RESEARCH, DATA-ANALYSES & AI (W 1.4)

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ASSOCIATIVE METHODS

Last updated 2:01 PM on 9/29/26
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<p>what could be a means-end chain of a New Balance sneaker?</p>

what could be a means-end chain of a New Balance sneaker?

  1. attributes → what are the concrete product features of this sneaker?

    • high-quality cushioning

    • breathable mesh upper

    • timeless design

    • durable materials

  2. consequences → what are the results/benefits of these attributes for you?

    • I can walk/run comfortable for longer

    • my feet stay cool & comfortable

    • I can easily combine them with different outfits

    • they last a long time

    • I make a more environmentally friendly choice

  3. values → what deeper personal values might these consequences fulfill?

    • health & well-being

    • social acceptance

    • self-confidence

    • a better world for future generations

    • freedom & an active lifestyle


<ol><li><p><strong>attributes → what are the concrete product features of this sneaker?</strong></p><ul><li><p>high-quality cushioning</p></li><li><p>breathable mesh upper</p></li><li><p>timeless design</p></li><li><p>durable materials</p></li></ul></li><li><p><strong>consequences → what are the results/benefits of these attributes for you?</strong></p><ul><li><p>I can walk/run comfortable for longer</p></li><li><p>my feet stay cool &amp; comfortable</p></li><li><p>I can easily combine them with different outfits</p></li><li><p>they last a long time</p></li><li><p>I make a more environmentally friendly choice</p></li></ul></li><li><p><strong>values → what deeper personal values might these consequences fulfill?</strong></p><ul><li><p>health &amp; well-being</p></li><li><p>social acceptance</p></li><li><p>self-confidence</p></li><li><p>a better world for future generations</p></li><li><p>freedom &amp; an active lifestyle</p></li></ul></li></ol><p></p>
2
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what would be an example of a means-end chain of a car?

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what are associative methods? which types do we know?

  • they’re techniques to uncover emotions, meanings & hidden associations

  • types:

    1. photosort → respondents select images that represent their experience/feelings

    2. word association → respondents say the first words that come to mind

    3. metaphor elicitation → respondents explain experiences through comparisons & metaphors

    4. sentence completion → respondents complete unfinished sentences in their own way

  • stimulus → association → emotion → meaning → insight


<ul><li><p>they’re techniques to uncover emotions, meanings &amp; hidden associations</p></li><li><p>types:</p><ol><li><p><strong>photosort </strong>→ respondents select images that represent their experience/feelings</p></li><li><p><strong>word association</strong> → respondents say the first words that come to mind</p></li><li><p><strong>metaphor elicitation </strong>→ respondents explain experiences through comparisons &amp; metaphors</p></li><li><p><strong>sentence completion</strong> → respondents complete unfinished sentences in their own way</p></li></ol></li><li><p>stimulus → association → emotion → meaning → insight</p></li></ul><p></p>
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why do we use associative methods?

  • reveals subconscious perceptions → bypasses conscious filtering to capture spontaneous, instinctive thoughts & attitudes

  • reduces response bias → minimises social desirability, leading to more authentic data

  • maps mental & social structures → identifies how concepts are organised, prioritised, & emotionally charged

  • blends qualitative & quantitative data → captures rich, expressive insights that can still be statistically analysed & quantified

  • low participant burden → uses simple, fast tasks (like word/image associations) that work perfectly as an interview warm-up


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how do we perform the Photosort method?

  • use open questions & laddering:

    • why this image?

    • what does it represent?

    • how does it make you feel?

    • why is that important to you?

  • important: the meaning given to the image by the respondent is more important than the image itself