Increasing the reliability and validity of quantitative laddering data with LadderUX | Zendy

Vero Vanden Abeele | Zendy; Erik Hauters | Zendy; Bieke Zaman | Zendy

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Increasing the reliability and validity of quantitative laddering data with LadderUX

Author(s) -

Vero Vanden Abeele,

Erik Hauters,

Bieke Zaman

Publication year - 2012

Publication title -

lirias (ku leuven)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2212776.2223752

Subject(s) - laddering , reliability (semiconductor) , computer science , measure (data warehouse) , representation (politics) , data mining , set (abstract data type) , data set , qualitative property , data science , artificial intelligence , machine learning , power (physics) , physics , finance , quantum mechanics , economics , politics , political science , law , programming language

Laddering is an interview technique that provides rich qualitative data, and subsequent content analysis allows crossing over from qualitative to a quantitative measurement. However, the method is not tailored to data coming from user experience studies, and result-ing data analysis of UX Laddering studies risks to lack scientific rigor with respect to the reliability and validity of the data. Therefore, we present LadderUX and point out the design rationale for its special features that help UX researchers measure what they actually set out to measure, ensuring that the resulting dominant means-end chains form an accurate representation of the population under study.status: publishe

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