Influence of Social Background on Mathematical Modelling—The DiMo+ Project

2021 ◽  
pp. 93-102
Author(s):  
Ilja Ay ◽  
Friederike Ostkirchen
Keyword(s):  
Mathematical Modelling ◽  
Social Background

The Social Origins and Provenance of the English Bishops during the Reign of Edward II

1959 ◽  
Vol 9 ◽  
pp. 51-79
Author(s):  
K. Edwards
Keyword(s):  
Middle Ages ◽  
Social Background ◽  
Early Career ◽  
The Political ◽  
Social Origins ◽  
Political Activities ◽  
Edward Ii ◽  
The Social ◽  
Complete Study ◽  
History Of

During the last twenty or twenty-five years medieval historians have been much interested in the composition of the English episcopate. A number of studies of it have been published on periods ranging from the eleventh to the fifteenth and early sixteenth centuries. A further paper might well seem superfluous. My reason for offering one is that most previous writers have concentrated on analysing the professional circles from which the bishops were drawn, and suggesting the influences which their early careers as royal clerks, university masters and students, secular or regular clergy, may have had on their later work as bishops. They have shown comparatively little interest in their social background and provenance, except for those bishops who belonged to magnate families. Some years ago, when working on the political activities of Edward II's bishops, it seemed to me that social origins, family connexions and provenance might in a number of cases have had at least as much influence on a bishop's attitude to politics as his early career. I there fore collected information about the origins and provenance of these bishops. I now think that a rather more careful and complete study of this subject might throw further light not only on the political history of the reign, but on other problems connected with the character and work of the English episcopate. There is a general impression that in England in the later middle ages the bishops' ties with their dioceses were becoming less close, and that they were normally spending less time in diocesan work than their predecessors in the thirteenth century.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Mathematical modelling of compatibility of normative and criteria evaluations

2012 ◽  
Author(s):  
Aleksandras Krylovas ◽  
Natalja Kosareva ◽  
Olga Navickiene
Keyword(s):  
Mathematical Modelling

In vivo Analysis of Murine Pneumococcal Pneumonia for Mathematical Modelling of Community Aquired Pneumonia

Pneumologie ◽  
2017 ◽  
Vol 71 (S 01) ◽  
pp. S1-S125
Author(s):  
S Berger ◽  
C Gökeri ◽  
U Behrendt ◽  
SM Wienhold ◽  
J Lienau ◽  
...  
Keyword(s):  
Mathematical Modelling ◽  
Pneumococcal Pneumonia ◽  
In Vivo Analysis ◽  
Community Aquired Pneumonia

Mathematical modelling in education and culture

2003 ◽  
Author(s):  
Qi-Xiao Ye ◽  
Werner Blum ◽  
Ken Houston ◽  
Qi-Yuan Jiang
Keyword(s):  
Mathematical Modelling

Similarities and differences in the social background of female medical, nursing and health visitor students

2008 ◽  
Vol 149 (24) ◽  
pp. 1137-1142 ◽  
Author(s):  
Helga Judit Feith ◽  
Zsuzsanna Soósné Kiss ◽  
Ágnes Kovácsné Tóth ◽  
Péter Balázs
Keyword(s):  
Social Background ◽  
Health Visitor ◽  
The Social ◽  
Similarities And Differences

Ismereteink szerint ez idáig nem történt olyan átfogó vizsgálat Magyarországon, amely egészségügyi felsőoktatásban tanuló hallgatók szociokulturális hátterét vizsgálta volna. Célkitűzés: Keresztmetszeti kutatásunk fő célkitűzése az volt, hogy megismerjük és elemezzük a leendő orvosnők, diplomás ápolónők és védőnők társadalmi hátterében megmutatkozó különbségeket. Módszer: Jelen kutatásunk orvostanhallgató-nők, valamint egészségügyi főiskolai karon tanuló hallgatónők között készült, a Semmelweis Egyetemen. Összesen 295 hallgatónőt vontunk be a kutatásba, értékelhető választ adott 68,08% ( n = 201). Az eredményeket az SPSS programcsomag segítségével elemeztük, leíró statisztikai megközelítésben. Eredmények: A felmérésben részt vevő hallgatónők számos szociodemográfiai jellemzőjében meghatározó különbséget tapasztaltunk. Az orvostanhallgató-nők nagyobb hányada diplomás szülők gyermeke, ugyanakkor a főiskolai szintű képzésben részt vevő hallgatónők esetében ennek jóval kisebb az esélye. Nem találtunk ugyan statisztikailag alátámasztható különbséget a három hallgatói csoport családi állapotában, de megállapítható, hogy kevesebb diplomásápoló-hallgatónő volt férjezett, illetve élt élettársi kapcsolatban. Következtetések: A főiskolai hallgatónők, valamint az orvostanhallgatók szociokulturális hátterében megmutatkozó különbségek, az ebből következő társadalmi hátrányok nagyobb mértékben sújtják az ápoló- és védőnőhallgatókat, mint az orvostanhallgató-nőket.

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