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Improving Cross-Cultural Equivalence Through Scale-Specific Translation Guides: An Example Case of the Primals Inventory

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Abstract

Despite sophisticated scale-generic guidance for adapting/translating self-report scales and widespread adherence to guidance, low invariance remains a problem in cross-cultural clinical research. This may be due to scale-specific translation challenges, and original scale-creation papers provide little information about item-writing choices. It is typically unexplained, for example, why important repeated terms are selected over synonyms, leaving translators in a lurch. To supplement scale-generic guidance, we specify conditions warranting the creation of scale-specific translation guides and offer a full exemplar guide concerning the Primals Inventory, a new measure of beliefs about the world’s general character (e.g., the world is dangerous) presumed to influence a variety of clinical outcomes. Primals Inventory-specific recommendations include how best to evoke the object of belief (e.g., world versus universe) and lessons learned from initial translation efforts (German and Italian). If this scale-specific guide proves useful, similar guides could be created for other scales, aiding cross-cultural research generally.

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Researchers have begun to explore a category of beliefs called primals which concern the basic character of the world as a whole. After discussing primals' general significance, this chapter recommends the Primals Inventory (PI-99) to those seeking to measure them. The PI-99 was created by the first effort to empirically map all major primals individuals hold. Item generation efforts included, for example, the analysis of 80,677 tweets, the 840 most-frequently used adjectives in modern English, and 385 of the most influential texts in world history. Factor analysis identified 26 latent dimensions, with most variance explained by three main primals-informally called the Big Three-the beliefs that the world is Safe (vs. dangerous), Enticing (vs. dull), and Alive (vs. mechanistic). In validation studies, PI-99 subscales were internally reliable (mean α = .86); stable across time (e.g., mean 19-month test-retest correlation for the Big Three was r (398) = .77); highly correlated with many behavioral patterns and wellbeing outcomes theoretically influenced by primals; and performed better than Big Five personality traits when predicting important variables like interpersonal trust and life satisfaction. This chapter will show how the PI-99 builds on a history of measuring similar beliefs, suggest ways to improve the PI-99, and make recommendations for those seeking to use the PI-99 in their research.
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This article puts forward the case that survey questionnaires, which are a type of measuring instrument, can and should be tested to ensure they meet their purpose. Traditionally survey researchers have been pre-occupied with 'standardising' data collection instruments and procedures such as question wording and have assumed that experience in questionnaire design, coupled with pilot testing of questionnaires, will then ensure valid and reliable results. However, implicit in the notion of standardisation are the assumptions that respondents are able to understand the questions being asked, that questions are understood in the same way by all respondents, and that respondents are willing and able to answer such questions. The development of cognitive question testing methods has provided social researchers with a number of theories and tools to test these assumptions, and to develop better survey instruments and questionnaires. This paper describes some of these theories and tools, and argues that cognitive testing should be a standard part of the development process of any survey instrument.
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