|
Dear all:
While currently working on a report for administrators who have no statistical background, I am trying to make my project as simple as possible for better understanding. I have collected through SPSS and SQL an assessment of victim's profile. It consists of the following 5 domains for each individual: living conditions, financial status, physical/medical status, mental status and social interaction and support. For each category, there are 5 responses: severe problem, problem, no problem, unable to determine and N/A. Basically, it is a multiple choice for these 5 domains with only one response being selected for analysis. My initial report is to aggregate all of domains by their responses. The report looks too much information from the beginning. My strategy is to convert each response to score, say, severe problem to 2, problem to 1 and others to 0. The sum of the scores will then divided by each month victims' total. A higher score will indicate victim's risky factor that resources may be needed to help them. Thus, a single value instead of 5 responses for each domain may be easier to communicate. The report will be broken down by each month, illustrating the risk trends over the years. All of the above procedures will be completed by SPSS. Does any one have better statistical methods for this work done? Or refer any research literature for me to review. Thanks. Victor [hidden email] |
|
This really does not sound like a good idea to me. First of all you are
adding distinctly non-interval numbers across five domains that may or may not be related. You could get a 5 by having a problem in all 5 domains or by having severe problems in 2 domains and problems in a 3rd. Are any of the domains more problematic that others? I would question the internal consistency of such an index. And I have no idea what you mean by divided by each month victim's total. Has anyone done the research which looks at how each domain relates to the likelihood of victimization? What does that say about the importance of these domains in predicting victimization? Paul R. Swank, Ph.D. Professor Director of Reseach Children's Learning Institute University of Texas Health Science Center-Houston -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Chang,Victor Sent: Friday, June 22, 2007 2:45 PM To: [hidden email] Subject: Statistical Method Dear all: While currently working on a report for administrators who have no statistical background, I am trying to make my project as simple as possible for better understanding. I have collected through SPSS and SQL an assessment of victim's profile. It consists of the following 5 domains for each individual: living conditions, financial status, physical/medical status, mental status and social interaction and support. For each category, there are 5 responses: severe problem, problem, no problem, unable to determine and N/A. Basically, it is a multiple choice for these 5 domains with only one response being selected for analysis. My initial report is to aggregate all of domains by their responses. The report looks too much information from the beginning. My strategy is to convert each response to score, say, severe problem to 2, problem to 1 and others to 0. The sum of the scores will then divided by each month victims' total. A higher score will indicate victim's risky factor that resources may be needed to help them. Thus, a single value instead of 5 responses for each domain may be easier to communicate. The report will be broken down by each month, illustrating the risk trends over the years. All of the above procedures will be completed by SPSS. Does any one have better statistical methods for this work done? Or refer any research literature for me to review. Thanks. Victor [hidden email] |
| Free forum by Nabble | Edit this page |
