WorldCat Identities

罗敏霞

Overview
Works: 4 works in 6 publications in 1 language and 12 library holdings
Roles: Author
Classifications: QA9,
Publication Timeline
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Most widely held works by 罗敏霞
Fan luo ji xue yu gou li lun by Minxia Luo( Book )

2 editions published in 2010 in Chinese and held by 8 WorldCat member libraries worldwide

Ben shu nei rong ke fen wei si ge bu fen. Di yi bu fen jiang shu fan luo ji xue de zhu yao si xiang yi ji ge yu bu er dai shu de ji ben zhi shi. Di er bu fen jiang shu fan luo ji yun suan mo xing de ji ben xing zhi yi ji ji yu fan yu yun suan mo xing de ji ge mo hu luo ji xi tong. Di san bu fen jiang shu fan luo ji li xiang zhuang tai xia de ming ti yan suan xi tong yi ji ji yu ling ji yun suan mo xing de fan luo ji ming ti yan suan li lun. Di si bu fen jiang shu ji he, Luo ji yu dai shu de san wei yi ti guan xi
Xian xing dai shu( Book )

2 editions published in 2010 in Chinese and held by 2 WorldCat member libraries worldwide

Ben shu bao han le<xian xing dai shu> de chuan tong nei rong:ju zhen, Xian xing fang cheng zu, Xing lie shi, Xiang liang yu xiang liang kong jian, Ju zhen de xiang si dui jiao hua, Er ci xing, Xian xing bian huan he xian xing kong jian. Tong shi, Wei le shi ying ke xue ji shu de fa zhan he du zhe gong zuo, Fa zhan de xu yao, Ben shu ye xie jin le xiang guan de ji suan fang fa he yu yan ji shi yan
Real-Life Language Use Across Different Interlocutors: A Naturalistic Observation Study of Adults Varying in Age by Minxia Luo( )

1 edition published in 2019 in Undetermined and held by 1 WorldCat member library worldwide

Amid the growing interest in studying language use in real life, this study, for the first time, examined age effects on real-life language use, as well as within-person variations across different interlocutors. We examined speech samples collected via the Electronically Activated Recorder (i.e., portable audio recorder that periodically records ambient sounds) for a larger project. This existing dataset included more than 18,000 sound snippets (50-s long) from 53 American couples (breast cancer patients and their spouses; aged 24 to 94 years) in their natural environments. Sound snippets that included participant speech were coded for different interlocutors and given scores on three linguistic measures that are associated with age-related cognitive changes: usage of unique words, usage of uncommon words, and grammatical complexity. Multilevel models showed that there were no age effects on the three linguistic measures when interlocutors were not taken into account. We found that interlocutors influenced usage of unique words and grammatical complexity. More specifically, compared to talking with their spouse, participants used fewer unique words with children and friends; and used simpler grammatical structures with children, strangers, and in multiparty conversations. Next, we found that interlocutors influenced the associations between age and language use. More specifically, young adults used more unique words and more uncommon words with children than older adults. They used more uncommon words with friends and uttered more complex grammatical structures with strangers than older adults. Our results offer preliminary evidence for a new perspective to understand real-life language use: focusing not only on individual characteristics (i.e., age), but also context (i.e., interlocutors). This perspective should be useful to researchers who are interested in collecting "big data" and understanding cognitive activities in real life
Real-Life Language Use Across Different Interlocutors: A Naturalistic Observation Study of Adults Varying in Age by Minxia Luo( )

1 edition published in 2019 in Undetermined and held by 1 WorldCat member library worldwide

Amid the growing interest in studying language use in real life, this study, for the first time, examined age effects on real-life language use, as well as within-person variations across different interlocutors. We examined speech samples collected via the Electronically Activated Recorder (i.e., portable audio recorder that periodically records ambient sounds) for a larger project. This existing dataset included more than 18,000 sound snippets (50-s long) from 53 American couples (breast cancer patients and their spouses; aged 24 to 94 years) in their natural environments. Sound snippets that included participant speech were coded for different interlocutors and given scores on three linguistic measures that are associated with age-related cognitive changes: usage of unique words, usage of uncommon words, and grammatical complexity. Multilevel models showed that there were no age effects on the three linguistic measures when interlocutors were not taken into account. We found that interlocutors influenced usage of unique words and grammatical complexity. More specifically, compared to talking with their spouse, participants used fewer unique words with children and friends; and used simpler grammatical structures with children, strangers, and in multiparty conversations. Next, we found that interlocutors influenced the associations between age and language use. More specifically, young adults used more unique words and more uncommon words with children than older adults. They used more uncommon words with friends and uttered more complex grammatical structures with strangers than older adults. Our results offer preliminary evidence for a new perspective to understand real-life language use: focusing not only on individual characteristics (i.e., age), but also context (i.e., interlocutors). This perspective should be useful to researchers who are interested in collecting "big data" and understanding cognitive activities in real life
 
Audience Level
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Audience Level
1
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Audience level: 0.95 (from 0.94 for Real-Life ... to 0.99 for Real-Life ...)

Alternative Names
罗敏霞

Languages