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Measuring language attitudes in context: Exploring the potential of the Personalized Implicit Association Test

Published online by Cambridge University Press:  25 March 2019

Laura Rosseel*
Affiliation:
KU Leuven, Belgium
Dirk Speelman
Affiliation:
KU Leuven, Belgium
Dirk Geeraerts
Affiliation:
KU Leuven, Belgium
*
Address for correspondence: Laura Rosseel KU Leuven Blijde-Inkomstraat 21-bus 3308 3000 Leuven, Belgiumlaura.rosseel@kuleuven.be
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Abstract

After decades of relative methodological stagnation, language attitude research is witnessing an influx of new experimental methods originally developed in social psychology. One such measure is the Personalized Implicit Association Test (P-IAT), a reaction-time-based method that measures the association between two concepts. The P-IAT has been used successfully to measure language attitudes, yet presents a number of challenges, like the fact that it measures attitudes void of linguistic or interactional context. This article aims to address that challenge and introduces a contextualized version of the P-IAT, which was used alongside an explicit measurement to explore attitudes towards varieties of Dutch in formal vs. informal settings. While the explicit attitudes show the expected pattern of preference for the standard variety in formal contexts, results from the implicit measurement are not as clear-cut. We discuss potential explanations for these findings and reflect on consequences for future sociolinguistic research using the P-IAT. (Personalized Implicit Association Test (P-IAT), context dependence of language attitudes, sociolinguistics)*

Information

Type
Articles
Copyright
Copyright © Cambridge University Press 2019 
Figure 0

Figure 1. Schematic representation experimental blocks P-IAT.

Figure 1

Table 1. Experimental design with participant numbers.

Figure 2

Table 2. Stimulus set.

Figure 3

Figure 2. Mean difference scores (Econtext = Dfor – Dinf) plotted per experimental condition (see Table 1 for an overview of the conditions). Positive scores indicate behaviour in line with the hypotheses. Negative scores indicate the opposite trend.

Figure 4

Table 3. Summary of the linear regression model with difference scores between the formal and informal P-IAT (Econtext) as the response variable. Positive difference scores indicate behaviour in line with the hypotheses. Negative scores indicate the opposite pattern.

Figure 5

Figure 3. Effects plot showing the interaction of context order and block order.

Figure 6

Table 4. Summary of the interaction between context order and block order in the regression model presented in Table 3.

Figure 7

Figure 4. Boxplots summarising the results from the absolute (two upper boxplots) and relative (bottom boxplot) rating tasks in formal (left plot) and informal (right plot) contexts. Lower scores on the relative scales indicate a preference for the regional accent, higher scores for the standard accent. For the two absolute scales, lower scores correspond to more negative evalutations of the respective varieties, higher scores to more positive ones.

Figure 8

Figure 5. Effects plot showing the context effect (Econtext, i.e. the difference score between the formal and informal P-IAT) for participants with different degrees of ambivalence towards SBD.