Re: How to code hazards across house rooms

Posted by Martha Hewett on Feb 08, 2013; 3:15pm
URL: http://spssx-discussion.165.s1.nabble.com/How-to-code-hazards-across-house-rooms-tp5717973p5717990.html

I like the percentage idea.  What I keep thinking about is that if a person doesn't have a dining room, they do the things they would do in the dining room in the kitchen.  If they don't have a bedroom, they do the things they would do in the bedroom in the living room.  They still spend the same number of hours in their apartment.  To some extent it makes conceptual sense to weight the rooms by the number of functions they perform.  But I don't know that you could justify that rigorously.

Martha Hewett

Director of Research | 612.335.5865

Center for Energy and Environment

212 Third Avenue North, Suite 560 | Minneapolis, MN 55401

(cell) 612.839.2358 | (fax) 612.335.5888 | www.mncee.org

On Fri, Feb 8, 2013 at 8:49 AM, Martin Sherman <[hidden email]> wrote:

John: The data file consists of one row for each resident and each resident has all of the variables.  When a resident is missing a room a sysmis was used. Using count or multiple response will give me the number of hazards per room (and total) but again my concern is about the residents that do not have all five rooms (and have sysmis for those missing hazards per room).  martin

 

From: John F Hall [mailto:[hidden email]]
Sent: Friday, February 08, 2013 1:54 AM
To: Martin Sherman; [hidden email]
Subject: RE: How to code hazards across house rooms

 

Martin

 

What does the data file actually look like?  How many rows of data are there per residence?  Is each room type in a separate data column or on a separate data row?  Are the hazards coded on the same row?  Does each hazard have a separate column or is there just a list of codes regardless of column?

 

You mention up to five room types: do any dwellings have more than one of each? 

 

Sounds to me as if you need look at MULT RESPONSE to analyse the lists of hazards overall and for each room type. You can also use COUNT to create several indices by counting the number of different hazards in each room type, or the same hazard across all room types.

 

If you send me, in complete confidence and off-list, a copy of the original questionnaire/schedule and (an extract of) the Data Editor, I may be able to give more detailed help.

 

John F Hall (Mr)

[retired academic survey researcher]

 

Email:     [hidden email]

Website: www.surveyresearch.weebly.com

 

 

 

 

 

From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Martin Sherman
Sent: 08 February 2013 01:22

To: [hidden email]
Subject: How to code hazards across house rooms

 

Dear List:  I have just received an SPSS data file from a colleague that contains responses from a City’s elderly residents who reported on safety hazards within their homes/apartments. Each room could have anywhere from 10 to 14 hazards that the residents had to check off. We are interested in getting a total hazards score for  the five rooms (across the kitchen, living room, bedroom, dining room, and bathroom). However, I have noticed that not all of the residents had five rooms. Some lived in efficiency apartments and only had two rooms. If I totaled up the number of hazards across all rooms  those with fewer rooms would automatically have lower hazards. If I obtained the mean across all of the rooms than residents could have the same mean number of hazards but it would be based upon a different number of rooms. I am trying to figure out how to factor in the number of rooms. Some way of weighting the scores but I am a bit dumbfounded on this. I realize that this is not an SPSS question but would appreciate suggestions (if you would like to chime in) as I begin to figure out how to analyze the data.  Thanks in advance,   martin

 

 

 

Martin F. Sherman, Ph.D.

Professor of Psychology

Director of  Masters Education in Psychology: Thesis Track

 

Loyola University Maryland

Department of Psychology

222 B Beatty Hall

4501 North Charles Street

Baltimore, MD 21210

 

410-617-2417

[hidden email]

 

 

 

 

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