A 14-item semantic differential measure of multidimensional country image applicable across any target country. The overall 14-item scale shows high reliability (alpha=0.895–0.950 across samples). Subscale alphas are more variable (0.56–0.89). Country image is conceptually distinct from country-of-origin product evaluations — it captures macro-level perceptions of a nation rather than product quality inferences. Validated across Japan, USA, India, and West Germany using six samples. Discriminant validity from country-of-origin product attitude measures demonstrated (correlations 0.18–0.51, all ns). Used in research on country branding, bilateral trade attitudes, and macro-environment assessments.
7-point semantic differential scales; items summed within dimensions or across all 14 for an overall composite. Higher scores reflect higher levels of the construct (most items require reverse coding except items 6 and 9).
Political (5 items) — system of government, civic freedoms, literacy. 7-point semantic differential; higher scores = more favourable. Note: exact item-to-dimension assignments have some ambiguity in the original article.
Economic (5 items) — economic development, industrial base, standard of living. 7-point semantic differential.
Technological (4 items) — production capability, quality, and technology level. 7-point semantic differential.
Full scale items shown. Always cite the original source when using this scale in research.
Most items require reverse coding such that higher scores reflect higher levels of the construct — exceptions are items 6 (High labor costs — Low labor costs) and 9 (Existence of welfare system — Lack of welfare system) where scoring direction is ambiguous. Exact item-to-dimension assignments are slightly unclear across Tables 2–4 and Appendix C in the original article. The 14-item composite is the most reliably used form (alpha 0.895–0.950). Subscales are less reliable individually.
Martin, I., & Eroglu, S. (1993). Measuring a multi-dimensional construct: Country image. Journal of Business Research, 28(3), 191–210.
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