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

Psychometric Properties of Two Implicit Associations Tests measuring Adult Attachment

Adult attachment style has consequences for mental health, interpersonal functioning and emotion regulation. This occurs partly deliberately, also referred to as explicit, and partly on an automatic level outside of conscious awareness, also referred to as implicit. Whereas explicit adult attachment can be assessed with self-report instruments, measurement of implicit adult attachment requires indirect methods. This paper describes the psychometric properties of two Implicit Association Tests measuring general adult attachment in a population sample. The study evaluated the reliability and the validity of the Avoidant Attachment IAT (ANX-IAT) and the Anxious Attachment IAT (AVOID-IAT). Validity was evaluated against self-report measures of adult attachment style (RQ), psychopathology (SQ-48), and well-being (MHC-SF). The split-half reliabilities of both IATs were good; the test-retest reliability of the ANX-IAT was adequate; however the AVOID-IAT had low test-retest reliability. Both IATs did not explain variance in psychopathology additional to explicit measures. The AVOID-IAT showed added value over explicit measurement of avoidant attachment in explaining variance in well-being, particularly regarding emotional and psychological well-being. The ANX-IAT did not explain variance in any measure of well-being additional to the explicit measure of anxious attachment. Our findings provide a basis from which more valid IATs measuring general adult attachment can be developed. Furthermore, they suggest that implicit avoidant attachment might be related to well-being, particularly emotional and psychological well-being. However, further research is needed to investigate the role of implicit general adult attachment in mental health and to optimize the two IATs in terms of validity before clinical use is recommended.

The Implicit Component of Moral Disengagement: Applying the Relational Responding Task to Investigate Its Relationship With Cheating Behavior

This article aims to conceptualize, for the first time, an implicit form of moral disengagement and investigate its role in relation to cheating behavior. In line with the implicit social-cognition models, we argue that the implicit moral disengagement would represent an unintentional, automatic, and less accessible form of the mechanisms bypassing the moral self-regulatory system. We anticipate that in situations implying on-the-spot decisions and where individuals might suffer no consequences for the misconduct, the implicit moral disengagement would predict the actual behavior while the explicit moral disengagement would predict self-reported conduct. The results of three empirical studies provide support for the theorization of an implicit moral disengagement and its assessment through a newly developed implicit measurement procedure using the relational responding task. Results of the structural equation models, including both implicit and explicit moral disengagement, demonstrated that only the implicit one was associated with the actual misconduct.

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.

Explicit (Not Implicit) Attitudes Mediate the Focus of Attention During Sentence Processing

Many studies showed that comprehenders monitor changes in protagonists' emotions and actions. This article reports two experiments that explored how focusing comprehenders' attention on a particular property of the protagonist dimension (e.g., emotional or action state) affects the accessibility of information about target objects mentioned in the sentence. Furthermore, the present research examined whether participants' attitudes toward the issues described in the sentence can modulate comprehension processes. To this end, we asked participants to read sentences about environmental issues that focused comprehenders' attention on different mental and physical attributes of the same entities (protagonists and objects) and then self-report their own thoughts on the topic of environment by responding to the items assessing their environmental awareness. Importantly, we manipulated the task requirements across two experiments by administering a self-report task (Experiment 1), which required the participants to rate the seriousness and the frequency of the problem mentioned in a sentence; and administering a sentence-picture verification paradigm (Experiment 2), which required the participants to merely indicate if the object depicted in the picture (related to a certain environmental problem) was mentioned in the preceding sentence. The results of these experiments suggest that the focus of a sentence on the environmental problem (rather than the protagonist's emotion and action) enhances the accessibility of information about environmental issues (e.g., plastic garbage); that the comprehender's level of environmental awareness influences one's attention during sentence processing; and that comprehender characteristics significantly modulate comprehension processes only when the measures tap into explicit (and not implicit) processes.

Moving Beyond the Relative Assessment of Implicit Biases: Navigating the Complexities of Absolute Measurement

A relative assessment of implicit biases is limited because it produces a combined summary evaluation of two attitudinal beliefs while concealing the biases driving this evaluation. Similar limitations occur for relative explicit measures. Here, we will discuss the benefits and weaknesses of using relative versus absolute (individual/separate) assessments of implicit and explicit attitudes. The Implicit Association Test (IAT) will be the focal implicit measure discussed, and we will present a new perspective challenging the evidence that the IAT can only be utilized to measure relative, not absolute, implicit attitudes. Modeling techniques (i.e., Quad models) that can determine the separate biases behind the relative summary evaluation will also be considered. Accurately utilizing absolute implicit bias scores will enable academia and industry to answer more complex research questions. For implicit social cognition to maintain and expand its usefulness, we encourage researchers to further test and refine the measurement of absolute implicit biases.

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.

A Health Game Targeting Children's Implicit Attitudes and Snack Choices

Objective: The present study investigated whether a health game can be used to affect children's implicit attitudes toward food (IAsTF) and subsequent snack choices. Materials and Methods: The health game used was based on an evaluative conditioning paradigm. The experiment followed a between-subjects design with two conditions (health game vs. control), N = 79 (12.42 years ±1.64, body mass index: 25.06 ± 7.40). IAsTF were assessed at baseline and postintervention using an implicit association test (IAT). Baseline IAT scores were used to categorize IAsTF as healthy (favoring fruits) versus unhealthy IAsTF (favoring chocolates). In addition, three digital snack choices were recorded. Results: No main effect of condition on posttest IAsTF was found. However, baseline IAsTF moderated the effect of condition on posttest IAsTF; participants with less healthy baseline IAsTF playing the health game had healthier posttest IAsTF compared to those playing the control game. Regarding the snack choices, participants playing the health game favored fruit over chocolate in one of the snack choices. Baseline IAsTF did not moderate the effect of condition on snack choices. Conclusion: Tentative support was found that health games can be used to improve IAsTF, in particular among participants with less healthy ones at baseline.