scholarly journals Regional Social Contexts and Individual Fertility Decisions: A Multilevel Analysis of First and Second Births in Western Germany

Author(s):  
Karsten Hank
2006 ◽  
Vol 14 ◽  
pp. 295-330 ◽  
Author(s):  
Katja Köppen

Energy Policy ◽  
2017 ◽  
Vol 106 ◽  
pp. 345-355 ◽  
Author(s):  
Emily L. Howell ◽  
Nan Li ◽  
Heather Akin ◽  
Dietram A. Scheufele ◽  
Michael A. Xenos ◽  
...  

2017 ◽  
pp. 93
Author(s):  
Andrea Alvarado Urbina ◽  
Camila Jara Ibarra

Resumen:La complejidad que la realidad social presenta dificulta su estudio pues muchas veces nos encontramos frente a fenómenos con estructuras jerárquicas o con distintos niveles de análisis. La emergencia del análisis multinivel busca aumentar la precisión analítica al incluir explícitamente esta complejidad, modelando las relaciones jerárquicas, considerando la dependencia entre observaciones y proporcionando estimaciones sobre la variabilidad y replicabilidad de los parámetros en distintos contextos sociales.Este trabajo busca estimular la reflexión en cuanto al uso, el aporte y la conveniencia del Análisis Multinivel en el ámbito de la investigación social cuantitativa. Para ello, se realiza una descripción de la técnica con sus principales conceptos y aplicaciones, para luego exponer, mediante los resultados de una investigación multinivel, sus conveniencias y usos en términos prácticos.Palabras clave: Análisis Multinivel, Regresión, Regresión Logística Multinivel, Investigación Cuantitativa.Abstract:The complexity of social reality makes it difficult to study as we many times face phenomena with hierarchical structures or multiple levels of analysis. The multilevel analysis intends to increase analytical accuracy by explicitly including such complexity, modelling hierarchical relations, taking into account the dependency of observations, and providing estimations on the variability and the reproducibility of parameters from different social contexts. This work intends to encourage reflections on the use, contribution and advantage of multilevel analysis to quantitativesocial research. It theoretically explores the technique as well as its main concepts and applications, and it presents its practical advantages and uses through the results of a multilevel research.Key Words: multilevel analysis; regression; multilevel logistic regression; quantitative research 


2017 ◽  
pp. 93
Author(s):  
Andrea Alvarado Urbina ◽  
Camila Jara Ibarra

Resumen:La complejidad que la realidad social presenta dificulta su estudio pues muchas veces nos encontramos frente a fenómenos con estructuras jerárquicas o con distintos niveles de análisis. La emergencia del análisis multinivel busca aumentar la precisión analítica al incluir explícitamente esta complejidad, modelando las relaciones jerárquicas, considerando la dependencia entre observaciones y proporcionando estimaciones sobre la variabilidad y replicabilidad de los parámetros en distintos contextos sociales.Este trabajo busca estimular la reflexión en cuanto al uso, el aporte y la conveniencia del Análisis Multinivel en el ámbito de la investigación social cuantitativa. Para ello, se realiza una descripción de la técnica con sus principales conceptos y aplicaciones, para luego exponer, mediante los resultados de una investigación multinivel, sus conveniencias y usos en términos prácticos.Palabras clave: Análisis Multinivel, Regresión, Regresión Logística Multinivel, Investigación Cuantitativa.Abstract:The complexity of social reality makes it difficult to study as we many times face phenomena with hierarchical structures or multiple levels of analysis. The multilevel analysis intends to increase analytical accuracy by explicitly including such complexity, modelling hierarchical relations, taking into account the dependency of observations, and providing estimations on the variability and the reproducibility of parameters from different social contexts. This work intends to encourage reflections on the use, contribution and advantage of multilevel analysis to quantitativesocial research. It theoretically explores the technique as well as its main concepts and applications, and it presents its practical advantages and uses through the results of a multilevel research.Key Words: multilevel analysis; regression; multilevel logistic regression; quantitative research 


2008 ◽  
Vol 17 (3) ◽  
pp. 93-98
Author(s):  
Lynn E. Fox

Abstract Linguistic interaction models suggest that interrelationships arise between structural language components and between structural and pragmatic components when language is used in social contexts. The linguist, David Crystal (1986, 1987), has proposed that these relationships are central, not peripheral, to achieving desired clinical outcomes. For individuals with severe communication challenges, erratic or unpredictable relationships between structural and pragmatic components can result in atypical patterns of interaction between them and members of their social communities, which may create a perception of disablement. This paper presents a case study of a woman with fluent, Wernicke's aphasia that illustrates how attention to patterns of linguistic interaction may enhance AAC intervention for adults with aphasia.


2001 ◽  
Vol 60 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Lucia Savadori ◽  
Eraldo Nicotra ◽  
Rino Rumiati ◽  
Roberto Tamborini

The content and structure of mental representation of economic crises were studied and the flexibility of the structure in different social contexts was tested. Italian and Swiss samples (Total N = 98) were compared with respect to their judgments as to how a series of concrete examples of events representing abstract indicators were relevant symptoms of economic crisis. Mental representations were derived using a cluster procedure. Results showed that the relevance of the indicators varied as a function of national context. The growth of unemployment was judged to be by far the most important symptom of an economic crisis but the Swiss sample judged bankruptcies as more symptomatic than Italians who considered inflation, raw material prices and external accounts to be more relevant. A different clustering structure was found for the two samples: the locations of unemployment and gross domestic production indicators were the main differences in representations.


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