SPSS Statistics

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you

Please can you say more on the design of your data or display it? And what do you mean by "paired" in your case?

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you

Hi Kirill

I have 11 variables one of which is brand (categorical). The others (10) have been rated (likert scale). The brands have not been subjected to paired comparison as one would usually do in MDS. Thank you.

Frank

Please can you say more on the design of your data or display it? And what do you mean by "paired" in your case?

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you

Hi Kirill

I have 11 variables one of which is brand (categorical). The others (10) have been rated (likert scale). The brands have not been subjected to paired comparison as one would usually do in MDS. Thank you.

Frank

Please can you say more on the design of your data or display it? And what do you mean by "paired" in your case?

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you

P S. To to save a matrix from the PROXIMITIES, paste syntax it generates and add /MATRIX=OUT(*) subcommand.

To save likewise multiple matrices, do the same run under split-file regime by "rater" variable.

Hi Kirill

I have 11 variables one of which is brand (categorical). The others (10) have been rated (likert scale). The brands have not been subjected to paired comparison as one would usually do in MDS. Thank you.

Frank

Please can you say more on the design of your data or display it? And what do you mean by "paired" in your case?

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you

Thank you. I had tried the distances option, but ended up with a matrix showing each observation as a data point in the output as correlation matrix. I will try your suggestion, but not really sure what goes into the weighted box?

Best regards, 

P S. To to save a matrix from the PROXIMITIES, paste syntax it generates and add /MATRIX=OUT(*) subcommand.

To save likewise multiple matrices, do the same run under split-file regime by "rater" variable.

Hi Kirill

I have 11 variables one of which is brand (categorical). The others (10) have been rated (likert scale). The brands have not been subjected to paired comparison as one would usually do in MDS. Thank you.

Frank

Please can you say more on the design of your data or display it? And what do you mean by "paired" in your case?

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you

To compute distaces between brands you must have 10 Brands by 15 Features dataset. But you have also 20 Raters, so 200 cases total. If you want individual matrices for each rater, split file by rater (after sorting cases by Rater and Brand).

If you want one combined matrix based on all the Raters, first compute their mean rate for each Feature, by Aggregate, saving out a new, 10 by 15 dataset with the means.

Also, don't forget to consider whether any standardizations and what specifically are due to do as pre-processing of your initial data.

Thank you. I had tried the distances option, but ended up with a matrix showing each observation as a data point in the output as correlation matrix. I will try your suggestion, but not really sure what goes into the weighted box?

Best regards, 

P S. To to save a matrix from the PROXIMITIES, paste syntax it generates and add /MATRIX=OUT(*) subcommand.

To save likewise multiple matrices, do the same run under split-file regime by "rater" variable.

Hi Kirill

I have 11 variables one of which is brand (categorical). The others (10) have been rated (likert scale). The brands have not been subjected to paired comparison as one would usually do in MDS. Thank you.

Frank

Please can you say more on the design of your data or display it? And what do you mean by "paired" in your case?

Hello Everyone,

I am trying to run Multidimensional scaling to create a perceptual map for a 15 product brands (e.g., n= 10-20 observations per products) with 10 variables ratings of these products. The products/brands are not paired. Is there a way to do this in SPSS? I know this can be done in cluster analysis, but I like to try is in MDS.

Thank you