The social meaning of a merger: The evaluation of an Andalusian Spanish consonant merger (ceceo)

2021 ◽  
pp. 1-30
Author(s):  
Brendan Regan
Keyword(s):  
Linear Regression ◽  
Social Status ◽  
Regression Models ◽  
Language Attitudes ◽  
Spontaneous Speech ◽  
Mixed Effects ◽  
Social Meaning ◽  
Linear Regression Models ◽  
Social Evaluation ◽  
The Social

Abstract This study analyzes the social evaluations of the Andalusian Spanish ceceo merger and its split, distinción. A matched-guise experiment was created by digitally manipulating spontaneous speech from twelve Western Andalusian speakers, varying only in syllable-initial [s̪] and [θ] for <s> and <z,ci,ce>, creating ceceo and distinción guises. Based on 221 listeners from Huelva and Lepe, Spain, mixed effects linear regression models found that speakers with distinción guises were evaluated as being of higher social status, more urban, and more formal than speakers with ceceo guises. Additionally, listeners' comments referred not only to the sounds and graphemes, but also to the merger itself and its social connotations. The implications are two-fold: (i) consonant mergers may be subject to more overt social evaluation than vocalic mergers; and (ii) a merger can acquire social meaning, and this meaning in turn, may promote its split. (Mergers, splits, sociolinguistic perception, language attitudes, Andalusian Spanish, sociophonetics, dialect levelling, ceceo, distinción)*

scholarly journals Factors associated with parasite dominance in fishes from Brazil

2016 ◽  
Vol 25 (2) ◽  
pp. 225-230
Author(s):  
Cristina Fernandes do Amarante ◽  
Wagner de Souza Tassinari ◽  
Jose Luis Luque ◽  
Maria Julia Salim Pereira
Keyword(s):  
Linear Regression ◽  
Body Length ◽  
Regression Models ◽  
Mixed Model ◽  
Multiple Linear Regression Model ◽  
Mixed Effects ◽  
The Body ◽  
Linear Regression Models ◽  
Biological Aspects ◽  
The Relationship

Abstract The present study used regression models to evaluate the existence of factors that may influence the numerical parasite dominance with an epidemiological approximation. A database including 3,746 fish specimens and their respective parasites were used to evaluate the relationship between parasite dominance and biotic characteristics inherent to the studied hosts and the parasite taxa. Multivariate, classical, and mixed effects linear regression models were fitted. The calculations were performed using R software (95% CI). In the fitting of the classical multiple linear regression model, freshwater and planktivorous fish species and body length, as well as the species of the taxa Trematoda, Monogenea, and Hirudinea, were associated with parasite dominance. However, the fitting of the mixed effects model showed that the body length of the host and the species of the taxa Nematoda, Trematoda, Monogenea, Hirudinea, and Crustacea were significantly associated with parasite dominance. Studies that consider specific biological aspects of the hosts and parasites should expand the knowledge regarding factors that influence the numerical dominance of fish in Brazil. The use of a mixed model shows, once again, the importance of the appropriate use of a model correlated with the characteristics of the data to obtain consistent results.

scholarly journals Specifics of logit and probit regression in education sciences - why wouldn't we use it?

2020 ◽  
Vol 15 (6) ◽  
pp. 1557-1568
Author(s):  
Sinisa Opic
Keyword(s):  
Social Sciences ◽  
Linear Regression ◽  
Comparative Research ◽  
Regression Models ◽  
Linear Regression Models ◽  
Probit Regression ◽  
Regression Methods ◽  
Logit Regression ◽  
The Social ◽  
Keywords Education

Regression is one of the dominant analysis methods used in the social sciences and educational sciences. There are different regression methods based on the type of research that is being conducted. The probit and logit regression models are regression methods which are being used recently by most researchers. However, their interpretations are not straightfoward and most researchers end up misinterepreting the results from the probit and logit regression models. This research therefore aims to examine the differences between the probit and logit models, in comparison with other linear regression models. Using a comparative research design, this study utilises resources from previous researchers, hence, the study took a form of a literature review. The results of this study is essential to educational and social sciences researchers who make use of the probit, logit and other regression methods. The research also explains why logit and probit should be used in place of other regression models.   Keywords: education sciences; Linear regression; Logit; Probit; Regression

Intra-regional differences in the social perception of allophonic variation: The evaluation of [tʃ] and [ʃ] in Huelva and Lepe (Western Andalucía)

2020 ◽  
Vol 8 (2) ◽  
pp. 82-101
Author(s):  
Brendan Regan
Keyword(s):  
Regional Differences ◽  
Regression Models ◽  
Language Attitudes ◽  
Social Perceptions ◽  
Linear Regression Models ◽  
Allophonic Variation ◽  
The Social ◽  
Disyllabic Words ◽  
The City ◽  
The Town

AbstractThis study examines the social perceptions of the traditional Andalusian feature [ʃ] and the Castilian feature [tʃ] in the city of Huelva and the town of Lepe in Western Andalucía, Spain. A matched-guise experiment was created by digitally manipulating spontaneous speech from twelve Western Andalusian speakers, varying only in word-medial syllable-initial [tʃ] and [ʃ] for <ch> in disyllabic words. Based on 221 listeners from Huelva and Lepe, mixed effects linear regression models indicate that listeners evaluated speakers with [tʃ] guises as being of higher status, more cosmopolitan, and less friendly than speakers with [ʃ] guises. These findings interacted with speaker and listener gender, listener educational level, and listener origin. The implications are twofold: the traditional Andalusian feature is evaluated as less overtly prestigious than the supra-local Castilian feature; and, that two nearby communities of the same dialect variety may share similar language attitudes, but demonstrate nuanced differences in attitudes due to their unique historical and socioeconomic developments.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

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