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Reliability of position generator measures across different occupational lists: a parallel-test experiment

Pieter-Paul Verhaeghe UGent, Bart Van de Putte UGent and Henk Roose UGent (2013) FIELD METHODS. 25(3). p.238-261
abstract
The position generator is a widely used research tool to measure individual social capital. Although the position generator is said to be reliable, there are only a few broad guidelines to construct the instrument and there is no standard list of occupational items. Furthermore, the reliability of the position generator across different occupational lists has not yet been tested. This paper examines the reliabilities of 13 position generator measures across different occupational lists by means of a parallel-test experiment. We found that only the volume-measure has a good reliability. Reliabilities of the social class-based position generator measures are fair to good and reliabilities of the occupational prestige/status-based position generator measures are poor. Exactly these latter types of measures are most often used.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
social capital, reliability, position generator, SOCIAL NETWORKS, parallel test experiment
journal title
FIELD METHODS
volume
25
issue
3
pages
238 - 261
Web of Science type
Article
Web of Science id
000321898700002
JCR category
SOCIAL SCIENCES, INTERDISCIPLINARY
JCR impact factor
0.875 (2013)
JCR rank
34/93 (2013)
JCR quartile
2 (2013)
ISSN
1525-822X
DOI
10.1177/1525822X12453227
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
2048209
handle
http://hdl.handle.net/1854/LU-2048209
date created
2012-02-28 10:25:34
date last changed
2015-06-17 09:58:27
@article{2048209,
  abstract     = {The position generator is a widely used research tool to measure individual social capital. Although the position generator is said to be reliable, there are only a few broad guidelines to construct the instrument and there is no standard list of occupational items. Furthermore, the reliability of the position generator across different occupational lists has not yet been tested. This paper examines the reliabilities of 13 position generator measures across different occupational lists by means of a parallel-test experiment. We found that only the volume-measure has a good reliability. Reliabilities of the social class-based position generator measures are fair to good and reliabilities of the occupational prestige/status-based position generator measures are poor. Exactly these latter types of measures are most often used.},
  author       = {Verhaeghe, Pieter-Paul and Van de Putte, Bart and Roose, Henk},
  issn         = {1525-822X},
  journal      = {FIELD METHODS},
  keyword      = {social capital,reliability,position generator,SOCIAL NETWORKS,parallel test experiment},
  language     = {eng},
  number       = {3},
  pages        = {238--261},
  title        = {Reliability of position generator measures across different occupational lists: a parallel-test experiment},
  url          = {http://dx.doi.org/10.1177/1525822X12453227},
  volume       = {25},
  year         = {2013},
}

Chicago
Verhaeghe, Pieter-Paul, Bart Van de Putte, and Henk Roose. 2013. “Reliability of Position Generator Measures Across Different Occupational Lists: a Parallel-test Experiment.” Field Methods 25 (3): 238–261.
APA
Verhaeghe, P.-P., Van de Putte, B., & Roose, H. (2013). Reliability of position generator measures across different occupational lists: a parallel-test experiment. FIELD METHODS, 25(3), 238–261.
Vancouver
1.
Verhaeghe P-P, Van de Putte B, Roose H. Reliability of position generator measures across different occupational lists: a parallel-test experiment. FIELD METHODS. 2013;25(3):238–61.
MLA
Verhaeghe, Pieter-Paul, Bart Van de Putte, and Henk Roose. “Reliability of Position Generator Measures Across Different Occupational Lists: a Parallel-test Experiment.” FIELD METHODS 25.3 (2013): 238–261. Print.