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| Language Attitude Survey× | Семантичен диференциал× | |
|---|---|---|
| Област≠ | Лингвистика | Психология |
| Семейство≠ | Process / pipeline | Hypothesis test |
| Година на възникване≠ | 1992 | 1957 |
| Създател≠ | Survey methodologists and attitude researchers (e.g., A. N. Oppenheim; Colin Baker; Peter Garrett) | Charles Osgood, George Suci, and Percy Tannenbaum |
| Тип≠ | Direct self-report survey measure of language attitudes | Bipolar attitude measure |
| Основополагащ източник≠ | Garrett, P. (2010). Attitudes to Language. Cambridge University Press. ISBN: 9780521759175 | Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. University of Illinois Press. link ↗ |
| Други названия≠ | Language Attitude Questionnaire, Direct Attitude Measurement, Language Attitudes Survey | SD Scale, Semantic Space Measurement |
| Свързани≠ | 4 | 1 |
| Резюме≠ | A direct language attitude survey measures what people think and feel about languages, dialects, and varieties by asking them explicitly. Using questionnaires built from Likert scales, semantic-differential items, and open-ended questions, the direct approach gathers respondents' self-reported evaluations of varieties — their prestige, beauty, usefulness, or appropriateness — and analyses these responses for reliability, underlying structure, and differences between social groups. It is the self-report counterpart to indirect techniques such as the matched-guise test, trading some protection against socially desirable answers for transparency, scale, and ease of administration. | The Semantic Differential is an attitude measurement technique that assesses the connotative meaning (emotional and evaluative associations) of concepts through ratings on multiple bipolar adjective scales. Developed by Osgood, Suci, and Tannenbaum in the 1950s, the method reveals the affective structure underlying how people perceive concepts—revealing not just what they think, but how they feel about people, brands, ideas, or policies. |
| ScholarGateНабор от данни ↗ |
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