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Title:
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LEARNING ANALYTICS AND ITS DATA SOURCES:
WHY WE NEED TO FOSTER ALL OF THEM |
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Author(s):
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Dirk Tempelaar |
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ISBN:
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978-989-8704-33-7 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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123 |
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Last Page:
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130 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The search for rigor in learning analytics applications has placed survey data in the suspect's corner, favoring more
objective trace data. A potential lack of objectivity in survey data is the existence of response styles, the tendency of
respondents to answer survey items in a particular biased manner, such as yeah saying or always disagreeing. Making use
of multiple survey instruments that exhibit similar types of response styles, our empirical study identifies response style
bias by estimating the aggregate level of a set of response styles, amongst them the Acquiescence Response Style and the
Dis-Acquiescence Response Style. We next demonstrate that trace variables are indeed bias-free in that their estimated
response style components are small in size, accounting for minimal explained variation. Remarkably, course performance
data is not bias-free, implying that predictive modelling for learning analytics purposes will, in general, profit from the
inclusion of these bias components or apply survey data containing such response style bias to increase predictive power. |
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