Revue Quetelet

N° 2, vol. 2, 2014

The Quetelet Journal is a thematic journal of the Centre for Demographic Research (DEMO) that is part of the Institute for the Analysis of Change in Contemporary and Historical Societies (IACCHOS) of the Université catholique de... Read More

The Quetelet Journal is a thematic journal of the Centre for Demographic Research (DEMO) that is part of the Institute for the Analysis of Change in Contemporary and Historical Societies (IACCHOS) of the Université catholique de Louvain. The journal publishes articles presented at the annual international Quetelet Seminar. Some issues also include miscellaneous articles and articles devoted to the population of Belgium.


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Specifications


Publisher
Presses universitaires de Louvain
Collection
Revue Quetelet
ISSN
20349378
Language
French
Supporting Website
Publisher’s website for a specified work
BISAC Subject Heading
SOC006000 SOCIAL SCIENCE / Demography
Onix Audience Codes
06 Professional and scholarly
CLIL (Version 2013-2019)
3081 Sciences sociales
Title First Published
22 September 2016

Livre broché


Publication Date
15 January 2020
ISBN-13
9782875588500
Extent
Main content page count : 328
Code
99402
List Price
41.50 €
ONIX XML
Version 2.1, Version 3

PDF


Publication Date
15 January 2020
ISBN-13
9782875588517
Extent
Main content page count : 328
Code
99402PDF
ONIX XML
Version 2.1, Version 3

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Contents


Allan Hill
Reliability, validity and responsiveness
of the short form-36 health survey:
Findings from the women's
health study of Accra, Ghana
7
Daniel Courgeau
Jakub Bijak
Robert Franck
Eric Silverman
Are the four Baconian idols still alive
in demography?
31
Clémentine Rossier
Abdramane Bassiahi Soura
Géraldine Duthé
Bruno Lankoandé
Roch Millogro
Are the urban poor really worse off?
Socioeconomic differentials in adult
cause specific mortality at the periphery
of Ouagadougou, Burkina Faso
61
Hannelore De Grande
Hadewijch Vandenheede
Patrick Deboosere
Data inventory of health inequalities
among adolescents and young adults
in the Brussels-Capital Region
81
Ann Kiragu Maternal morbidity in Kenya: Measurement,
contributions and limitations
of DHS data