Descriptive data for ordinal variables

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Descriptive data for ordinal variables

Katina Dimoulias
Hello members,

I have a question that is not strictly about spss, however was hoping I
could get some advice.  I have several research questions along the lines
of  - What are young people's perceptions of the physical and design
features of the youth centre?  The variables are measured on a 5 point
likert scale.  Am I correct in my understanding that the descriptive data I
present are medians (not means, SD's).  Do I present any other descriptives
in the same table .g. range etc. ?

Thanks,

Katina

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Re: Descriptive data for ordinal variables

Spousta Jan
Hi Katina,

I believe that it is good to present means and SDs, too. It is not exactly correct, but

* It is much more fine-tuned (medians are only whole numbers and halves, but means can have any value in the interval 1 - 5)

* People understand it well

Ranges are not very stable (can depend on a single "extremist" respondent), do not present them.

Best regards

Jan


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Katina Dimoulias
Sent: Tuesday, May 06, 2008 9:11 AM
To: [hidden email]
Subject: Descriptive data for ordinal variables

Hello members,

I have a question that is not strictly about spss, however was hoping I could get some advice.  I have several research questions along the lines of  - What are young people's perceptions of the physical and design features of the youth centre?  The variables are measured on a 5 point likert scale.  Am I correct in my understanding that the descriptive data I present are medians (not means, SD's).  Do I present any other descriptives in the same table .g. range etc. ?

Thanks,

Katina

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Re: Descriptive data for ordinal variables

Kornbrot, Diana
In reply to this post by Katina Dimoulias
Neither are good measures
Medians are uninformative because there are only 5 alternatives
Means are a shorthand but incorreft in that they assume equal intervals
between scale point
Most useful and easy to interpret measures are proportions
E.g. Proportion [or %age] of respondents thinking sports facilities were
good or excellent
+ Proportion of of respondents thinking sports facilities were poor or very
poor.

Mnay people implement Likert as strongly agree > strongly disagree
If that is what you/ve already got then UNDESIRABLE because if someone
thinks facilities are superb, then they may NOT agree with statement
facilities are good. They are not good they are superb.
If you can, design survey with magnitude positive /negative words like good,
excellent, poor, etc.
If you already have the data, then best descriptives are:
E.g. Proportion [or %age] of respondents agree or strongly agree
+ Proportion of of respondents disagree or strongly disagree.

If you wish to compare different facilities, then you can use crosstabs to
get a chi-square for contingency table.
Take one of the ordinal measures, as Likert scales are ordinal

Best

Diana

On 6/5/08 08:10, "Katina Dimoulias" <[hidden email]> wrote:

> Hello members,
>
> I have a question that is not strictly about spss, however was hoping I
> could get some advice.  I have several research questions along the lines
> of  - What are young people's perceptions of the physical and design
> features of the youth centre?  The variables are measured on a 5 point
> likert scale.  Am I correct in my understanding that the descriptive data I
> present are medians (not means, SD's).  Do I present any other descriptives
> in the same table .g. range etc. ?
>
> Thanks,
>
> Katina
>
> =====================
> To manage your subscription to SPSSX-L, send a message to
> [hidden email] (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD


Professor Diana Kornbrot
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