Maximisation Tendency Scale

MTSMaximising Tendency in Consumer Decision Making
9 items 2008 α 0.77–0.86 Free Nenkov, G.Y., Morrin, M., Ward, A., Schwartz, B. & Hulland, J.

What it measures

A psychometrically superior 3-factor short form of the Schwartz et al. (2002) Maximisation Scale, developed and validated specifically for consumer research. Alternative Search captures the tendency to consider all alternatives before choosing. Satisficing (reversed) captures the tendency not to settle for good-enough options. Decision Difficulty captures the experience of difficulty making final choices due to continued searching. The MTS addresses the psychometric limitations of the original 13-item scale and better represents the multidimensional structure of maximising consumer behaviour. Maximisers experience more post-decision regret, engage in more pre-purchase information search, and are less satisfied despite often achieving objectively better outcomes.

Response format

Likert (1–7, strongly disagree to strongly agree)

Scale items

Alternative Search — tendency to consider all alternatives before choosing (Likert 1–7)

Satisficing — tendency to settle for good enough (Likert 1–7, reverse-scored)

Decision Difficulty — experience of difficulty making final choices (Likert 1–7)

Full scale items shown. Always cite the original source when using this scale in research.

Usage notes & scoring

Three subscale scores and a total MTS score. Recommended over the Schwartz et al. (2002) MS (id:401) for consumer research due to superior psychometrics. Both scales are in PsychScales for reference — MTS is the preferred operational version.

Recommended companion scales

Citation

Nenkov, G.Y., Morrin, M., Ward, A., Schwartz, B., & Hulland, J. (2008). A short form of the maximization scale: Factor structure, reliability and validity. Journal of Consumer Research, 35(3), 481–490.

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Keywords

#maximising#satisficing#decisionmaking#alternativesearch#decisiondifficulty#choiceoverload#post-decisionregret#informationsearch#variety#consumerchoice#paradoxofchoice
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