scholarly journals Research on Image Acquisition Method Model Based on Implicit Association Test

2020 ◽  
Vol 179 ◽  
pp. 02006
Author(s):  
Zhuen Guo ◽  
Li Lin
Keyword(s):  
Cognitive Processing ◽  
Implicit Association Test ◽  
Measurement Data ◽  
Association Test ◽  
Implicit Association ◽  
Perceptual Evaluation ◽  
Model Based ◽  
Implicit Measurement ◽  
Product Image ◽  
Extraction Model

In the process of the traditional quantitative method is easily interfered with by subjective and external environment, and cannot reflect the real emotion of users. The implicit measurement method can better reflect the cognitive of users and has good reliability in perceptual evaluation. In this paper, the implicit cognitive processing process in users’ perceptual evaluation of products is quantitatively analyzed. The correlation between product image attribute values and implicit measurement data is obtained. Thus, an image extraction model based on implicit measurement data is obtained. The implicit association test is introduced into the image extraction process, and the relationship between the implicit association test data of users and the data of product image attribute values is analyzed. Taking UAV as the analysis prototype, the image extraction model is obtained. After verification and analysis, the image extraction results are consistent with the image attribute values.

scholarly journals The Gender Violence - Implicit Association Test to measure attitudes toward intimate partner violence against women

2020 ◽  
Vol 33 (1) ◽  
Author(s):  
Victoria A. Ferrer-Perez ◽  
Andrés Sánchez-Prada ◽  
Carmen Delgado-Álvarez ◽  
Esperanza Bosch-Fiol
Keyword(s):  
Intimate Partner Violence ◽  
Violence Against Women ◽  
Partner Violence ◽  
Implicit Association Test ◽  
Intimate Partner ◽  
Association Test ◽  
Gender Violence ◽  
Implicit Association ◽  
Implicit Measurement ◽  
Partner Violence Against Women

Abstract Attitudes play a central role in intimate partner violence against women and are related to its origin, to the responses of women who suffer violence, and to the settings where it occurs. In fact, these attitudes are recognized as one of the risk factors linked to violent perpetration and to public, professional, and victim responses to this type of violence. However, even though available research generally shows a broad rejection of this violence, it remains a serious social and health problem that has reached epidemic proportions. This suggests that the information available about these attitudes (obtained through explicit and direct measures, i.e., self-reports) may be distorted or influenced by factors such as social desirability. In this context, the overall objective of our research project is to provide multi-method measures (explicit and implicit) of attitudes toward intimate partner violence against women, and the main goal of this paper is to propose an instrument for the implicit measurement of these attitudes. In this regard, the Implicit Association Test (IAT) is the most common procedure used, providing a superior predictive validity compared to explicit measures for socially sensitive topics. We will present an exploratory study that describes its adaptation for our purposes, and the development of the Gender Violence - Implicit Association Test (GV-IAT) to use among Spanish-speaking populations, and discuss the strengths and limitations of this proposal.

Applying the Latent State-Trait Analysis to Decompose State, Trait, and Error Components of the Self-Esteem Implicit Association Test

2019 ◽  
Vol 35 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Francesco Dentale ◽  
Michele Vecchione ◽  
Valerio Ghezzi ◽  
Claudio Barbaranelli
Keyword(s):  
Implicit Association Test ◽  
Latent Trait ◽  
Error Variance ◽  
Self Esteem ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Implicit Measurement ◽  
Explicit Correlation ◽  
Latent Traits

Abstract. In the literature, self-report scales of Self-Esteem (SE) often showed a higher test-retest correlation and a lower situational variability compared to implicit measures. Moreover, several studies showed a close to zero implicit-explicit correlation. Applying a latent state-trait (LST) model on a sample of 95 participants (80 females, mean age: 22.49 ± 6.77 years) assessed at five measurement occasions, the present study aims at decomposing latent trait, latent state residual, and measurement error of the SE Implicit Association Test (SE-IAT). Moreover, in order to compare implicit and explicit variance components, a multi-construct LST was analyzed across two occasions, including both the SE-IAT and the Rosenberg Self-Esteem Scale (RSES). Results revealed that: (1) the amounts of state and trait variance in the SE-IAT were rather similar; (2) explicit SE showed a higher consistency, a lower occasion-specificity, and a lower proportion of error variance than SE-IAT; (3) latent traits of explicit and implicit SE showed a positive and significant correlation of moderate size. Theoretical implications for the implicit measurement of self-esteem were discussed.

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

2019 ◽  
Vol 48 (3) ◽  
pp. 429-461
Author(s):  
Laura Rosseel ◽  
Dirk Speelman ◽  
Dirk Geeraerts
Keyword(s):  
Implicit Association Test ◽  
Language Attitudes ◽  
Association Test ◽  
Implicit Association ◽  
Explicit Attitudes ◽  
Clear Cut ◽  
Implicit Measurement ◽  
Attitude Research ◽  
Language Attitude ◽  
Informal Settings

AbstractAfter 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)*

scholarly journals Development of the National Identity Measurement Using the Implicit Association Test Method

2017 ◽  
Vol 32 (2) ◽  
pp. 76-89
Author(s):  
Christiany Suwartono ◽  
Eko A. Meinarno ◽  
Gugah Bawono
Keyword(s):  
National Identity ◽  
Implicit Association Test ◽  
Association Test ◽  
Point Of View ◽  
Test Method ◽  
Implicit Association ◽  
Equal Rights ◽  
Discussion Section ◽  
Implicit Measurement ◽  
New Instrument

This study is a first attempt to develop a new instrument using the Implicit Association Test (IAT) method. Researchers have tried to use this method in social psychology research, particularly to measure the construct of national identity. The national identity is a multi-dimensional construct and has several fundamental attributes, namely the same territorial, historical memories, culture, general rights laws and obligations for all members, and equal rights in the economic and territorial mobilization for group members. The study was conducted with 48 participants aged 17-23 years (M = 18.98, SD = 1.25). The result showed that the correlation between explicit and implicit measures on the construct of national identity was positive but not significant. Moreover, the explicit and implicit measurement did not provide the same pattern; indicating that both measurements measure national identity construct from a different point of view. Next, we evaluate the strengths and weaknesses of the two measurement methods in the Discussion section and then, provide recommendations for further studies.

Men Are Hierarchical, Women Are Egalitarian: An Implicit Gender Stereotype

2004 ◽  
Vol 63 (2) ◽  
pp. 107-111 ◽  
Author(s):  
Marianne Schmid Mast
Keyword(s):  
Empirical Evidence ◽  
Implicit Association Test ◽  
Gender Stereotype ◽  
Association Test ◽  
Implicit Association ◽  
Two Samples

The goal of the present study was to provide empirical evidence for the existence of an implicit hierarchy gender stereotype indicating that men are more readily associated with hierarchies and women are more readily associated with egalitarian structures. To measure the implicit hierarchy gender stereotype, the Implicit Association Test (IAT, Greenwald et al., 1998) was used. Two samples of undergraduates (Sample 1: 41 females, 22 males; Sample 2: 35 females, 37 males) completed a newly developed paper-based hierarchy-gender IAT. Results showed that there was an implicit hierarchy gender stereotype: the association between male and hierarchical and between female and egalitarian was stronger than the association between female and hierarchical and between male and egalitarian. Additionally, men had a more pronounced implicit hierarchy gender stereotype than women.

What Does the Implicit Association Test Measure? A Test of the Convergent and Discriminant Validity of Prejudice-Related IATs

2002 ◽  
Vol 49 (3) ◽  
pp. 171-180 ◽  
Author(s):  
Bertram Gawronski
Keyword(s):  
Implicit Association Test ◽  
Discriminant Validity ◽  
Association Test ◽  
Recent Criticism ◽  
Implicit Association ◽  
East Asians ◽  
Student Sample ◽  
Convergent And Discriminant Validity ◽  
Explicit Prejudice ◽  
Turkish People

Abstract. Drawing on recent criticism of the Implicit Association Test (IAT), the present study tested the convergent and discriminant validity of two prejudice-related IATs to corresponding explicit prejudice measures in a German student sample (N = 61). Confirming convergent validity, (a) an IAT designed to assess negative associations related to Turkish people was significantly related to the explicit endorsement of prejudiced beliefs about Turkish people, and (b) an IAT designed to assess negative associations related to East Asians was significantly related to explicit prejudice against East Asians. Moreover, confirming discriminant validity, (c) the Asian IAT was unrelated to the explicit endorsement of prejudiced beliefs about Turkish people, and (d) the Turkish IAT was unrelated to explicit prejudice against Asian people. These results further corroborate the assumption that the IAT is a valid method to assess the strength of evaluative associations in the domain of prejudice and stereotypes.

Items’ Cross-Category Associations as a Confounding Factor in the Implicit Association Test

2001 ◽  
Vol 48 (2) ◽  
pp. 123-134 ◽  
Author(s):  
Melanie C. Steffens ◽  
Inga Plewe
Keyword(s):  
Implicit Association Test ◽  
Confounding Factor ◽  
Reaction Times ◽  
Association Test ◽  
The Other ◽  
Reaction Time Difference ◽  
Implicit Association ◽  
Male And Female ◽  
Research Activities ◽  
Degree Of Association

Abstract. The introduction of the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998 ) has stimulated numerous research activities. The IAT is supposed to measure the degree of association between concepts. Instances have to be assigned to these concepts by pressing appropriate keys as quickly as possible. The reaction time difference between certain conditions, termed the IAT effect, is used as an indicator of the degree of the concepts’ association. We tested the hypothesis that the degree of association between one concept (or category) and the instances of the other presented concept also influences reaction times. In our experiment, the instances in the target categories, male and female names, were kept constant. The adjectives in the evaluative categories were manipulated: Either the pleasant adjectives were female-associated and the unpleasant adjectives were male-associated, or vice versa. These stereotypic associations were indeed found to exert a substantial influence on the size of the IAT effect. This finding casts doubt on the assumption that the IAT effect may be interpreted as a pure measure of the degree of association between concepts.

Implicit Association Test: Separating Transsituationally Stable and Variable Components of Attitudes toward Gay Men

2003 ◽  
Vol 50 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Melanie C. Steffens ◽  
Axel Buchner
Keyword(s):  
Gay Men ◽  
Implicit Association Test ◽  
Structural Equation ◽  
Implicit Attitudes ◽  
Association Test ◽  
Situational Factors ◽  
Situational Factor ◽  
Equation Modeling ◽  
Implicit Attitude ◽  
Implicit Association

Implicit attitudes are conceived of as formed in childhood, suggesting extreme stability. At the same time, it has been shown that implicit attitudes are influenced by situational factors, suggesting variability by the moment. In the present article, using structural equation modeling, we decomposed implicit attitudes towards gay men into a person factor and a situational factor. The Implicit Association Test ( Greenwald, McGhee, & Schwartz, 1998 ), introduced as an instrument with which individual differences in implicit attitudes can be measured, was used. Measurement was repeated after one week (Experiment 1) or immediately (Experiment 2). Explicit attitudes towards gay men as assessed by way of questionnaires were positive and stable across situations. Implicit attitudes were relatively negative instead. Internal consistency of the implicit attitude assessment was exemplary. However, the within-situation consistency was accompanied by considerable unexplained between-situation variability. Consequently, it may not be adequate to interpret an individual implicit attitude measured at a given point in time as a person-related, trait-like factor.

Does the Name-Race Implicit Association Test Measure Racial Prejudice?

2011 ◽  
Vol 58 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Don van Ravenzwaaij ◽  
Han L. J. van der Maas ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Diffusion Model ◽  
Implicit Association Test ◽  
Alternative Explanation ◽  
Group Membership ◽  
Racial Prejudice ◽  
Decision Time ◽  
Association Test ◽  
Implicit Association ◽  
Model Decomposition ◽  
Test Measure

Research using the Implicit Association Test (IAT) has shown that names labeled as Caucasian elicit more positive associations than names labeled as non-Caucasian. One interpretation of this result is that the IAT measures latent racial prejudice. An alternative explanation is that the result is due to differences in in-group/out-group membership. In this study, we conducted three different IATs: one with same-race Dutch names versus racially charged Moroccan names; one with same-race Dutch names versus racially neutral Finnish names; and one with Moroccan names versus Finnish names. Results showed equivalent effects for the Dutch-Moroccan and Dutch-Finnish IATs, but no effect for the Finnish-Moroccan IAT. This suggests that the name-race IAT-effect is not due to racial prejudice. A diffusion model decomposition indicated that the IAT-effects were caused by changes in speed of information accumulation, response conservativeness, and non-decision time.

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