachment of individuals to their pets. Previous attachment scales have suffered variously from low internal consistency and reliance on small or nonrepresentative samples for their development. Telephone interviews of a random, representative sample of 412 pet owners in Fayette County, Kentucky, were completed in September 1990; a 69.5 percent response rate was achieved. From a preliminary set of 42 questions, a final 23-question instrument, the Lexington Attachment to Pets Scale (LAPS), was developed, having excellent psychometric properties. The scale is suitable for use with dog and cat owners. Data on internal consistency, factor structure, and item response theory (IRT) modeling are presented, along with correlations between the LAPS and several domains of variables known to relate to pet attachment.

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Metadata

Authors
Johnson, T. P., Garrity, T. F., & Stallones, L.
Venue
Anthrozoös
Published
1992-09
Volume
5
Issue
3
Pages
160-175
ISSN
  • 0892-7936 (ISSN-L)
  • 1753-0377
OpenAlex
W2064775784
Cited by
516
References
31
FWCI
0.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Psychometric Evaluation of the Lexington Attachment to Pets Scale (Laps). https://app.cochat.ai/papers/10.2752/089279392787011395
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Johnson, T. P., Garrity, T. F., & Stallones, L. (1992). Psychometric Evaluation of the Lexington Attachment to Pets Scale (Laps). Anthrozoös. https://doi.org/10.2752/089279392787011395

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.