That-variation in German and Spanish L2 English

2014 ◽  
Vol 6 (2) ◽  
pp. 271-299 ◽  
Author(s):  
STEFANIE WULFF ◽  
NICHOLAS LESTER ◽  
MARIA T. MARTINEZ-GARCIA
Keyword(s):  
Logistic Regression ◽  
Second Language ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Native Speakers ◽  
Related Factors ◽  
Cue Validity ◽  
L2 Learners ◽  
Complement Clauses

abstractIn certain English finite complement clauses, inclusion of the complementizer that is optional. Previous research has identified various factors that influence when native speakers tend to produce or omit the complementizer, including syntactic weight, clause juncture constraints, and predicate frequency. The present study addresses the question to what extent German and Spanish learners of English as a second language (L2) produce and omit the complementizer under similar conditions. 3,622 instances of English adjectival, object, and subject complement constructions were retrieved from the International Corpus of English and the German and Spanish components of the International Corpus of Learner English. A logistic regression model suggests that L2 learners’ and natives’ production is largely governed by the same factors. However, in comparison with native speakers, L2 learners display a lower rate of complementizer omission. They are more impacted by processing-related factors such as complexity and clause juncture, and less sensitive to verb-construction cue validity.

scholarly journals Non-participation modestly increased with distance to the examination clinic among adults in Finnish health examination surveys

2017 ◽  
Vol 46 (7) ◽  
pp. 752-754
Author(s):  
Jaakko Reinikainen ◽  
Perttu Saarsalmi ◽  
Tommi Härkänen ◽  
Pekka Jousilahti ◽  
Juha Karvanen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Population Health ◽  
Logistic Regression Model ◽  
Additional Analysis ◽  
Health Examination ◽  
Participation Rates ◽  
Related Factors ◽  
Health Related ◽  
At Home

Aims: Health examination surveys (HES) provide important information about population health and health-related factors, but declining participation rates threaten the representativeness of collected data. It is hard to conduct national HESs at examination clinics near to every sampled individual. Thus, it is interesting to look into the possible association between the distance from home to the examination clinic and non-participation, and whether there is a certain distance after which the participation activity decreases considerably. Methods: Data from two national HESs conducted in Finland in 2011 and 2012 were used and a logistic regression model was fitted to investigate how distance was related to non-participation. Results: We found out that non-participation modestly increased with distance to the examination clinic. An additional analysis indicated that the option of having an examination at home may decrease the effect of distance to participation. Conclusions: Long distances from home to the examination clinic are one reason for low participation activity. Possible bias caused by these differences in participation could be decreased by providing the option of a home examination.

scholarly journals Evaluation of Workload and Human Errors in Nurses

2019 ◽  
Author(s):  
Mahshid Naseri Karimvand ◽  
Naser Hasheminejad ◽  
Ali Faghihi Zarandi ◽  
Yones Jahani
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Human Error ◽  
Logistic Regression Model ◽  
Control Strategies ◽  
Statistical Significance ◽  
Medical Sciences ◽  
Related Factors ◽  
Human Errors ◽  
Significance Level

Background: Identification of human errors and their related factors in nurses dealing with the health of humans is important. Considering that much workload can increase the risk of human error, this study aimed to investigate the relationship between workload and human errors among nurses working in educational hospitals of Kerman University of Medical Sciences. Methods: This descriptive-analytical study was performed on 145 nurses from educational hospitals affiliated to Kerman University of Medical Sciences in 20. The workload was evaluated using the NASA-TLX questionnaire and human errors with SHERPA technique. The statistical test used was logistic regression model and the statistical significance level was considered <0.05 and the samples were selected randomly. The sample size was selected based on the percentage of functional errors reported by a study on human error assessment related to the duties of nurses in Semnan. Results: A total of 138 probable errors were detected in the nursing staff of these hospitals, 74% of nurses committed errors in seven main duties during their service. Patient medication with the highest frequency (34%) followed by the injection of the drug to the patient with a frequency of 23% were the most frequently committed errors by nurses. The findings of the research showed that workload in 53.1% of the nurses was very high and in 43.1% of the nurses was high, the results of the logistic regression model showed that there was no significant relationship between errors and workload in nurses. Conclusion: The results of the study showed that the average workload and human error in the nurses were high. Therefore, control strategies such as holding training sessions, implementation of clinical governance program in all wards, recruitment of adequate nurses, reduction of workload, reduction of work hours and the appropriate patient/nurse ratio should be given attention by the hospital managers depending on conditions; as well as the prevention of the two reported errors should be given top priority in corrective measures.

scholarly journals Analysis of comparable academic performance: panel logistic regression model

2010 ◽  
Vol 51 ◽  
Author(s):  
Marijus Radavičius ◽  
Pavel Samusenko
Keyword(s):  
Logistic Regression ◽  
Academic Performance ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Conditional Logistic Regression ◽  
Related Factors ◽  
Conditional Logistic Regression Model ◽  
Student Academic Performance

Conditional logistic regression model is fitted to data of student academic performance. This enables one to compare difficulties of different examinations and to identify related factors.

scholarly journals The Current Status of Health Promotion Lifestyle and Its Related Factors in Chinese Residents

2021 ◽  
Author(s):  
Qianqian Liu ◽  
Shusheng Huang ◽  
Xiaoyuan Qu ◽  
Aitian Yin
Keyword(s):  
Health Promotion ◽  
Logistic Regression ◽  
Regression Model ◽  
Behavioral Intention ◽  
Logistic Regression Model ◽  
Pearson Correlation ◽  
Current Status ◽  
Related Factors ◽  
Affective Factors ◽  
Factors Influencing

Abstract Objectives: This study aimed to explore the current status of Chinese residents' health promotion lifestyle and its influencing factors, especially explore how health attitudes affect health promotion lifestyle, thus can make targeted recommendations for health promotion in China and similar areas.Study design: This study was based on a household survey of 1769 adults aged 18 and over from Shandong Province of China conducted in 2018.Methods: A cross-sectional, face-to-face survey design was used. The between-group measured data were compared by One-way ANOVA or t-tests. The correlation between the health attitude and health promotion lifestyle was examined by Pearson correlation. Logistic regression model was used to examine the related factors influencing Chinese residents’ health promotion lifestyle.Results: The health promotion lifestyle of residents in Chinese residents was not good. Significant differences existed in health promotion lifestyle among different genders, education levels, income levels, marital status, and health attitude (Ps <0.001). Multivariable Logistic regression model found that gender, education level, annual family per capita income, affection and behavioral intention in health attitude were key factors influencing Chinese residents’ health promotion lifestyle (Ps<0.001). Conclusions: Individual health responsibilities need to be further strengthened. More affective factors and operable measures should be added to enhance health affection and health behavioral intention, so as to enhance health promotion lifestyle.

scholarly journals Are corpus-based predictions mirrored in the preferential choices and ratings of native speakers? Predicting the alternation between the Estonian adessive case and the adposition peal ‘on’

2017 ◽  
Vol 8 (2) ◽  
pp. 59-91 ◽  
Author(s):  
Jane Klavan ◽  
Ann Veismann
Keyword(s):  
Experimental Data ◽  
Logistic Regression ◽  
Statistical Model ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Native Speakers ◽  
Experimental Studies ◽  
Choice Task ◽  
Forced Choice Task ◽  
Corpus Data

Recent work in usage-based linguistics stresses the importance of combining corpus-based analyses with experimental studies. A number of studies have compared the performance of a corpus-based statistical model against the behaviour of native speakers in a linguistic experiment. The present paper takes this line of analysis further by combining corpus-based work with two sources of experimental data. A mixedeffects logistic regression model is fitted to the corpus data of the Estonian adessive case and the adposition peal ‘on’ in present-day written Estonian. In order to evaluate the goodness of the corpus-based model, its performance is compared to the behaviour of native speakers in a forced choice task and a rating task.Kokkuvõte. Jane Klavan ja Ann Veismann: Kas keelekasutajate valikud ja hinnangud peegeldavad korpuspõhiseid tõenäosushinnanguid? Eesti keele adessiivi ja kaassõna peal kasutus tänapäeva kirjakeeles. Tänapäevases kasutuspõhises keeleteaduses rõhutatakse vajadust kombineerida korpusandmetele toetuvat analüüsi katseliste uuringutega. Mitmed uurimused on võrrelnud korpusel põhineva statistilise mudeli headust emakeelsete kõnelejate käitumisega keelelistes katsetes. Käesolev artikkel jätkab seda uurimisliini, pannes võrdlusesse korpusandmetega kaks keelelist katset. Artiklis hinnatakse korpuspõhise segamudeli headust, võrreldes seda eesti keelt emakeelena kõnelejate käitumisega sunnitud valiku katses ja hinnangukatses. Uuritavaks nähtuseks on eesti keele adessiivi ja kaassõna peal rööpne kasutus kohasuhete väljendamisel tänapäeva kirjakeeles.Võtmesõnad: konstruktsioonilised alternatsioonid; korpuslingvistika; sunnitud valiku katse; hinnangukatse; statistiline mudeldamine; eesti keel

The genitive alternation in Chinese and German ESL learners

2013 ◽  
Vol 18 (3) ◽  
pp. 327-356 ◽  
Author(s):  
Stefan Th. Gries ◽  
Stefanie Wulff
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Native Speakers ◽  
Related Factors ◽  
Semantic Constraints ◽  
Learner Corpus ◽  
Corpus Data ◽  
Definition Of ◽  
Multifactorial Approach ◽  
Esl Learners

This paper exemplifies an approach to learner corpus data that adopts a multifactorial definition of ‘context’. We apply a logistic regression to 2,986 attestations of genitive alternation (the squirrel’s nest vs. the nest of the squirrel) from the Chinese and German sub-sections of the International Corpus of Learner English and the British component of the International Corpus of English that were coded for 12 factors. Importantly, the speakers’ L1 was included as a predictor to be able to compare properly the native speakers with the learners as well as the two learner groups with each other. The final regression model predicts all speakers’ genitive choices very accurately (> 93%) and suggests that (i) the learners rely heavily on processing-related factors, which can be overridden by semantic constraints, and (ii) learners’ choices are differentially modulated by their L1. We close with a discussion of how this context-based, multifactorial approach goes beyond traditional learner corpus research.

scholarly journals The Prevalence of Glaucoma and Its Related Factors in Rural Residents: A Cross-Sectional Study in Jiangxi, China

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Xiaojun Zhou ◽  
Qin Zhu ◽  
Jinglin Yi ◽  
Jiajunni Li ◽  
Qi Li ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Alcohol Consumption ◽  
Physical Exercise ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Vegetable Consumption ◽  
Jiangxi Province ◽  
Cluster Sampling ◽  
Rural Residents ◽  
Related Factors

Background. This study aims to investigate the prevalence of glaucoma and its related factors among residents aged 40 and over in Jiangxi Province, China, and provide a scientific basis for the prevention and control of glaucoma. Methods. The cluster sampling method was used to randomly select six townships. Similarly, eight villages were randomly selected from each sample township. A total of 5385 rural residents from 48 villages were collected for a questionnaire survey. A logistic regression model was used to explore the personal behavioral factors related to glaucoma. Results. Among the 5385 participants, the prevalence rate of glaucoma was 1.4%. The logistic regression model found that alcohol consumption, vegetable consumption, physical exercise, daily reading time, and frequent reading environment were related to glaucoma. Conclusion. To prevent the occurrence of glaucoma, it is important for rural residents to reduce the frequency of alcohol consumption, increase the frequency of vegetable consumption and physical exercise, control the length of daily reading, and read in a moderately lit environment.

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