J 2018

The Short Maximization Inventory

ĎURINÍK, Michal, Jakub PROCHÁZKA and Hynek CÍGLER

Basic information

Original name

The Short Maximization Inventory

Authors

ĎURINÍK, Michal (703 Slovakia, belonging to the institution), Jakub PROCHÁZKA (203 Czech Republic, guarantor, belonging to the institution) and Hynek CÍGLER (203 Czech Republic, belonging to the institution)

Edition

Judgment and Decision Making, Tallahassee (FL, USA), Society for Judgment and Decision Making, 2018, 1930-2975

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

Economics

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

URL

RIV identification code

RIV/00216224:14560/18:00102240

Organization

Ekonomicko-správní fakulta – Repository – Repository

DOI

http://dx.doi.org/10.1017/S1930297500008871

UT WoS

000423735500010

EID Scopus

2-s2.0-85041895275

Keywords in English

maximization; Maximization Inventory; scale shortening; Short Maximization Inventory

Links

MUNI/A/1021/2015, interní kód Repo.
Changed: 27/1/2024 04:02, RNDr. Daniel Jakubík

Abstract

V originále

amp; Nygren, 2012) from 34 items to 15 items. Using the Item Response Theory framework, we identified and removed the items of the Maximization Inventory that contributed least to the performance of the original scale. The construct validity assessed for SMI is similar to the full MI and is in line with the predictions from the literature: the Satisficing subscale is positively related to the indices of well-being, while the Decision Difficulty and Alternative Search subscales are negatively related to well-being. The new scale retains the good psychometric properties of the original scale. Furthermore, its brevity allows researchers to use the scale in studies in which maximization is not the primary focus. Although the SMI lacks the “High Standards” subscale, as did the original MI, we believe that SMI is a step towards developing a reliable and conceptually sound measure of maximizing that can be used in various research designs.
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