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1
Gender-fair language and implicit gender stereotypes ...
Fatfouta, Ramzi. - : Open Science Framework, 2021
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2
The relationship between implicit associations and the social priming of speech ...
McLaughlin, Drew. - : Open Science Framework, 2021
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3
Evaluating Predictors of Foreign Language Learning
In: DTIC (2011)
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4
Measuring implicit and explicit attitudes toward foreign-accented speech
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5
Recent Developments in USAF Officer Testing and Selection
In: DTIC (2004)
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6
Analysis of Russian and Spanish Subskill Testing at the Defense Language Institute.
In: DTIC AND NTIS (1996)
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7
Subject-Based Evaluation Measures for Interactive Spoken Language Systems
In: DTIC (1992)
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8
Reasoning and Comprehension Processes of Linguistic Minority Persons Learning from Text
In: DTIC AND NTIS (1989)
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9
Evaluation of English Language Needs, Preparation, and Screening Among Non-Native English Speaking Officers and Soldiers
In: DTIC AND NTIS (1988)
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10
Development and Psychometric Testing of the Strategy Inventory for Language Learning (SILL). Appendix
In: DTIC AND NTIS (1986)
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11
Development and Psychometric Testing of the Strategy Inventory for Language Learning (SILL)
In: DTIC AND NTIS (1986)
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12
Cognitive Science Program. Consequences of a Phonological Coding Deficit on Sentence Processing.
In: DTIC AND NTIS (1985)
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13
English Diagnostic Test: Validation for Journalism-Related Programs.
In: DTIC AND NTIS (1985)
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14
The Role of Word Difficulty and Sentence Length in Text Comprehension.
In: DTIC AND NTIS (1982)
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15
Trait and Process Aspects of Vocabulary Knowledge and Verbal Ability.
In: DTIC AND NTIS (1981)
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16
How an Unfamiliar Thing Should Be Called
In: DTIC AND NTIS (1981)
Abstract: An empirical method is described to derive good names for unfamiliar objects. Three principles were used in deriving the names: (1) The vocabulary and structure of the names should be within the user's linguistic capacities; (2) The names should be informationally efficient, namely, short, but at the same time unique; and (3) The names should form a classification system. For example, most names have a generic term and one or more modifiers. These principles lead to the following design for creating good names: Step 1; Names are generated by a group of subjects. Step 2: From the names generated by subjects, the experimenter chooses a subset of the names according to the following criteria: (a) the modal name is chosen, namely, if a particular name is generated more often than others, it is chosen; (b) shorter names are preferred; (c) names chosen stay within the classification system provided by the subjects. Step 3: How good the names are is tested by measuring (1) how well people can match the names with the objects they describe; and (2) how well they can recall the names, given the physical objects. Steps 2 and 3 can be iterated; namely, if a given name is poorly matched or recalled, it can be replaced by another generated name and tested again. The method results in names that form a classification system and that are natural, short, well matched with their physical referents and well recalled.
Keyword: *PSYCHOLINGUISTICS; *WORDS(LANGUAGE); ALLOCATIONS; Bionics; CLASSIFICATION; Cognition; ITERATIONS; Linguistics; MATCHING; MENTAL ABILITY; Nomenclature; PARTS; PATTERN RECOGNITION; PATTERNS; Psychology; RECALL; SHAPE; Terminology; TEST CONSTRUCTION(PSYCHOLOGY); Unfamiliar objects; VOCABULARY; WUNR157422
URL: http://www.dtic.mil/docs/citations/ADA109179
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA109179
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17
Shortening of Defense Language Aptitude Battery
In: DTIC AND NTIS (1981)
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18
Applications of Item Response Theory to Analysis of Attitude Scale Translations.
In: DTIC AND NTIS (1980)
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19
The Cloze Test as a Procedure for Establishing Objective German Prose Readability Standards.
In: DTIC AND NTIS (1978)
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20
The Structure and Recall of Narrative Prose
In: DTIC AND NTIS (1975)
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