Single-Attribute Implicit Association Tests (SA-IAT) for the Assessment of Unipolar Constructs

2006 ◽  
Vol 53 (4) ◽  
pp. 283-291 ◽  
Author(s):  
Lars Penke ◽  
Jan Eichstaedt ◽  
Jens B. Asendorpf
Keyword(s):  
Systematic Error ◽  
Error Variance ◽  
Implicit Association ◽  
Association Tests ◽  
Single Attribute ◽  
Attribute Category

A major problem with Implicit Association Tests (IATs) is that they require bipolar attributes (e.g., good-bad). Thus, IAT effects for an attribute category can be interpreted only relative to an opposite category. Problems arise if there is no clear opposite category; in this case, a neutral category can be used, although it induces systematic error variance and thus reduces validity. The present study suggests that this problem can be solved using single-attribute IATs (SA-IATs). Sociosexuality (the tendency to engage in uncommitted sex) was expected to be related at the implicit level to stronger stranger-sex associations relative to partner-sex associations. An IAT was constructed that used conversation as a neutral attribute; it showed satisfactory reliability but only low correlations with explicit sociosexuality. An alternative SA-IAT with sex as the only attribute showed a similar reliability but higher correlations with explicit sociosexuality.

Intentional Faking of the Single Category Implicit Association Test and the Implicit Association Test

2011 ◽  
Vol 109 (1) ◽  
pp. 219-230 ◽  
Author(s):  
Stefan Stieger ◽  
Anja S. Göritz ◽  
Andreas Hergovich ◽  
Martin Voracek
Keyword(s):  
Implicit Association Test ◽  
Reaction Times ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Specific Instruction ◽  
Single Attribute ◽  
Attribute Category ◽  
Single Category

The Implicit Association Test (IAT) provides a relative measure of implicit association strengths between target and attribute categories. In contrast, the Single Category Implicit Association Test (SC–IAT) measures association strength with a single attribute category. This can be advantageous if a complementary category—as used in the IAT—cannot be composed or is undesired. If the SC–IAT is to be a meaningful supplement to the IAT, it should meet the same requirements. In an online experiment with a large and heterogeneous sample, the fakability of both implicit measures was investigated when measuring anxiety. Both measures were fakable through specific instruction (e.g., “Slow down your reactions”) but unfakable through nonspecific faking instruction even though nonspecific instruction was given immediately before the critical blocks (e.g., “Alter your reaction times”). When comparing the methodological quality of both implicit measures, the SC–IAT had lower internal consistency than the IAT. Moreover, with specific faking instructions, the SC–IAT was possible to fake to a larger extent than the IAT.

Brief Implicit Association Tests for Mental Illness

2019 ◽  
Author(s):  
Simone Freitag ◽  
Susanne Stolzenburg ◽  
Georg Schomerus ◽  
Silke Schmidt
Keyword(s):  
Mental Illness ◽  
Implicit Association ◽  
Association Tests

scholarly journals Overcoming limitations of self-report: an assessment of fear of weight gain in anorexia nervosa and healthy controls using implicit association tests

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Tiana Borgers ◽  
Nathalie Krüger ◽  
Silja Vocks ◽  
Jennifer J. Thomas ◽  
Franziska Plessow ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Weight Gain ◽  
Normal Weight ◽  
Self Report ◽  
Healthy Controls ◽  
Drive For Thinness ◽  
Implicit Association ◽  
Association Tests ◽  
Implicit Assessment ◽  
Fear Of Weight Gain

Abstract Background Fear of weight gain is a characteristic feature of anorexia nervosa (AN), and reducing this fear is often a main target of treatment. However, research shows that 20% of individuals with AN do not report fear of weight gain. Studies are needed that evaluate the centrality of fear of weight gain for AN with a method less susceptible to deception than self-report. Methods We approximated implicit fear of weight gain by measuring implicit drive for thinness using implicit association tests (IATs). We asked 64 participants (35 AN, 29 healthy controls [HCs]) to categorize statements as pro-dieting vs. non-dieting and true vs. false in a questionnaire-based IAT, and pictures of underweight vs. normal-weight models and positive vs. negative words in a picture-based IAT using two response keys. We tested for associations between implicit drive for thinness and explicitly reported psychopathology within AN as well as group differences between AN and HC groups. Results Correlation analyses within the AN group showed that higher implicit drive for thinness was associated with more pronounced eating disorder-specific psychopathology. Furthermore, the AN group showed a stronger implicit drive for thinness than HCs in both IATs. Conclusion The results highlight the relevance of considering fear of weight gain as a continuous construct. Our implicit assessment captures various degrees of fear of weight gain in AN, which might allow for more individually tailored interventions in the future.

Predicting daily-life antisocial behaviour in institutionalized adolescents with Transgression-related Implicit Association Tests

2017 ◽  
Vol 28 (6) ◽  
pp. 881-900 ◽  
Author(s):  
Maya Suter ◽  
Sandrine Pihet ◽  
Grégoire Zimmermann ◽  
Jill de Ridder ◽  
Sébastien Urben ◽  
...  
Keyword(s):  
Daily Life ◽  
Antisocial Behaviour ◽  
Implicit Association ◽  
Association Tests ◽  
Institutionalized Adolescents

scholarly journals Improving Empirical Scrutiny of the Habitus: A Plea for Incorporating Implicit Association Tests in Sociological Research

Sociology ◽  
2019 ◽  
Vol 53 (5) ◽  
pp. 967-976 ◽  
Author(s):  
Julian Schaap ◽  
Jeroen van der Waal ◽  
Willem de Koster
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Research Note ◽  
Sociological Research ◽  
Implicit Association ◽  
Association Tests ◽  
Scientific Methods ◽  
Conventional Methods ◽  
Social Scientific

Many studies invoke the concept of the Bourdieusian habitus to account for a plethora of stratified patterns uncovered by conventional social-scientific methods. However, as a stratum-specific, embodied and largely non-declarative set of dispositions, the role of the habitus in those stratified patterns is typically not adequately scrutinised empirically. Instead, the habitus is often attributed theoretically to an empirically established link between stratification indicators and an outcome of interest. In this research note, we argue that combining conventional methods in stratification research with latency-based measures such as the Implicit Association Test enables better measurement of the habitus. This sociological application of Implicit Association Tests enables researchers to: (1) identify empirically the existence of different habitus among different social strata; and (2) determine their role in the stratified patterns to which they have thus far been attributed theoretically.

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