The Implicit Achievement Motive in the Writing Style

Gruber, Nicole

doi:10.1007/s10936-022-09891-7

Cited by 1 publication

(1 citation statement)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zeng and Greenfield used the Google Ngram Viewer to calculate changing frequencies of certain key words to study the implications of social and political changes on cultural values in China over the last 40 years ( Zeng and Greenfield, 2015 ). Duran and Gruber uses LIWC (Linguistic Inquiry and Word Count) to study the deception of language ( Duran et al, 2010 ), and the implicit achievement motivation of words ( Gruber, 2022 ). Hu et al (2021) used CC-LIWC (LIWC for Classical Chinese) to calculate the frequencies of “Ren” and “Li” in SikuQuanshu to investigate the changes of Confucian culture across 2000 years.…”

Section: Introductionmentioning

confidence: 99%

Exploring the impact of mass migration in Jin Dynasty by psycholinguistic analysis on Classical Chinese legacy text

Xiong

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

The first mass migration in China took place at the end of the Western Jin, which resulted in the southward transfer of the Central Plains Culture and brought about huge social changes. Such social changes exerted significant impacts on the gentry of the Jin Dynasty. This paper used a huge volume of Classical Chinese legacy text of Jin gentry members. We used CC-LIWC to calculate frequencies of different word categories used in these text contents and conducted an analysis of variance to measure significant differences between the three groups. We found 16 categories of words with significant differences and calculated their effect sizes, such as tense markers (tensem), F = 3.588, P < 0.05, η2 = 0.034; modal particles (modal_pa), F = 3.468, P < 0.05, η2 = 0.053; words for affective processes (affect), F = 3.096, P < 0.05, η2 = 0.028; words for cognitive processes (cogproc), F = 3.308, P < 0.05, η2 = 0.031; words for perceptual processes (percept), F = 7.137, P < 0.05, η2 = 0.06. Combining the psycholinguistics of the 16 categories of words and researches of historians on the Jin Dynasty, we then analyzed the direct and indirect, immediate and long-lasting psycholinguistic impacts of this mass migration on the gentry themselves and their descendants.

show abstract

Section: Introductionmentioning

confidence: 99%

Exploring the impact of mass migration in Jin Dynasty by psycholinguistic analysis on Classical Chinese legacy text

Xiong

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

The Implicit Achievement Motive in the Writing Style

Cited by 1 publication

References 49 publications

Exploring the impact of mass migration in Jin Dynasty by psycholinguistic analysis on Classical Chinese legacy text

Exploring the impact of mass migration in Jin Dynasty by psycholinguistic analysis on Classical Chinese legacy text

Contact Info

Product

Resources

About