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The Mechanisms of the Temporal Release from Proactive InterferenceLindsey, Dakota Roy Bailey 08 August 2014 (has links)
The release from proactive interference (PI) is a well-studied phenomenon, but its cause is elusive. When a release in PI is caused by changes in the content of to-be-remembered items, the more accurate retrieval is likely a result of changes in context (Watkins & Watkins, 1975). However, changes in context do not readily explain the cause of PI release resulting from a temporal delay. Instead, it could be that during the delay subjects disengage from intrusive information from previous trials. The ability to disengage from no-longer-relevant information is related to fluid intelligence (Gf). I predicted that this ability to disengage, as defined by fluid intelligence, is the driving factor of the time-based release from PI. In order to test this prediction, I administered a free recall task to individuals of high and low Gf. The time between the last two lists was lengthened to cause release. The time manipulation did not cause a release from PI; essentially, this result represents a failure to replicate. Limitations of the study and potential methodological issues are discussed.
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Learned Helplessness: Effect on Working Memory and Fluid IntelligenceFernandez, Peter, 1961- 08 1900 (has links)
To determine if learned helplessness treatment debilitates human working memory and fluid intelligence, 60 university students, classified as high or low self-monitors, were assigned to one of three treatments: intermittent (50%) controllable positive feedback, uncontrollable (yoked) negative feedback, and no treatment. Test tasks included backward digit and backward spatial span (representing working memory), matrices (representing fluid intelligence), vocabulary (representing crystallized intelligence), and forward digit and forward spatial span (representing immediate span of apprehension). Results generally were not significant and were discussed as possibly due to ineffective treatment procedure. Further research on this topic is needed.
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A Mechanistic Account of the Relation between Working Memory Capacity and Fluid IntelligenceJanuary 2018 (has links)
abstract: Working memory capacity and fluid intelligence are important predictors of performance in educational settings. Thus, understanding the processes underlying the relation between working memory capacity and fluid intelligence is important. Three large scale individual differences experiments were conducted to determine the mechanisms underlying the relation between working memory capacity and fluid intelligence. Experiments 1 and 2 were designed to assess whether individual differences in strategic behavior contribute to the variance shared between working memory capacity and fluid intelligence. In Experiment 3, competing theories for describing the underlying processes (cognitive vs. strategy) were evaluated in a comprehensive examination of potential underlying mechanisms. These data help inform existing theories about the mechanisms underlying the relation between WMC and gF. However, these data also indicate that the current theoretical model of the shared variance between WMC and gF would need to be revised to account for the data in Experiment 3. Possible sources of misfit are considered in the discussion along with a consideration of the theoretical implications of observing those relations in the Experiment 3 data. / Dissertation/Thesis / Doctoral Dissertation Psychology 2018
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Fluid intelligence measurements of mothers and partners in Boston Medical Center's inner-city populationChan, Hayley 11 June 2019 (has links)
BACKGROUND: Intelligence, as a measure of cognitive ability, is influenced by genetics and environment. Fluid intelligence, as an aspect of general intelligence, describes the ability to solve novel problems and is less reliant on previous knowledge and experience compared to other aspects of intelligence. Fluid intelligence is a particular useful indicator in studies of diverse populations, as fluid intelligence indicators are less likely than indicators of other aspects of intelligence to be significantly influenced by cultural factors, educational level, and language. Although fluid intelligence was previously thought to be primarily modulated by genetics, recent studies have shown that environment and its many factors have a greater role in shaping this aspect of cognition. Factors associated with a low-income environment, including dietary habits, are of interest when investigating effects on fluid intelligence in mothers from a low socioeconomic status population.
METHODS: Participants were used from the Transgenerational Health Research InitiatiVE at Boston Medical Center. The Automated Self-Administered 24-Hour Dietary Assessment Tool online reporting questionnaire was used to collect self-reported dietary intake from mothers two times during participation in the study, once prenatally and once postpartum. The Weschler Abbreviated Scale of Intelligence Second Edition subtests of matrix reasoning and block design were used to assess fluid intelligence and were administered either prenatally or postpartum. A paired t-test was performed for determining statistical significance of fatty acid intake in the prenatal period versus postpartum period. Regression analysis was performed using stepwise selection to measure the correlation between fluid intelligence composite scores and fatty acid intake.
RESULTS: No significant correlation was found between fluid intelligence composite scores and dietary intake of stearic, oleic, linoleic, and linolenic acid. Significant differences were found between prenatal and postpartum intake of oleic acid (omega-9) (p=0.0325) and linolenic acid (omega-3) (p=0.0065).
CONCLUSION: The findings from this study suggest no correlation between fluid intelligence composite scores and dietary intake of stearic, oleic, linoleic, and linolenic acid. However, the findings do suggest a significant difference between prenatal and postpartum dietary intake of oleic (omega-9) and linolenic (omega-3) acid. Repeating this study on a larger sample population with complete data (demographics, diet intake, and fluid intelligence) could provide additional evidence for a correlation between fatty acid intake and fluid intelligence.
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Measuring group differences using a model of test anxiety, fluid intelligence and attentional resourcesBosch, Anelle, 1982- 06 1900 (has links)
Literature reports that test anxiety may have an influence on aptitude test
performance for some racial groups and therefore serves as a source of bias
(Zeidner, 1998). Testing organisations have also found that individuals from
African groups perform poorly on measures of fluid intelligence, putting them
at a disadvantage when these scores are used for selection and training
purposes. The current study examines a model defining the relationship
between test anxiety, attentional resources and fluid intelligence in the
following manner: an increase in test anxiety will result in a decrease of
attentional resources as well as a decrease in fluid intelligence. With a
decrease in attentional resources we will see a negative influence on fluid
intelligence and test performance for different racial groups. Twenty-five African individuals and twenty-five individuals from Caucasian
racial groups have set the stage to answer the question if certain groups
experience higher test anxiety and thus perform poorly on fluid intelligence
measures. Significant relationships were found, within and between groups,
for attentional resources and fluid intelligence. Meanwhile, other factors, such
as test anxiety, were not strongly associated with fluid intelligence
performance. Future research into reasons why certain racial groups display
lower overall attention in testing situations is suggested in order to ensure that
tests for selection and training and aptitude tests are fair to all racial groups. / Psychology / M.A. Soc. Sc.(Psychology)
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Hope, social support, intelligence, and academic performance of first year students at a higher education institution / Kevin JoosteJooste, Kevin Jonathan January 2012 (has links)
Higher education systems are imperative to social and economic upliftment in any society,
the ability of the national labour force and income disparity differentials between members of
the populous are directly associated to academic achievement and associated pass rates in higher education. The apparent utility of higher education is however overshadowed by poor student retention, academic performance and consequent pass rates and is an issue of concern at both an international and local level. The identification of factors that could potentially improve student academic performance and consequent attainment of a tertiary qualification is becoming an increasingly important field of research. Research into such factors would have wide reaching implications in South Africa, where high unemployment rates and talent migration plague efforts to build a strong national economy. The primary imperatives of this research undertaking were to investigate the relationship between hope, social support, fluid intelligence and academic achievement in the form of grade point average (GPA), as well as determine the extent to which hope and social support moderate the relationship between fluid intelligence and GPA. The research method is comprised of a literature review and empirical study. Data collection was conducted via a cross-sectional survey design, with an availability sample (N = 308) being taken from first year students at a higher educational institution. The Hope Scale (HS), Multidimensional Scale of Perceived Social Support (MSPSS), Abstract Reasoning Test (ART) and biographical questionnaire were administered. Statistical analysis was carried out with the SPSS 20.0 programme. Principle component factor analysis provided confirmation of a four factor structure for the MSPSS, with the resultant factors being labelled Friend Support, Significant Other Support, Family Support and Lecturer Support. In this study the original 3 factor structure of the MSPSS was supplemented by adding the fourth dimension of lecturer support. A two factor structure for the HS was confirmed, with the resultant factors being labelled Agency Hope and Pathways Hope. All utilised scales indicated acceptable levels of reliability, with the resultant Cronbach alpha statistics ranging from 0,75 to 0,89. Pearson correlation coefficient correlations gave indication of a statistically and practically significant correlation of positive medium effect between fluid intelligence and grade point average. Social support from lecturers showed statistically and practically significant correlations of medium effect with social support from friends. Pathways hope was statistically and practically related to agency hope with a positive medium effect. No practically significant relations in this sample could be established between hope and grade point average and social support and grade point average. Statistically significant relations were established between lecturer social support and fluid intelligence and between agency hope and social support from significant other sources. The ability of fluid intelligence to predict grade point average was proven via regression analysis in which fluid intelligence was found to be a statistically significant predictor of grade point average. Proposed moderating effects of hope and social support on the relation between fluid intelligence and grade point average were tested via multiple regression analysis. Results indicated that within the parameters of the research sample in this study, no statistically significant moderating effects could be established for hope or social support. Based on these findings, a hypothesised cause for such relations was established based on the characteristics of the current research sample and research literature. Recommendations for future research were made, as well as organisational recommendations for the participating higher educational facility. / MA, Industrial Psychology, North-West University, Vaal Triangle Campus, 2012
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Standardization of a Memory Test with an Elderly PopulationTsang, Michael Hing-pui 08 1900 (has links)
The Aronson Shopping List is a short-term memory test which integrates current knowledge of brain-behavior relationships in assessment. The test was designed to detect deficiency in fluid intelligence. The goal of this study was to standardize the test on an elderly population. The sample was composed of 67 males and females whose ages ranged from 62 to 89 years. It was found that recent stressful events did not account for variation of performance on the ASL. The reliability of the test, established by means of a test and alternate form retest procedure, was found to be .70 after an average of eleven months. Percentiles are presented indicating performance comparisons. Further experimentation would be needed to establish whether the test would be useful to designate organic brain pathology.
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Fluid ability, crystallized ability, and performance across multiple domains: a meta-analysisPostlethwaite, Bennett Eugene 01 July 2011 (has links)
Cognitive ability is one of the most frequently investigated individual differences in management and psychology. Countless studies have demonstrated that tests measuring cognitive ability or intelligence predict a number of important real-world outcomes such as academic performance, vocational training performance, and job performance. Although the relationship between intelligence and real-world performance is well established, there is a lack of consensus among scholars with regard to how intelligence should be conceptualized and measured. Of the more traditional theories of intelligence, two perspectives are particularly dominant: the Cattell-Horn model of fluid and crystallized intelligence and the theory of General Cognitive Ability (GCA or g). Fluid ability (Gf) represents novel or abstract problem solving capability and is believed to have a physiological basis. In contrast, crystallized ability (Gc) is associated with learned or acculturated knowledge. Drawing on recent research in neuroscience, as well as research on past performance, the nature of work, and expert performance, I argue that compared to measures of fluid ability, crystallized ability measures should more strongly predict real-world criteria in the classroom as well as the workplace. This idea was meta-analytically examined using a large, diverse set of over 400 primary studies spanning the past 100 years. With regard to academic performance, measures of fluid ability were found to positively predict learning (as measured by grades). However, as hypothesized, crystallized ability measures were found to be superior predictors of academic performance compared to their fluid ability counterparts. This finding was true for both high school and college students. Likewise, similar patterns of results were observed with regard to both training performance and job performance. Again, crystallized ability measures were found to be better predictors of performance than fluid measures. This finding was consistent at the overall level of analysis as well as for medium complexity jobs. These findings have important implications for both intelligence theory and selection practice.
Contemporary intelligence theory has placed great emphasis on the role of fluid ability, and some researchers have argued that Gf and g are essentially the same construct. However, the results of this study, which are based on criterion-related validities rather than factor-analytic evidence, demonstrate that Gc measures are superior predictors in comparison to Gf measures. This is contrary to what one would expect if Gf and g were indeed the same construct. Rather, the findings of this study are more consistent with General Cognitive Ability theory, which predicts that Gc indicators will be the best predictors of future learning and performance. Given that Gc measures demonstrate higher criterion-related validities than Gf measures, Gc measures are likely to be preferred for selection purposes. Further, Gf scores are known to decline with age while Gc scores remain relatively stable over the lifespan. Thus, when used for selection purposes, Gf tests may underpredict the performance of older workers. In contrast, research has shown that Gc measures are predictively unbiased. Additional implications for theory and practice are discussed, along with study limitations and opportunities for future research.
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The common elements of working memory capacity and fluid intelligence: primary memory, secondary memory and executive attentionShipstead, Zachary M. 16 August 2012 (has links)
Working memory is a mental system that is related to cognitive control and higher cognition. Although the topic of working memory is well researched, there is a great deal of debate about the mechanisms that drive individual differences in working memory capacity. Moreover, little is known about the direct relationships between different types of working memory tasks. The present study uses structural equation modeling to examine three varieties of working memory task: The complex span, running memory span, and visual arrays. It is found that, while complex and running span performance is directly predicted by immediate memory and retrieval from long-term memory, visual arrays is directly predicted by attention control. Despite these differences, all tasks are found to be united by executive attention, which is conceptualized as an executive process that is apparent across several types of attention and memory task. A second analysis examines the relationship between working memory and general fluid intelligence. It is concluded that, while executive attention accounts for the largest portion of the correlation between working memory and fluid intelligence, immediate memory and retrieval from long term memory are also critical to explaining this relationship.
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Hope, social support, intelligence, and academic performance of first year students at a higher education institution / Kevin JoosteJooste, Kevin Jonathan January 2012 (has links)
Higher education systems are imperative to social and economic upliftment in any society,
the ability of the national labour force and income disparity differentials between members of
the populous are directly associated to academic achievement and associated pass rates in higher education. The apparent utility of higher education is however overshadowed by poor student retention, academic performance and consequent pass rates and is an issue of concern at both an international and local level. The identification of factors that could potentially improve student academic performance and consequent attainment of a tertiary qualification is becoming an increasingly important field of research. Research into such factors would have wide reaching implications in South Africa, where high unemployment rates and talent migration plague efforts to build a strong national economy. The primary imperatives of this research undertaking were to investigate the relationship between hope, social support, fluid intelligence and academic achievement in the form of grade point average (GPA), as well as determine the extent to which hope and social support moderate the relationship between fluid intelligence and GPA. The research method is comprised of a literature review and empirical study. Data collection was conducted via a cross-sectional survey design, with an availability sample (N = 308) being taken from first year students at a higher educational institution. The Hope Scale (HS), Multidimensional Scale of Perceived Social Support (MSPSS), Abstract Reasoning Test (ART) and biographical questionnaire were administered. Statistical analysis was carried out with the SPSS 20.0 programme. Principle component factor analysis provided confirmation of a four factor structure for the MSPSS, with the resultant factors being labelled Friend Support, Significant Other Support, Family Support and Lecturer Support. In this study the original 3 factor structure of the MSPSS was supplemented by adding the fourth dimension of lecturer support. A two factor structure for the HS was confirmed, with the resultant factors being labelled Agency Hope and Pathways Hope. All utilised scales indicated acceptable levels of reliability, with the resultant Cronbach alpha statistics ranging from 0,75 to 0,89. Pearson correlation coefficient correlations gave indication of a statistically and practically significant correlation of positive medium effect between fluid intelligence and grade point average. Social support from lecturers showed statistically and practically significant correlations of medium effect with social support from friends. Pathways hope was statistically and practically related to agency hope with a positive medium effect. No practically significant relations in this sample could be established between hope and grade point average and social support and grade point average. Statistically significant relations were established between lecturer social support and fluid intelligence and between agency hope and social support from significant other sources. The ability of fluid intelligence to predict grade point average was proven via regression analysis in which fluid intelligence was found to be a statistically significant predictor of grade point average. Proposed moderating effects of hope and social support on the relation between fluid intelligence and grade point average were tested via multiple regression analysis. Results indicated that within the parameters of the research sample in this study, no statistically significant moderating effects could be established for hope or social support. Based on these findings, a hypothesised cause for such relations was established based on the characteristics of the current research sample and research literature. Recommendations for future research were made, as well as organisational recommendations for the participating higher educational facility. / MA, Industrial Psychology, North-West University, Vaal Triangle Campus, 2012
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