Connected Words
Connected Words

Author: Paul Meara

Publisher: John Benjamins Publishing

Published: 2009-08-25

Total Pages: 194

ISBN-13: 9027289077

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What words come into your head when you think of SUN? For native English speakers, the most common responses are MOON, SHINE and HOT, and about half of all native speaker responses to SUN are covered by these three words. L2 English speakers are much less obliging, and produce patterns of association that are markedly different from those produced by native speakers. Why? What does this tell us about the way L2 speakers' vocabularies grow and develop? This volume provides a user-friendly introduction to a research technique which has the potential to answer some long-standing puzzles about L2 vocabulary. The method is easy to use, even for inexperienced researchers, but it produces immensely rich data, which can be analysed on many different levels. The book explores how word association data can be used to probe the development of vocabulary depth, productive vocabulary skills and lexical organisation in L2 speakers.

Studies in Word-association
Studies in Word-association

Author: Carl Gustav Jung

Publisher:

Published: 1918

Total Pages: 602

ISBN-13:

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This book is a translation of a series of papers on the results of the association method applied to normal and abnormal persons, which appeared in the Journal für Psychologie und Neurologie (vols. III-XVI) and were afterwards collected into two volumes.

Norms of Word Association
Norms of Word Association

Author: Leo Postman

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 476

ISBN-13: 1483268632

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Norms of Word Association contains a heterogeneous collection of word association norms. This book brings together nine sets of association norms that were collected independently at different times during a 15-year period. Each chapter is a self-contained unit. The order in which the norms are presented is arbitrary, although an attempt is made to group together norms that seem to belong together. The 1952 Minnesota norms are presented first, due to "age" and in recognition of the fact that a number of the norms that follow are direct outgrowths of this work. The next three norms in this collection are responses to the Russell-Jenkins stimuli obtained from subjects representing different linguistic communities. A summary of association norms collected from British and Australian subjects are reported along with association norms from German and French college students and French workmen. Four sets of norms that are not directly related to the 1952 Minnesota collection are included. The text will be of interest to historians and researchers in the field of verbal learning and verbal behavior.

Word Association Thematic Analysis
Word Association Thematic Analysis

Author: Michael Thelwall

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 111

ISBN-13: 3031023242

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Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection. The method starts by automatically finding words that are statistically significantly more common in one subset than another, then identifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages. This book explains the word association thematic analysis method, with examples, and gives practical advice for using it. It is primarily intended for social media researchers and students, although the method is applicable to any collection of short texts.

Birkbeck Word Association Norms
Birkbeck Word Association Norms

Author: Helen Moss

Publisher: Psychology Press

Published: 1996

Total Pages: 362

ISBN-13: 9780863774041

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This is a reference work containing free association norms for over 2000 words in the English language collected over the last eight years from groups of 40-50 British English speakers aged between 17 and 45. These norms provide the information that, for example, 67% of people give dog as the first word they think of in response to the word cat, that 24% give the word society in response to the word pillar, and given the name Michael, 65% say Jackson, whereas less than 5% say Heseltine or Caine. These norms will be of use to researchers and students in many fields of psychology, especially language and memory, where the degree of association between pairs of words is often an important experimental variable. The main part of the book contains an alphabetical list of all associative responses and their frequency for each of the 2464 stimulus words. In addition, there is an index of stimulus words organised according to semantic category to aid selection of experimental materials. Full methodological details of the collection and compilation of the data are also provided in the introduction.

French by Association
French by Association

Author: Michael Gruneberg

Publisher: McGraw-Hill Education

Published: 1994-02-01

Total Pages: 0

ISBN-13: 9780844294452

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Introduces a basic French vocabulary and the first principles of French grammar through word-association techniques.

The Oxford Handbook of the Word
The Oxford Handbook of the Word

Author: John R. Taylor

Publisher:

Published: 2015

Total Pages: 897

ISBN-13: 0199641609

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This handbook addresses words in all their multifarious aspects and brings together scholars from every relevant discipline to do so. The many subjects covered include word frequencies; sounds and sound symbolism; the structure of words; taboo words; lexical borrowing; words in dictionaries and thesauri; word origins and change; place and personal names; nicknames; taxonomies; word acquisition and bilingualism; words in the mind; word disorders; and word games, puns, and puzzles. Words are the most basic of all linguistic units, the aspect of language of which everyone is likely to be most conscious. A 'new' word that makes it into the OED is prime news; when baby says its first word its parents reckon it has started to speak; knowing a language is often taken to mean knowing its words; and languages are seen to be related by the similarities between their words. Up to the twentieth century linguistic description was mainly an account of words and all the current subdivisions of linguistics have something to say about them. A notable feature of human languages is the sheer vastness of their word inventories, and scholars and writers have sometimes deliberately increased the richness of their languages by coining or importing new items into their word-hoards. The book presents scholarship and research in a manner that meets the interests of students and professionals and satisfies the curiosity of the educated reader.

Word Association Thematic Analysis
Word Association Thematic Analysis

Author: Mike Thelwall

Publisher: Morgan & Claypool Publishers

Published: 2021-02-02

Total Pages: 131

ISBN-13: 1636390668

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This book explains the word association thematic analysis method, with examples, and gives practical advice for using it. It is primarily intended for social media researchers and students, although the method is applicable to any collection of short texts. Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection. The method starts by automatically finding words that are statistically significantly more common in one subset than another, then identifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages.