Hi all
Probably worth reading David Rose (etc) on this.
https://www.iser.essex.ac.uk/publication/507805
https://www.iser.essex.ac.uk/publications/working-papers/iser/2001-04
https://www.iser.essex.ac.uk/publication/517664
If you want access to resources - you could simply use income (individual or household, equivalised etc using an equivalisation scale)
The socio-economic classification adds dimensions related to autonomy in the working environment. These may be continuous but are different dimensions.
Therefore, self-employed/own account workers at the same income level may have greater autonomy that relates to health/life satisfaction differences.
In other words, it's a research problem whether the classification is ordinal for your research question, rather than something to assume.
Paul
---------------------------------------------------------
Paul Bivand
Associate Director of Analysis and Statistics
Direct Line: 020 7840 8335
Inclusion
3rd floor, 89 Albert Embankment, London SE1 7TP
Tel: 020 7582 7221
Fax: 020 7582 6391
Inclusion website www.cesi.org.uk
See Inclusion's www.indusdelta.org.uk for the latest news and opinions in welfare to work
Consider the environment - do you really need to print this email?
The contents of this e-mail and any attachment(s) are intended solely for the use of the addressee. If you are not the intended recipient please return the e-mail to the sender and delete from your mailbox.
The Centre for Economic & Social Inclusion is a company limited by guarantee. Registered in England & Wales number 2458694. Registered address: 89 Albert Embankment, London SE1 7TP
-----Original Message-----
From: email list for Radical Statistics [mailto:[log in to unmask]] On Behalf Of Naoko Skiada
Sent: 23 November 2012 16:08
To: [log in to unmask]
Subject: Socioeconomic Status - nominal or ordinal scale?
Hello,
I have been looking at the documentation for the Office for National Statistics Socioeconomic Classification (Rebasing the NS-SEC on SOC2010NS-SEC <http://www.ons.gov.uk/ons/guide-method/classifications/current-standard-classifications/soc2010/soc2010-volume-3-ns-sec--rebased-on-soc2010--user-manual/index.html> ). On page 13, para 7.2 it advises that derived socioeconomic classification cannot be regarded as an ordinal scale but should be treated as categorical for purposes of analysis.
I was wondering if anyone could explain why that is. From a conceptual point of view, socioeconomic classification indicates access to resources. I have always assumed that socioeconomic status that is "higher" indicates access to more and more varied resources which is the reason why it is a good predictor of good health or education outcomes amongst others.
I have been looking for some literature on this (or an opposite view) but have so far been unsuccessful.
I wonder if anyone could help.
Thank you. ****************************************************** Please note that if you press the 'Reply' button your message will go only to the sender of this message. If you want to reply to the whole list, use your mailer's 'Reply-to-All' button to send your message automatically to [log in to unmask] Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk. *******************************************************
******************************************************
Please note that if you press the 'Reply' button your
message will go only to the sender of this message.
If you want to reply to the whole list, use your mailer's
'Reply-to-All' button to send your message automatically
to [log in to unmask]
Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk.
*******************************************************
|