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I am unable to find a suitable way to statistically test the hypothesis that users remain consistent over time in their preference for various product attributes. The three product attributes whose relative importance are rated includes quality, cost, and aesthetics.

The data consists of rows with individual id, product id, importance of quality, importance of cost, importance of aesthetics.

Individual and product ids are unique identifiers. The importance scores sum up to 100. Here is how a snapshot of the data looks.

user_id product_id quality cost aesthetics
u1 p1 50 20 30
u1 p3 40 30 30
u1 p4 40 40 20
u2 p1 20 30 40
u2 p5 30 40 30
u3 p1 35 35 30
u300 p2 40 40 20
u300 p3 15 15 70

Are there any significance tests for the hypothesis that users generally remain consistent in their preferences for quality, cost, and aesthetics?

Any way to do this in R?

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    $\begingroup$ Is consistency the relevant tag here? $\endgroup$
    – User1865345
    Commented Jan 5, 2023 at 16:20
  • $\begingroup$ How many users? How many products? To check consistency over time I suppose you also have a column for time/date ... maybe start with visualization, ternary plots could be useful, see examples in stats.stackexchange.com/questions/275039/… Could you share (some part of) your data? $\endgroup$
    – kjetil b halvorsen ♦
    Commented Jan 10, 2023 at 18:19

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