topic Motivational and Behavioral Classes for User Segmentation in Statistical Procedures https://communities.sas.com/t5/Statistical-Procedures/Motivational-and-Behavioral-Classes-for-User-Segmentation/m-p/133790#M6966 <HTML><HEAD></HEAD><BODY><P>Hi everyone,</P><P></P><P>In the course of a research project with a sample size of &gt; 1000, I intend to first group users in unique motivation/motive classes. These will be derived from qualitative user statements which are manually attributed to multiple binary motivation items- min 5 up to 10 items such as Social, Enjoyment, Achievement or Fitness; multiple occurrences are possible. As the data appears at the moment, users would often state single motivations such as „fun“ or two motives such as a combination of „fun“, „achievement“. Anyway, all combinations are possible. What statistical method is useful in that respect to associate an individual user with a specific motivation class?</P><P></P><P>As a second dimension for the segmentation analysis, I would like to derive behavioral classes based on mixed variables such as intensity of sport consumption/week, number of different sports types consumed as well as binarily coded variables such as paid subscription (yes/no). Again, what statistical method/clustering approach would be feasible for this kind of data?</P><P></P><P>In the end, I would like to derive dominant user typologies conducting a cross tabulation of motivational and behavioral user classes.</P><P></P><P>What other (online) resources would you recommend to take into consideration for such a research project. Thanks in advance for your support and sharing any valuable information you may be able to contribute.</P></BODY></HTML> Sun, 12 May 2013 12:25:15 GMT sportstechie 2013-05-12T12:25:15Z Motivational and Behavioral Classes for User Segmentation https://communities.sas.com/t5/Statistical-Procedures/Motivational-and-Behavioral-Classes-for-User-Segmentation/m-p/133790#M6966 <HTML><HEAD></HEAD><BODY><P>Hi everyone,</P><P></P><P>In the course of a research project with a sample size of &gt; 1000, I intend to first group users in unique motivation/motive classes. These will be derived from qualitative user statements which are manually attributed to multiple binary motivation items- min 5 up to 10 items such as Social, Enjoyment, Achievement or Fitness; multiple occurrences are possible. As the data appears at the moment, users would often state single motivations such as „fun“ or two motives such as a combination of „fun“, „achievement“. Anyway, all combinations are possible. What statistical method is useful in that respect to associate an individual user with a specific motivation class?</P><P></P><P>As a second dimension for the segmentation analysis, I would like to derive behavioral classes based on mixed variables such as intensity of sport consumption/week, number of different sports types consumed as well as binarily coded variables such as paid subscription (yes/no). Again, what statistical method/clustering approach would be feasible for this kind of data?</P><P></P><P>In the end, I would like to derive dominant user typologies conducting a cross tabulation of motivational and behavioral user classes.</P><P></P><P>What other (online) resources would you recommend to take into consideration for such a research project. Thanks in advance for your support and sharing any valuable information you may be able to contribute.</P></BODY></HTML> Sun, 12 May 2013 12:25:15 GMT https://communities.sas.com/t5/Statistical-Procedures/Motivational-and-Behavioral-Classes-for-User-Segmentation/m-p/133790#M6966 sportstechie 2013-05-12T12:25:15Z