The Propositional Evaluation Paradigm: Indirect Assessment of Personal Beliefs and Attitudes

An implicit measure of growth mindset uniquely predicts post-failure learning behavior

Research on implicit theories of intelligence (a.k.a. intelligence mindset) has shown that endorsing a stronger growth mindset (the belief that intelligence can be improved) is adaptive in the face of difficulties. Although the theory presumes implicit processes (i.e., unaware beliefs, guiding behaviors and actions automatically), the concept is typically assessed with self-reports. In this project we brought together research on intelligence mindset with research on implicit social cognition. Harnessing recent innovations from research on implicit measures, we assessed intelligence mindsets on an implicit level with a mousetracking Propositional Evaluation Paradigm. This measure captures the spontaneous truth evaluation of growth- and fixed-mindset statements to tap into implicit beliefs. In two preregistered laboratory studies (N = 184; N = 193), we found that implicitly measured growth mindsets predicted learning engagement after an experience of failure above and beyond the explicitly measured growth mindset. Our results suggest that implicit and explicit aspects of intelligence mindsets must be differentiated. People might be in a different mindset when making learning-related decisions under optimal conditions (i.e., with ample time and capacity) or under suboptimal conditions (i.e., when time pressure is high). This advancement in the understanding of implicit theories of intelligence is accompanied with substantial implications for theory and practice.

Two social minds in one brain? error-related negativity provides evidence for parallel processing pathways during social evaluation

Several authors assume that evaluative conditioning (EC) relies on high-level propositional thinking. In contrast, the dual-process perspective proposes two processing pathways, one associative and the other propositional, contributing to EC. Dual-process theorists argue that attitudinal ambiguity resulting from these two pathways' conflicting evaluations demonstrate the involvement of both automatic and controlled processes in EC. Previously, we suggested that amplitude variations of error-related negativity and error-positivity, two well-researched event-related potentials of performance monitoring, allow for the detection of attitudinal ambiguity at the neural level. The present study utilises self-reported evaluation, categorisation performance, and neural correlates of performance monitoring to explore associative-propositional ambiguity during social attitude formation. Our results show that compared to associative-propositional harmony, attitudinal ambiguity correlates with more neutral subjective evaluations, longer response times, increased error commission, and diminished error-related negativity amplitudes. While our findings align with dual-process models, we aim to offer a propositional interpretation. We discuss dual-process theories in the context of evolutionary psychology, suggesting that associative processes may only represent a small piece of the EC puzzle.

Endorsement and embodiment of cautiousness-related age stereotypes

Endorsement of implicit age stereotypes was assessed with the propositional evaluation paradigm (PEP) in a high-powered, preregistered study, comprising samples of young (n = 89) and older (n = 125) adults. To investigate whether implicit age stereotypes shape the behavior via self-stereotyping ("embodiment"), we examined whether implicit endorsement of the belief of older (young) people being cautious (reckless) predicts older (young) individuals' spontaneous behavior in a speeded response time task. In both age groups, we found significant implicit endorsement effects of age stereotypical beliefs. However, implicit endorsement effects of the cautiousness-related age stereotypes were unrelated to our indicators of spontaneous cautious/reckless behavior in the speeded RT task (as assessed with the parameter a of a diffusion model analysis) for both age groups. The same pattern of results (endorsement of age stereotypic beliefs but no relation with behavioral indicators) was found for explicit measures of age stereotypes. Replicating previous findings, implicit and explicit measures of cautiousness-related age stereotypes were uncorrelated. In sum, our findings provide evidence for the implicit and explicit endorsement of cautiousness-related stereotypical beliefs about old and young people; individual differences in belief endorsement, however, did not predict differences in spontaneous cautiousness-related behavior in a speeded RT task.

Implicit and Explicit Age Stereotypes Assessed in the Same Contexts are Still Independent

OBJECTIVE

In a series of three studies (N = 187), we investigated the correlation between implicit and explicit age stereotypes, both of which were assessed in a context-dependent way.

METHODS

To assess implicit age stereotypes, we presented combinations of age category and specific context information as primes in a lexical decision task (LDT) with age stereotypic attributes as targets (e.g., "An old person is passing the crosswalk." - "slow"). To assess explicit age stereotypes, stereotypic traits were rated for their fit with person descriptions containing the same category and context information as the implicit measure.

RESULTS

Category effects for the priming and rating tasks emerged within relevant contexts, however, we found no correlations between these two indicators, despite the fact that the same contexts were provided for explicit and implicit assessment.

CONCLUSION

These findings indicate that implicit and explicit age stereotypes reflect independent belief systems that are activated under different operating conditions (automatic activation vs. controlled reasoning).

Testing the practical utility of implicit measures of beliefs for predicting drunk driving

Despite the potential benefits of implicit measures over self-report measures, they are rarely used in real-world contexts to predict behavior. Two potential reasons are that (a) traditional implicit measures typically show low predictive validity and (b) the practical utility of implicit measures has hardly been investigated. The current studies test the practical utility of a new generation of implicit measures for predicting drunk driving. Study 1 (N = 290) examined whether an implicit measure of beliefs about past drunk driving (i.e., the Past Driving Under the Influence Implicit Association Test; P-DUI-IAT) retrospectively predicts drunk driving in driving school students, a population for which this measure could have applied value. Study 1 also explored whether P-DUI-IAT scores prospectively predicted drunk driving over six months. Due to the low number of offenders, however, Study 1 had low statistical power to test this latter question. In Study 2 (N = 228), we therefore examined the utility of the P-DUI-IAT and a new variant of this test (i.e., the Acceptability of Driving Under the Influence Implicit Association Test; A-DUI-IAT) to prospectively predict drunk driving in an online sample with a high number of offenders. Results from Study 1 show that the P-DUI-IAT predicts self-rated past drunk driving behavior in driving school students (ORs = 3.11-6.12, ps < .043, 95% CIs = [1.11, 37.69]). Results from Study 1 do not show evidence for utility of the P-DUI-IAT to prospectively predict self-rated drunk driving. Results from Study 2, on the other hand, show strong evidence for the utility of both implicit measures to prospectively predict self-rated drunk driving (ORs = 3.80-5.82, ps < .002, 95% CIs = [1.72, 14.47]). Although further applied research is necessary, the current results could provide a first step towards the application of implicit measures in real-world contexts.

Automatic Activation of Age Stereotypes

Abstract. The current study investigated category-based activation of stereotypes when processing of the category primes is mandatory. In three high-powered pre-registered experiments (total n = 211), we compared responses to age-stereotypic traits (e.g., lonely) after presenting matching versus mismatching category primes (old vs. young faces) of which the age information had to be remembered. Experiments varied in stimulus-onset asynchronies (SOA; 250 ms vs. 500 ms) and in the inclusion of neutral conditions of prime and target factors. Consistently across all experiments, no facilitation of matching category primes was observed, indicating that category information alone does not facilitate processing of matching stereotypes even if it is attended. The theoretical and practical implications for activation and representation of stereotypes are discussed.

How does the moral self-concept relate to prosocial behaviour? Investigating the role of emotions and consistency preference

The moral self-concept has been proposed as a central predictor of prosocial behaviour. In two experiments (one preregistered), we explored the nature of the relation between the moral self-concept (explicit and implicit) and prosocial behaviour. Specifically, we investigated the role of emotions associated with prosocial behaviour (consequential or anticipated) and preference for consistency. The results revealed a relation between the explicit moral self-concept and sharing behaviour. The explicit moral self-concept was linked to anticipated and consequential emotions regarding not-sharing. Importantly, anticipated and consequential emotions about not-sharing mediated the relation between self-concept and behaviour. Yet, the relation was independent of preference for consistency. The implicit moral self-concept was neither related to prosocial behaviour nor to emotions associated with behaviour. Overall, our study demonstrates the interplay between cognitive and emotional processes in explaining prosocial behaviour. More specific, it underlines the link between the moral self-concept and prosocial behaviour and highlights the role of emotions about the omission of prosocial behaviour.

Age Specificity in Explicit and Implicit Endorsement of Prescriptive Age Stereotypes

In this study, we investigated explicit and implicit endorsement of prescriptive age stereotypes. To achieve that, we captured endorsement of a wide range of prescriptive expectations targeting both younger (younger adults are expected to be ambitious, eager to learn, unconventional, respectful) and older (older adults are expected to stay active, to be generous, dignified, and wise) people. Younger (n = 58, 50% female, M age = 26.07 years, SD = 3.01) and older adults (n = 75, 44% female, M age = 66.69 years, SD = 4.63) participated in the study. We assessed implicit endorsement of prescriptive age stereotypes with the Propositional Evaluation Paradigm (PEP) and used a direct measure to assess explicit endorsement. In general, we found strong support for age-specificity in both explicit and implicit endorsement of prescriptive age stereotypes: Sentences ascribing expectations for young/old to the respective age group (e.g., "young should be ambitious"; "old should be wise") were endorsed much more strongly than sentences in which expectations for young/old were ascribed to the other age group (e.g., "old should be ambitious"; "young should be wise"). Age group differences in the endorsement of prescriptive age stereotypes were found. Compared to younger participants, older participants showed stronger endorsement for prescriptive beliefs targeting both younger and older targets. Explicit and implicit endorsement of prescriptive age stereotypes did not correlate with one another, thus revealing they might assess independent belief systems with different predictive potential.

No elephant in the room: The incremental validity of implicit self-esteem measures

Correlational research aiming to validate measures and the construct of implicit self-esteem (ISE) has produced heterogeneous results in the past. We argue that this might be caused by two underappreciated obstacles: the situational malleability and construct irrelevant variance in conventional ISE measures. To minimize these problems, we applied process and latent state-trait modeling to Implicit Association Test and Name Letter Task data collected on four occasions across six weeks in a preregistered online study (initial N = 360, final N = 302). We investigated the relation of supposed trait ISE parameters with trait explicit self-esteem (ESE) and criteria. Results indicated no latent trait correlation among the different supposed indicators of ISE, small latent trait correlations of indicators of ISE and ESE, and little incremental validity of the supposed ISE measures in predicting potential criterion measures over and above ESE. These findings align with previous critical evaluations regarding the supposed measures of ISE and the conceptual validity of ISE as an association. Implications for future research on ISE are discussed.

Attitudes as propositional representations

Attitudes are mental representations that help to explain why stimuli evoke positive or negative responses. Until recently, attitudes were often thought of as associations in memory. This idea inspired extensive research on evaluative conditioning (EC) and implicit evaluation. However, attitudes can also be seen as propositional representations, which, unlike associations, specify relational information and have a truth value. We review research on EC and implicit evaluation that tested the basic tenets of the propositional perspective on attitudes. In line with this perspective, studies show that both phenomena are moderated by relational and truth information. We discuss implications for the prediction and influencing of seemingly irrational behavior such as excessive alcohol intake and implicit racial bias.

The Role of Implicit and Explicit Staff Attitudes in the Use of Coercive Measures in Psychiatry

Many determinants leading to the use of different coercive measures in psychiatry have been widely studied and it seems that staff attitudes play a crucial role when it comes to the decision-making process about using coercion. However, research results about staff attitudes and their role in the use of coercive measures are inconsistent. This might be due to a focus on self-report studies asking for explicit answers, which involves the risk of bias. This study aimed to expand research on this topic by examining the impact of explicit and implicit staff attitudes on the use of coercive measures in clinical practice. In addition, the influence of gender, profession (nurses, psychiatrists), and years of professional experience as well as their influence on staff attitudes were examined. An adaption of the implicit association measure, the Go/No-Go Association Task (GNAT), with the target category coercion and distracter stimuli describing work load, as well as the explicit questionnaire Staff Attitudes to Coercion Scale (SACS) was completed by staff (N = 149) on 13 acute psychiatric units in 6 hospitals. Data on coercive measures as well as the total number of treated cases for each unit was collected. Results showed that there was no association between staff's implicit and explicit attitudes toward coercion, and neither measure was correlated with the local frequency of coercive measures. ANOVAs showed a significant difference of the GNAT result for the factor gender (F = 9.32, p = 0.003), demonstrating a higher tendency to justify coercion among female staff members (M = -0.23, SD = ±0.35) compared to their male colleagues (M = -0.41, SD = ±0.31). For the SACS, a significant difference was found for the factor profession (F = 7.58, p = 0.007), with nurses (M = 2.79, SD = ±1.40) showing a more positive attitude to the use of coercion than psychiatrists (M = 2.15, SD = ±1.11). No significant associations were found regarding the extent of professional experience. Results indicate a complex interaction between implicit and explicit decision-making processes dependent on specific contexts. We propose future research to include primers for more context-related outcomes. Furthermore, differences in gender suggest a need to direct attention toward occupational safety and possible feelings of anxiety in the workplace, especially for female staff members.

Automatic processes in evaluative learning

This special issue of Cognition and Emotion assembles recent advances in theorising and empirical research on the automaticity of evaluative learning. Based on a taxonomy of automatic processes in evaluative learning, we distinguish between processes that are involved in translating evaluative experiences into evaluative mental representations (acquisition), and processes that translate these representations into evaluative biases in perception, thought, and action (activation and application). We emphasise that automaticity concerns the operating conditions of these processes (unawareness, unintentionality, uncontrollability, efficiency), not their operating principles, and thus can vary within specific processes (e.g. inferences can occur in either an automatic or non-automatic fashion). We review and discuss contemporary theories and methodological approaches to automatic processes in evaluative learning against the backdrop of our framework, and we highlight the contributions of the papers of this special issue to the question whether and when evaluative changes can occur in an automatic manner.

Research With Implicit Measures: Suggestions for a New Agenda of Sub-Personal Psychology

Research with implicit measures has been criticized for an unclear meaning of the term implicit and inadequate psychometric properties, as well as problems regarding internal validity and low predictive validity of implicit measures. To these criticisms, we add an overly restrictive theoretical focus and research agenda that is limited to the narrow dichotomy between associations versus propositional beliefs. In this article, we address the last problem by introducing a new perspective of a sub-personal psychology. This broad approach expands the conceptual horizon in order to make use of the full potential that experimental paradigms can offer for assessing, explaining, predicting, and modifying human functioning and behavior. Going beyond the analysis of associations and beliefs, we highlight the use of experimental paradigms to examine and modify motivational, environmental, and episodic memory factors that influence human action.

Reflecting on 25 Years of Research Using Implicit Measures: Recommendations for Their Future Use

For more than 25 years, implicit measures have shaped research, theorizing, and intervention in psychological science. During this period, the development and deployment of implicit measures have been predicated on a number of theoretical, methodological, and applied assumptions. Yet these assumptions are frequently violated and rarely met. As a result, the merit of research using implicit measures has increasingly been cast into doubt. In this article, we argue that future implicit measures research could benefit from adherence to four guidelines based on a functional approach wherein performance on implicit measures is described and analyzed as behavior emitted under specific conditions and captured in a specific measurement context. We unpack this approach and highlight recent work illustrating both its theoretical and practical value.

On the role of (implicit) drinking self-identity in alcohol use and problematic drinking: A comparison of five measures

Objective: Implicit and explicit drinking self-identity appear to be useful in predicting alcohol-related outcomes. However, there are several different implicit and explicit measures which can be used to assess drinking self-identity. Some of these implicit measures can also capture relational information (e.g., I am a drinker, I should be a drinker), which might provide unique advantages. Despite the importance of having good measures of drinking self-identity, to date there has been little direct comparison of these measures. Method: This study (N = 358) systematically compared two commonly used measures of drinking self-identity (one implicit and one explicit: the Implicit Association Test [IAT] and the Alcohol Self-Concept Scale [ASCS]) with three relational measures of implicit self-identity (the autobiographical IAT [aIAT], the Relational Responding Task [RRT], and the Propositional Concealed Information Test [pCIT]) on a range of criteria relevant to experimental and clinical alcohol researchers. Results: Overall, we found mixed performances on the implicit measures. Interestingly, the aIAT, which probed should-based drinking identity, performed better than the standard IAT. However, the explicit measure exhibited superior performance to all other measures across all criteria. Conclusions: Our results suggest that researchers who wish to assess drinking-related self-identity and to predict alcohol-related outcomes cross-sectionally should set their focus primarily on the use (and further development) of the ASCS, rather than any of the implicit measures. Future research focusing on the ASCS should seek to investigate the generalizability of our findings to patient populations, and incorporate relational information within that procedure to further improve upon its already-strong utility. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions

Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior on the other. Twenty years of research and several meta-analyses later, however, we have to conclude that neither the IAT nor its derivatives have fulfilled these expectations. Their predictive value for behavioral criteria is weak and their incremental validity over and above self-report measures is negligible. In our review, we present an overview of explanations for these unsatisfactory findings and delineate promising ways forward. Over the years, several reasons for the IAT's weak predictive validity have been proposed. They point to four potentially problematic features: First, the IAT is by no means a pure measure of individual differences in associations but suffers from extraneous influences like recoding. Hence, the predictive validity of IAT-scores should not be confused with the predictive validity of associations. Second, with the IAT, we usually aim to measure evaluation ("liking") instead of motivation ("wanting"). Yet, behavior might be determined much more often by the latter than the former. Third, the IAT focuses on measuring associations instead of propositional beliefs and thus taps into a construct that might be too unspecific to account for behavior. Finally, studies on predictive validity are often characterized by a mismatch between predictor and criterion (e.g., while behavior is highly context-specific, the IAT usually takes into account neither the situation nor the domain). Recent research, however, also revealed advances addressing each of these problems, namely (1) procedural and analytical advances to control for recoding in the IAT, (2) measurement procedures to assess implicit wanting, (3) measurement procedures to assess implicit beliefs, and (4) approaches to increase the fit between implicit measures and behavioral criteria (e.g., by incorporating contextual information). Implicit measures like the IAT hold an enormous potential. In order to allow them to fulfill this potential, however, we have to refine our understanding of these measures, and we should incorporate recent conceptual and methodological advancements. This review provides specific recommendations on how to do so.