The foundational values measurement instrument in consumer and social research. The 36 values have been used in hundreds of marketing studies to understand consumer segments, cross-cultural value differences, and links between values, attitudes, and behaviour. The standard format is rank ordering (ordinal scores), though Likert and anchored-endpoint interval-scale formats have been validated as acceptable alternatives (Munson & McIntyre 1979). Terminal values structure: self-actualisation/hedonism, idealism, and security dimensions. Instrumental values structure: self-direction, conformity, and virtuousness dimensions (Crosby et al. 1990). Shortened versions (12 or 15 values) relevant to consumer behaviour have been validated (Munson & McQuarrie 1988). Values range in mean importance from M=4.5 (social recognition) to M=6.6 (honesty, self-respect).
Rank order: respondents rank all 18 terminal values and all 18 instrumental values separately from 1 (most important) to 18 (least important). Alternative formats include Likert rating scales and anchored endpoint scales.
Terminal Values (18 items) — desired end states of existence. Rank 1 (most important guiding principle) to 18 (least important).
Instrumental Values (18 items) — preferable modes of behaviour. Rank 1 (most important guiding principle) to 18 (least important).
Full scale items shown. Always cite the original source when using this scale in research.
The rank-order format produces ordinal data — Spearman's rho or Kendall's tau are appropriate for reliability and validity. Test-retest rho=0.70–0.82 over 7 weeks. Likert format (important to not important, 7-point) is an acceptable alternative (rho=0.74–0.76; alpha=0.94–0.95 for full set). Mean scores on 7-point scales: range from Social recognition M=4.5 to Honesty M=6.6 and Self-respect M=6.6. The 24-item consumer-behaviour-relevant subset (Munson & McQuarrie 1988) and 12-item short forms are available for efficiency. The LOV (id:483) is generally preferred for consumer behaviour research due to its brevity and stronger predictive validity.
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