I. Introduction
a. The Implicit Association Test (IAT) is to measure attitudes and beliefs that individuals may be unwilling or unable to be aware of. The IAT can be especially engaging if the results show that an individual may have an implicit attitude that they were unaware of. For an example, someone may consider men and women as equals in association with obligations; however, their initial, automatic associations could show that they, like many, associate men as more career-oriented and women as more family-oriented. The IAT measurements are able to display the strength of these associations between concepts, evaluations, as well as stereotypes. The central idea is to make the individual aware of these responses when closely related …show more content…
Sub-theme – narrow but grouped findings related to the theme
i. Brevers et al. (2013) used IATs to analyze attitudes towards gambling in the era of deregulated behaviors. This study examined whether consistent gamblers exhibit both positive and negative implicit attitudes towards a gambling-related stimulus. Participants were twenty-five problem gamblers and twenty-five non-gamblers participants. Their results connected positive implicit gambling associations in problem gamblers but not negative when implicit associations with gambling were assessed to neutral words. ii. A study, conducted by Seedat et al. (2009) looked at gender differences in mental disorders, including anxiety and mood disorders. Their total sample size was 72,933 individuals across six countries. The result showed females generally had more anxiety and mood disorders than males; however, males generally had more externalizing as well as substance disorders than females. Although these gender differences were mostly consistent across cohorts, significant narrowing was found in modern cohorts for major depressive disorder and substance disorders. This consolidation was significantly relevant to temporal (major depressive disorder) and spatial (substance disorders) variation in the traditonality of gender …show more content…
What are the contributions of this literature to the field?
a. Overall strengths of IATs can be utilized with the outlook in a society setting. As seen in most establishments today, there is a strong emphasis on a collaborative mentality than there is on being really good at what you do. Therefore, the IAT is a useful tool to determine if an applicant is able to fit this collaborative culture of the employer. Since strong relationships with co-workers has more to do with feelings rather than an actual fact, the IAT is a great advantage over standardized tests because they create opportunities for interpretation.
b. On the other hand, the overall weaknesses of IATs is that they rely on the interpretation of a specialist who are performing the test; which means that negative emotions like having a difficult day on behalf of the experimenter is unable to be dismissed. Therefore, it is for this reason that its direct outcome is highly controversial for use in valuation, because the goal of science is to systematize data and to make it increasingly more objective. Interpretations of scientists can break
a. The Implicit Association Test (IAT) is to measure attitudes and beliefs that individuals may be unwilling or unable to be aware of. The IAT can be especially engaging if the results show that an individual may have an implicit attitude that they were unaware of. For an example, someone may consider men and women as equals in association with obligations; however, their initial, automatic associations could show that they, like many, associate men as more career-oriented and women as more family-oriented. The IAT measurements are able to display the strength of these associations between concepts, evaluations, as well as stereotypes. The central idea is to make the individual aware of these responses when closely related …show more content…
Sub-theme – narrow but grouped findings related to the theme
i. Brevers et al. (2013) used IATs to analyze attitudes towards gambling in the era of deregulated behaviors. This study examined whether consistent gamblers exhibit both positive and negative implicit attitudes towards a gambling-related stimulus. Participants were twenty-five problem gamblers and twenty-five non-gamblers participants. Their results connected positive implicit gambling associations in problem gamblers but not negative when implicit associations with gambling were assessed to neutral words. ii. A study, conducted by Seedat et al. (2009) looked at gender differences in mental disorders, including anxiety and mood disorders. Their total sample size was 72,933 individuals across six countries. The result showed females generally had more anxiety and mood disorders than males; however, males generally had more externalizing as well as substance disorders than females. Although these gender differences were mostly consistent across cohorts, significant narrowing was found in modern cohorts for major depressive disorder and substance disorders. This consolidation was significantly relevant to temporal (major depressive disorder) and spatial (substance disorders) variation in the traditonality of gender …show more content…
What are the contributions of this literature to the field?
a. Overall strengths of IATs can be utilized with the outlook in a society setting. As seen in most establishments today, there is a strong emphasis on a collaborative mentality than there is on being really good at what you do. Therefore, the IAT is a useful tool to determine if an applicant is able to fit this collaborative culture of the employer. Since strong relationships with co-workers has more to do with feelings rather than an actual fact, the IAT is a great advantage over standardized tests because they create opportunities for interpretation.
b. On the other hand, the overall weaknesses of IATs is that they rely on the interpretation of a specialist who are performing the test; which means that negative emotions like having a difficult day on behalf of the experimenter is unable to be dismissed. Therefore, it is for this reason that its direct outcome is highly controversial for use in valuation, because the goal of science is to systematize data and to make it increasingly more objective. Interpretations of scientists can break