The increasing relevance to adapt quickly to changes in the environment is contrasted by an inverted U-shaped curve of task-switching abilities over the lifespan. While previous studies most commonly focused on switching between rules, modalities, and attributes, the process of switching between different attentional demands is somehow neglected. Therefore, the present study aims to fill this gap by applying a recently introduced paradigm on switching between attentional demands to younger and older adults. Within the present study, 116 younger adults (age: minmax: 18-30, M=22.31 years, SD=3.17; 85 women) and 93 older adults (age: minmax: 60-89, M=68.29 years, SD=6.18; 15 women) completed the Switching Attentional Demands-task (SwAD-task). The task enables to quantify single-task performance of selective and divided attention, but more important the ability of switching between these demands. Findings indicate faster response times in selective attention than divided attention for both groups. Furthermore, older adults showed longer response times in selective attention, divided attention, as well as switching attention, compared to their younger counterparts. Age-related changes are discussed by considering the frontal ageing hypothesis, processing-speed theory, as well as common factor theories of cognitive ageing. Furthermore, previous neurophysiological findings are taken into account to explain findings at hand.
{"title":"Switching Between Attentional Demands – A Brief Report Comparing Findings from Younger and Older Adults","authors":"M. Liebherr, S. Antons, M. Brand","doi":"10.24193/cbb.2021.25.12","DOIUrl":"https://doi.org/10.24193/cbb.2021.25.12","url":null,"abstract":"The increasing relevance to adapt quickly to changes in the environment is contrasted by an inverted U-shaped curve of task-switching abilities over the lifespan. While previous studies most commonly focused on switching between rules, modalities, and attributes, the process of switching between different attentional demands is somehow neglected. Therefore, the present study aims to fill this gap by applying a recently introduced paradigm on switching between attentional demands to younger and older adults. Within the present study, 116 younger adults (age: minmax: 18-30, M=22.31 years, SD=3.17; 85 women) and 93 older adults (age: minmax: 60-89, M=68.29 years, SD=6.18; 15 women) completed the Switching Attentional Demands-task (SwAD-task). The task enables to quantify single-task performance of selective and divided attention, but more important the ability of switching between these demands. Findings indicate faster response times in selective attention than divided attention for both groups. Furthermore, older adults showed longer response times in selective attention, divided attention, as well as switching attention, compared to their younger counterparts. Age-related changes are discussed by considering the frontal ageing hypothesis, processing-speed theory, as well as common factor theories of cognitive ageing. Furthermore, previous neurophysiological findings are taken into account to explain findings at hand.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76320388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Anticipatory Anxiety (AA) is defined as a course of thoughts, feelings, and actions occurring just and only "before" an anxiety-provoking event. In order to explore this construct, the Anticipation Anxiety Inventory (AAI) was developed and its psychometric properties have been investigated in two studies. Methods: Study 1 used an Exploratory Factor Analysis approach to determine the factor structure of the items of the scale. In study 2, a Confirmatory Factor Analysis was performed to assess the scale structure, the validity of the factor solution, and convergent and discriminatory validity. Results: Exploratory factor analysis from study 1 suggested 13 items across four factors for the AAI: Emotional Hypersensitivity, Physical responses to AA, Dysfunctional Cognitions, and Daily Functioning. In study 2, the Confirmatory Factor Analysis indicated that the 4-factor solution of the AAI had an acceptable fit, excellent internal consistency (α= 0.92), and displayed good convergent and discriminatory validity. Conclusion: The AAI could be proposed as a useful valid and reliable tool to investigate AA. For future implications, more research is needed regarding the utility of this measure in experimental designs or clinical settings.
{"title":"Development and psychometric properties of the Anticipatory Anxiety Inventory","authors":"Simge Vural, N. Ferreira","doi":"10.24193/cbb.2021.25.14","DOIUrl":"https://doi.org/10.24193/cbb.2021.25.14","url":null,"abstract":"Background: Anticipatory Anxiety (AA) is defined as a course of thoughts, feelings, and actions occurring just and only \"before\" an anxiety-provoking event. In order to explore this construct, the Anticipation Anxiety Inventory (AAI) was developed and its psychometric properties have been investigated in two studies. Methods: Study 1 used an Exploratory Factor Analysis approach to determine the factor structure of the items of the scale. In study 2, a Confirmatory Factor Analysis was performed to assess the scale structure, the validity of the factor solution, and convergent and discriminatory validity. Results: Exploratory factor analysis from study 1 suggested 13 items across four factors for the AAI: Emotional Hypersensitivity, Physical responses to AA, Dysfunctional Cognitions, and Daily Functioning. In study 2, the Confirmatory Factor Analysis indicated that the 4-factor solution of the AAI had an acceptable fit, excellent internal consistency (α= 0.92), and displayed good convergent and discriminatory validity. Conclusion: The AAI could be proposed as a useful valid and reliable tool to investigate AA. For future implications, more research is needed regarding the utility of this measure in experimental designs or clinical settings.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"2001 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72620875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Computational modeling and brain imaging studies suggest that sensitivity to rewards and behaviorist learning principles partly explain smartphone engagement patterns and potentially smartphone dependence. Responses to a questionnaire, and observational measures of smartphone use were recorded for 121 university students. Each participant was also tested with a laboratory task of reward sensitivity and a test of verbal operant conditioning. Twenty-three percent of the sample had probable smartphone addiction. Using multivariate regression, smartphone use, particularly the number of instant messenger services employed, was shown to be significantly and independently predicted by reward sensitivity (a positive relationship), and by instrumental conditioning (a negative relationship). However, the latter association was driven by a subset of participants who developed declarative knowledge of the response-reinforcer contingency. This suggests a process of impression management driven by experimental demand characteristics, producing goal-directed instrumental behavior not habit-based learning. No other measures of smartphone use, including the self-report scale, were significantly associated with the experimental tasks. We conclude that stronger engagement with smartphones, in particular instant messenger services, may be linked to people being more sensitive to rewarding stimuli, suggestive of a motivational or learning mechanism. We propose that this mechanism could underly problem smartphone use and dependence. It also potentially explains why some aspects of smartphone use, such as habitual actions, appear to be poorly measured by technology-use questionnaires. A serendipitous secondary finding confirmed that smartphone use reflected active self-presentation. Our ‘conditioning’ task-induced this behavior in the laboratory and could be used in social-cognition experimental studies.
{"title":"Sensitivity to financial rewards and impression management links to smartphone use and dependence","authors":"Graham Pluck, Pablo Emilio Barrera Falconi","doi":"10.24193/cbb.2021.25.06","DOIUrl":"https://doi.org/10.24193/cbb.2021.25.06","url":null,"abstract":"Computational modeling and brain imaging studies suggest that sensitivity to rewards and behaviorist learning principles partly explain smartphone engagement patterns and potentially smartphone dependence. Responses to a questionnaire, and observational measures of smartphone use were recorded for 121 university students. Each participant was also tested with a laboratory task of reward sensitivity and a test of verbal operant conditioning. Twenty-three percent of the sample had probable smartphone addiction. Using multivariate regression, smartphone use, particularly the number of instant messenger services employed, was shown to be significantly and independently predicted by reward sensitivity (a positive relationship), and by instrumental conditioning (a negative relationship). However, the latter association was driven by a subset of participants who developed declarative knowledge of the response-reinforcer contingency. This suggests a process of impression management driven by experimental demand characteristics, producing goal-directed instrumental behavior not habit-based learning. No other measures of smartphone use, including the self-report scale, were significantly associated with the experimental tasks. We conclude that stronger engagement with smartphones, in particular instant messenger services, may be linked to people being more sensitive to rewarding stimuli, suggestive of a motivational or learning mechanism. We propose that this mechanism could underly problem smartphone use and dependence. It also potentially explains why some aspects of smartphone use, such as habitual actions, appear to be poorly measured by technology-use questionnaires. A serendipitous secondary finding confirmed that smartphone use reflected active self-presentation. Our ‘conditioning’ task-induced this behavior in the laboratory and could be used in social-cognition experimental studies.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81604081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research of the theory of mind (ToM) has long been a central topic in cognitive science and experimental philosophy. A preliminary example of a Moore-paradox sentence would be: It is raining, but I don’t think it is. Understanding the paradoxes in these sentences is considered part of ToM development. This study focuses on the recognition of Moore’s paradoxical sentences by monolingual and bilingual children. According to the first hypothesis, comprehension of Moore-paradoxical sentences is estimated to start at the age of 7. The second hypothesis assumes that balanced bilingual children develop the ability to understand Moore-paradoxical sentences earlier than Hungarian dominant bilinguals, and balanced bilinguals also outperform their monolingual peers. Romanian monolingual and Hungarian-Romanian bilingual children aged between 5 and 8 (N = 134) participated in the experiment. Balanced and dominant bilingual groups were established based on a questionnaire filled in by the children’s parents. During the experiment, children had to listen to a number of sentences. Each sentence that contained paradoxical statements had control sentences matching syntactically. Children had to choose the sentences they thought to be “silly”. According to the experimental findings, 5- and 6-year-old children performed poorly while the overwhelming majority of 7- and 8-year-olds could select the Moore-paradoxical sentences. There were differences between the performance of monolingual and balanced bilingual groups and between the two bilingual groups. Balanced bilinguals performed better, and their comprehension of understanding Moorean sentences developed earlier than those of the other groups.
{"title":"Monolingual and bilingual children’s understanding of Moore-paradox sentences","authors":"K. Bartha","doi":"10.24193/cbb.2021.25.07","DOIUrl":"https://doi.org/10.24193/cbb.2021.25.07","url":null,"abstract":"Research of the theory of mind (ToM) has long been a central topic in cognitive science and experimental philosophy. A preliminary example of a Moore-paradox sentence would be: It is raining, but I don’t think it is. Understanding the paradoxes in these sentences is considered part of ToM development. This study focuses on the recognition of Moore’s paradoxical sentences by monolingual and bilingual children. According to the first hypothesis, comprehension of Moore-paradoxical sentences is estimated to start at the age of 7. The second hypothesis assumes that balanced bilingual children develop the ability to understand Moore-paradoxical sentences earlier than Hungarian dominant bilinguals, and balanced bilinguals also outperform their monolingual peers. Romanian monolingual and Hungarian-Romanian bilingual children aged between 5 and 8 (N = 134) participated in the experiment. Balanced and dominant bilingual groups were established based on a questionnaire filled in by the children’s parents. During the experiment, children had to listen to a number of sentences. Each sentence that contained paradoxical statements had control sentences matching syntactically. Children had to choose the sentences they thought to be “silly”. According to the experimental findings, 5- and 6-year-old children performed poorly while the overwhelming majority of 7- and 8-year-olds could select the Moore-paradoxical sentences. There were differences between the performance of monolingual and balanced bilingual groups and between the two bilingual groups. Balanced bilinguals performed better, and their comprehension of understanding Moorean sentences developed earlier than those of the other groups.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81607045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To date, little is known about the short-term dynamics of perfectionism in undergraduate students, especially in certain potentially activating contexts, such as the proximity of the exam session. The aim of the present study was to address this methodological limitation and literature gap by conducting a latent growth curve model analysis of students’ perfectionistic concerns and strivings in the proximity of exams, to detect and explain the potential heterogeneity in their growth trajectories. The study sample consisted of 242 undergraduate students who participated at four-time points (228 at T0, 171 at T1, 225 at T2, and 146 at T3), spaced four weeks apart, between the beginning of the first academic semester and the beginning of the exam session. The results showed that while perfectionistic concerns displayed a significant overall growth trajectory during this period of time, perfectionistic strivings were rather stable personality traits, less dependent on contextual factors. Regarding the individual differences in perfectionism dimensions, the findings showed that there was a significant inter-individual variability around both the initial level and the overall growth trajectory of perfectionistic concerns. However, only the perceived teachers' expectations explained significantly part of the variations around the initial level of perfectionistic concerns.
{"title":"The evolution of perfectionistic concerns and strivings in the proximity of exams: Evidence from a short-term longitudinal study","authors":"S. Burcaș, R. Crețu","doi":"10.24193/cbb.2021.25.09","DOIUrl":"https://doi.org/10.24193/cbb.2021.25.09","url":null,"abstract":"To date, little is known about the short-term dynamics of perfectionism in undergraduate students, especially in certain potentially activating contexts, such as the proximity of the exam session. The aim of the present study was to address this methodological limitation and literature gap by conducting a latent growth curve model analysis of students’ perfectionistic concerns and strivings in the proximity of exams, to detect and explain the potential heterogeneity in their growth trajectories. The study sample consisted of 242 undergraduate students who participated at four-time points (228 at T0, 171 at T1, 225 at T2, and 146 at T3), spaced four weeks apart, between the beginning of the first academic semester and the beginning of the exam session. The results showed that while perfectionistic concerns displayed a significant overall growth trajectory during this period of time, perfectionistic strivings were rather stable personality traits, less dependent on contextual factors. Regarding the individual differences in perfectionism dimensions, the findings showed that there was a significant inter-individual variability around both the initial level and the overall growth trajectory of perfectionistic concerns. However, only the perceived teachers' expectations explained significantly part of the variations around the initial level of perfectionistic concerns.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75965051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. A. Suhail, K. Indiradevi, Ekkarakkudy Makkar Suhara, P. A. Suresh, Ayyappan Anitha, Shoranur Kerala India Cognitive Neurosciences
Detecting cognitive states during learning tasks is an essential component in neurocognitive experiments for assessing and enhancing the cognitive performance of individuals. Studies have demonstrated that mental state recognition systems utilizing brain signals are proficient in the automated monitoring of learners’ cognitive states. The current study focuses on developing an efficient individualized and cross-subject cognitive state assessment model based on Electroencephalography (EEG) patterns during learning tasks. For this study, EEGs of 20 healthy subjects were recorded during a resting state followed by a learning task and examined EEG activations patterns in a wide perspective of feature types and rhythms. The extracted features included time-domain features such as Hjorth parameters, Wavelet-based features, and Spectral entropy. Three classifiers, Support Vector Machine, k-Nearest Neighbor, and Linear Discriminant Analysis were employed to recognize the mental state. A new EEG-based attention index using band ratios is proposed and is demonstrated as an effective predictor for recognizing attentive reading. The proposed model can yield recognition performance with an accuracy of 92.9% in the subject-dependent approach and 77.2% in the subject-independent approach with the Support Vector Machine Classifier. The findings are useful for the design and development of neurofeedback systems that monitor and enhance the cognitive performance in healthy individuals, as well as in individuals with cognitive deficits.
{"title":"Electroencephalography based detection of cognitive state during learning tasks: An extensive approach","authors":"T. A. Suhail, K. Indiradevi, Ekkarakkudy Makkar Suhara, P. A. Suresh, Ayyappan Anitha, Shoranur Kerala India Cognitive Neurosciences","doi":"10.24193/cbb.2021.25.08","DOIUrl":"https://doi.org/10.24193/cbb.2021.25.08","url":null,"abstract":"Detecting cognitive states during learning tasks is an essential component in neurocognitive experiments for assessing and enhancing the cognitive performance of individuals. Studies have demonstrated that mental state recognition systems utilizing brain signals are proficient in the automated monitoring of learners’ cognitive states. The current study focuses on developing an efficient individualized and cross-subject cognitive state assessment model based on Electroencephalography (EEG) patterns during learning tasks. For this study, EEGs of 20 healthy subjects were recorded during a resting state followed by a learning task and examined EEG activations patterns in a wide perspective of feature types and rhythms. The extracted features included time-domain features such as Hjorth parameters, Wavelet-based features, and Spectral entropy. Three classifiers, Support Vector Machine, k-Nearest Neighbor, and Linear Discriminant Analysis were employed to recognize the mental state. A new EEG-based attention index using band ratios is proposed and is demonstrated as an effective predictor for recognizing attentive reading. The proposed model can yield recognition performance with an accuracy of 92.9% in the subject-dependent approach and 77.2% in the subject-independent approach with the Support Vector Machine Classifier. The findings are useful for the design and development of neurofeedback systems that monitor and enhance the cognitive performance in healthy individuals, as well as in individuals with cognitive deficits.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83792867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Călinici, Tudor Călinici, Robert Balaszi, Mircea Miclea
Theoretical models of ability-based emotional intelligence (EI) present the ability to regulate other’s emotion as part of the emotion regulation facet, but in existing ability-based self-report EI measures, this ability is often not evaluated (e.g., Wong and Law Emotional Intelligence Scale, WLEIS, 2004) or is evaluated as a separate facet, in the work context (e.g., Workgroup Emotional Intelligence Profile WEIP-3, 2002). This consideration led to the development of a new self-report EI measure to assess EI abilities (Cluj Emotional Intelligence Scale, CEIS); the process of development and validation is presented in the current paper, across four different studies. Study 1 (n = 218) used item- analysis and exploratory factor analysis to select relevant items. Study 2 (n = 215) tested the factorial structure, convergent and discriminant validity and test-retest reliability (in sub-sample n = 75). Study 3 (n = 164) cross-validates the factorial structure and assesses concurrent validity of new instrument with well-being. Study 4 (n= 136) presents the translation of the new instrument from its original Romanian language into English and the evaluation of its psychometric properties.
{"title":"Development and validation of a new ability-based measure of emotional intelligence: Cluj Emotional Intelligence Scale CEIS","authors":"M. Călinici, Tudor Călinici, Robert Balaszi, Mircea Miclea","doi":"10.24193/CBB.2020.24.18","DOIUrl":"https://doi.org/10.24193/CBB.2020.24.18","url":null,"abstract":"Theoretical models of ability-based emotional intelligence (EI) present the ability to regulate other’s emotion as part of the emotion regulation facet, but in existing ability-based self-report EI measures, this ability is often not evaluated (e.g., Wong and Law Emotional Intelligence Scale, WLEIS, 2004) or is evaluated as a separate facet, in the work context (e.g., Workgroup Emotional Intelligence Profile WEIP-3, 2002). This consideration led to the development of a new self-report EI measure to assess EI abilities (Cluj Emotional Intelligence Scale, CEIS); the process of development and validation is presented in the current paper, across four different studies. Study 1 (n = 218) used item- analysis and exploratory factor analysis to select relevant items. Study 2 (n = 215) tested the factorial structure, convergent and discriminant validity and test-retest reliability (in sub-sample n = 75). Study 3 (n = 164) cross-validates the factorial structure and assesses concurrent validity of new instrument with well-being. Study 4 (n= 136) presents the translation of the new instrument from its original Romanian language into English and the evaluation of its psychometric properties.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83788401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zalán Négele, J. Pápai, Zsófia Tróznai, C. Nyakas, L. Tóth
One’s self-concept is the representation of one’s self-knowledge developing during physical and mental maturation. It has unquestionable importance in sport performance as a motivational factor. This study assessed and analyzed the self-concept of secondary students aged 14 to 18 assigned to three groups of elite athletes, non-elite athletes and non-athletes. The research focused on the following questions: (1) Are there any differences between males’ and females’ self-concept? (2) Are there any differences in various components of the self-concept according to the level of physical performance? Components of the self-concept were assessed with the Tennessee Self-Concept Scale. Gender differences were tested by independent samples t tests and the effects of athletic activity and gender on various self-concept components by a multivariate analysis of variance. The results showed that males had a more positive self-concept than females. Regarding the level of athletic activity, non-athletes reported the least positive self-concept in both genders. According to the level of athletic performance, no difference was found between the three male groups, while the most positive self concept was clearly reported by non-elite athletes among females. The multivariate analysis of variance revealed that both gender and the level of athletic activity had an effect on self-concept components. Finally, the findings show that an optimally positive self-concept enhances performance in everyday life as well as in sports.
{"title":"The relationship between self-concept and level of physical performance in Hungarian adolescent athletes","authors":"Zalán Négele, J. Pápai, Zsófia Tróznai, C. Nyakas, L. Tóth","doi":"10.24193/CBB.2020.24.16","DOIUrl":"https://doi.org/10.24193/CBB.2020.24.16","url":null,"abstract":"One’s self-concept is the representation of one’s self-knowledge developing during physical and mental maturation. It has unquestionable importance in sport performance as a motivational factor. This study assessed and analyzed the self-concept of secondary students aged 14 to 18 assigned to three groups of elite athletes, non-elite athletes and non-athletes. The research focused on the following questions: (1) Are there any differences between males’ and females’ self-concept? (2) Are there any differences in various components of the self-concept according to the level of physical performance? Components of the self-concept were assessed with the Tennessee Self-Concept Scale. Gender differences were tested by independent samples t tests and the effects of athletic activity and gender on various self-concept components by a multivariate analysis of variance. The results showed that males had a more positive self-concept than females. Regarding the level of athletic activity, non-athletes reported the least positive self-concept in both genders. According to the level of athletic performance, no difference was found between the three male groups, while the most positive self concept was clearly reported by non-elite athletes among females. The multivariate analysis of variance revealed that both gender and the level of athletic activity had an effect on self-concept components. Finally, the findings show that an optimally positive self-concept enhances performance in everyday life as well as in sports.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88995086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A clear inverse relationship exists between efficacy and anxiety and anxiety and performance in mathematics. However, efficacy is domain- and task-specific, so the role that specific types of efficacy play in the anxiety-performance relationship is less clear. Emotional self-efficacy moderates this relationship in children, but research has not yet examined its role with math anxiety and performance in undergraduate students who have more developed emotional regulation. Further, understanding the role of self-efficacy for different tasks (i.e., efficacy for math versus for emotion regulation) is important to understanding math anxiety and how to intervene for math anxious individuals. Therefore, the purpose of the current study was to explore the moderating and/or mediating role of both math self-efficacy and emotional self-efficacy in undergraduate students using indirect effects analyses. One hundred and fifteen students at a mid-sized state university in the Midwest United States completed self-report measures of emotional self-efficacy, math self-efficacy, and math anxiety before completing a standardized measure of math performance. Results of indirect effects analyses determined that math self-efficacy had an indirect effect on the anxiety-performance relationship while emotional self-efficacy had neither indirect nor moderating effects on the math anxiety-performance relationship.
{"title":"Math self-efficacy, not emotional self-efficacy, mediates the math anxiety-performance relationship in undergraduate students","authors":"James J Palestro, M. Jameson","doi":"10.24193/CBB.2020.24.20","DOIUrl":"https://doi.org/10.24193/CBB.2020.24.20","url":null,"abstract":"A clear inverse relationship exists between efficacy and anxiety and anxiety and performance in mathematics. However, efficacy is domain- and task-specific, so the role that specific types of efficacy play in the anxiety-performance relationship is less clear. Emotional self-efficacy moderates this relationship in children, but research has not yet examined its role with math anxiety and performance in undergraduate students who have more developed emotional regulation. Further, understanding the role of self-efficacy for different tasks (i.e., efficacy for math versus for emotion regulation) is important to understanding math anxiety and how to intervene for math anxious individuals. Therefore, the purpose of the current study was to explore the moderating and/or mediating role of both math self-efficacy and emotional self-efficacy in undergraduate students using indirect effects analyses. One hundred and fifteen students at a mid-sized state university in the Midwest United States completed self-report measures of emotional self-efficacy, math self-efficacy, and math anxiety before completing a standardized measure of math performance. Results of indirect effects analyses determined that math self-efficacy had an indirect effect on the anxiety-performance relationship while emotional self-efficacy had neither indirect nor moderating effects on the math anxiety-performance relationship.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90268541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
University students in the international regions show reduced physical activity levels compared to previous generations. Lack of physical activity in college population is a growing problem of modern society because over half of the population is faced with serious health problems, such as obesity, diabetes, and high blood pressure. An emphasis point of physical activity research is to get detailed information of motivational process for engaging in physical activity. This study tested a serial path model that the relationship between autonomous motivation and after school physical activity was proposed to be mediated by behavioral intention and the existence of action planning. A total of 203 students participating in physical education classes of two universities located at a metropolitan city in South Korea were selected. The participants completed four well-validated questionnaires at the end of the classes in one semester. The results of data analyzed using a structural equation modeling revealed that after school physical activity could be positively advanced by the sequential mediation effects of behavioral intention and action planning if students were internalized with autonomous motivation in the physical education classes. The findings highlighted that the action planning played as an effective strategy in leading to engagement in after school physical activity and provided useful information for university physical educators to increase physical activity levels of university students during out of school hours.
{"title":"A serial path model between autonomous motivation, behavioral intention, action planning, and after school physical activity of university students participating in Physical Education classes","authors":"Jae－Young Yang","doi":"10.24193/CBB.2020.24.17","DOIUrl":"https://doi.org/10.24193/CBB.2020.24.17","url":null,"abstract":"University students in the international regions show reduced physical activity levels compared to previous generations. Lack of physical activity in college population is a growing problem of modern society because over half of the population is faced with serious health problems, such as obesity, diabetes, and high blood pressure. An emphasis point of physical activity research is to get detailed information of motivational process for engaging in physical activity. This study tested a serial path model that the relationship between autonomous motivation and after school physical activity was proposed to be mediated by behavioral intention and the existence of action planning. A total of 203 students participating in physical education classes of two universities located at a metropolitan city in South Korea were selected. The participants completed four well-validated questionnaires at the end of the classes in one semester. The results of data analyzed using a structural equation modeling revealed that after school physical activity could be positively advanced by the sequential mediation effects of behavioral intention and action planning if students were internalized with autonomous motivation in the physical education classes. The findings highlighted that the action planning played as an effective strategy in leading to engagement in after school physical activity and provided useful information for university physical educators to increase physical activity levels of university students during out of school hours.","PeriodicalId":37371,"journal":{"name":"Cognition, Brain, Behavior. An Interdisciplinary Journal","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89893195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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