بررسی سرعت پردازش اطلاعات با نگاه به اضطراب رگه / حالت

نویسندگان
1 دانشگاه خوارزمی
2 باشگاه پژوهشگران جوان و نخبگان، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، اصفهان، ایران
چکیده
سازه­های هیجان و شناخت دو بعد اساسی ساختار روان­شناختی انسان را شکل می­دهند و تببین عملکرد فقط در صورت توجه به تعامل این دو بعد امکان­پذیر است.هدف پژوهش حاضر بررسی سرعت پردازش اطلاعات دانش­آموزان بر اساس اضطراب رگه / حالت بود.ازجامعه وسیع دانش­آموزان مقطع متوسطه شهرستان نجف آباد بر اساس ملاک­های ورود و نمرات انتهایی توزیعپرسش­نامه اضطراب رگه / حالت اسیپیلبرگر،چهار گروه 15 نفری(اضطراب حالت بالا، اضطراب حالت پایین، اضطراب رگه بالا و اضطراب رگه پایین) انتخاب شدند و توسط آزمون­های سرعت پردازش زاهلن / وربیندونگزاسؤالدوروس (1978)و رمزگردانی کی دی تی سیتزول (1995)مورد ارزیابی قرار گرفتند.نتایجتحلیل چند متغیری واریانس و آزمون­های تعقیبی بون­فرنی نشان دادکه بین چهار گروه در سرعت پردازش و رمز گردانی تفاوت معنا­دار وجود دارد. همچنین نتایج نشان داد که سرعت پردازش دانش­آموزان دارای اضطراب رگه و حالت پایین بهتر از دانش­آموزان دارای اضطراب رگه و حالت بالا است.بر اساس یافته­های پژوهش حاضر می­توان گفت اضطراب نقش مهمی در کارکردهای شناختی و سرعت پردازش اطلاعات دارد و اضطراب بالا (رگه / حالت) سبب تداخل در سرعت پردازش اطلاعات و کارکردهای شناختی می­شود.
کلیدواژه‌ها

عنوان مقاله English

The assessment ofinformation processingspeed with regard tostate trait anxiety

نویسندگان English

Jafar Hasani 1
Hasan Rezaee 2
چکیده English

Emotionand cognitionconstructs constitute twobasic dimensions ofhuman psychologicalstructureandtheexplanation of performanceis onlypossibledue to theinteractionof thesetwo dimensions.The aimofthis study wasto investigate student’s information processingspeed based ontrait/stateanxiety.From large population ofNajaf Abadcityhighschoolstudentsaccording to inclusion criteria and extreme scores of distribution of Spielberger Trait and State AnxietyScale (EPQ-R)fourgroups(highstatanxiety, lowstatanxiety, hightraitanxiety&lowtraitanxiety N=15) wereselected and assessed by Speed-of-processing tests (Zahlen-Verbindungs-TestOswald & Roth, 1978) and Sitzwohl’s Coding Test (KDT)(1995). Theresultsofmultivariate analysis of varianceand Bonferenipost hoctestsshowed thatthere aresignificant differences between fourgroups in speed-of-processing andcoding .Theresults alsoshowed thatspeed-of-processinginstudents with low trait and low state anxietyis faster thanstudentswithhightrait and high stateanxiety. Based on the findingsof this studycan be said thatanxiety plays an important role incognitive functionsandinformationprocessing speedofandhigh anxiety(trait /state) causes interferenceininformation processingspeed, and ultimately cognitive functions.

کلیدواژه‌ها English

InformationProcessing Speed
TraitAnxiety
Stat Anxiety
Andreoletti, C., Veratti, B. W., &Lachman, M. E. (2006). Age differences in therelationship between anxiety and recall. Aging and Mental Health, 10, 265-271.
Ansari, T. L., & Derakshan, N. (2011). The neural correlates of cognitive effort in anxiety: effects on processing efficiency. Biological Psychology, 86, 337-348.
Ashcraft. M. H., & Kirk, E. P. (2001). Therelationships among working memory, mathanxiety and performance. Journal ofExperimental psychology, 130,224-237.
Beaudreau, S. A, &O’Hara, R. (2009). The association of anxiety and depressivesymptoms with cognitive performance in community dwellingolder adults. Psychology andAging, 24, 507-512.
Berggren, N., & Derakshan, N. (2013). Attention control deficits in trait anxietydeficits in trait anxiety: Why you see them and why you don’t. Biological Psychology, 92 (3), 440-446.
Bierman, E. J., Comijs, H. C., Rijmen, F., Jonker, C., &Beekman, A. T. (2008). Anxiety symptoms andcognitive performance in later life: results from the LongitudinalAging Study Amsterdam. Aging and Mental Health, 12, 517-523.
Calvo,M. G., & Eysenck, M. W. (1996).phonological working memory and reading intest anxiety. Memory,4,289-305.
Deary, I. J. (1995). Auditory inspection time and intelligence: What is the direction of causation? Developmental Psychology,31, 237-250.
Ellis, H. C., & Ashbrook, P. W. (1988). Resource allocation model of the effects of depressed mood states on memory. In K. Fiedler & J. Forgas (Eds.), Affect, cognition, and social behavior: New evidenceand integrative attempts (pp. 25-43). Toronto: Hogrefe.
Eysenck, M. W., & Derakshan, N. (2011). New perspectives in attention control theory. Personality and Individual Differences, 50, 955-960.
Eysenck, M. W., & Calvo, M. G. (1992).Anxiety and performance: The processingefficiency Theory. Cognition andEmotion, 6,409-434.
Eysenck, M. W., Payne, S.,&Derakhshan, N.(2005). Trait anxiety, visospatial processing, andworkingmemory. Cognition & Emotions, 19(8), 1214-1228.
Forgas, J. P. (1992). Mood and the perception of unusual people: Affective asymmetry in memory and social judgment”. European Journal of Social Psychology, 22, 531-547.
Hadwin, J. A., Brogan, J., &Stevenson, J.(2005). State Anxiety and working memory inchildren: A test of processing efficiency theory.Education Psychology, 25 (4),379-393.
Lazarus, R. S. (1991). Cognition and motivation in emotion. American Psychologist, 46, 352-367.
Moutafi, J., Furnham, A., & Iounnis, T. (2003). Is the relationship between intelligence and trait neuroticism mediated by test anxiety? Personality and Individual Differences, 40, 587-597.
Myers, S. G., & Wells, A. (2005). Obsessive-compulsivesymptoms: The contribution of met cognitions andresponsibility. Journal of Anxiety Disorders, 19, 806-817.
Panahishahre, M. (1996). A preliminarystudy ofvalidityand reliabilityof Spielberger inventorystat/Traitstudents Between StudentsinTehran.Master Thesisin Psychology. Tarbiat Modares University. (Persian)
Potvin, O., Bergua, V., Meillon, C., Le Goff, M., Bouisson, J., Dartigues, J. F., &Amieva, H. (2013). State Anxiety and Cognitive Functioning in Older Adults. The American Journal of Geriatric Psychiatry,21, (9), 915-924.
Oswald, W., & Roth, D. (1978). Der Zahlenverbindungstest (ZVT). Gfttingen, Germany7 Hogrefe Performance: Attention control Theory.Emotion,7(2),336-335.
Phillipe, P. (1995). The effect of trait anxietycombined with state anxiety memory: a fieldstudy: Missory western statecollege.www.Psych.Mwsc.Edu.
Rindermann, H., & Neubauer, A. C. (2004). Processing speed, intelligence, creativity,and school performance: Testing of causal hypotheses using structural equationmodels. Intelligence: 32, 573-589.
Sadock, B. J., &Sadock, V. A. (2007). Editors; Kaplan and Sadock's synopsis of psychiatry. Behavioral sciences/clinical psychiatry.10th ed. North American: Lippincott Williams & Wilkins.
Shives, L., &Isaacs, A. (2007). Editors; Psychiatric mental health nursing. 10th edition. North American: Lippincott Williams &Wilkins.
Sitzwohl, E. M. (1995). Konstruktion und Uberprufung eines Papier-Bleistift-Tests zur Erfassung vonInformationsverarbeitungsgeschwindigkeit: Der Coding-Test. Unpublished diploma’s thesis, University of Graz,Austria.
Spielberger, C. D. (1966). Theory and research onanxiety. In C.D. Spielberger (Ed.), Anxiety andBehavior. New York: Academic Press.
Spielberger, C. D., &Gorusch, R. L. (1970). Manual for the State-Trait AnxietyInventory, Palo Alto, CA: Consulting Psychologists Press.
Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A.(1983). Manual for the State-Trait Anxiety Inventory, Palo Alto, CA: Consulting Psychologists Press.
Vernon, P. A. (1993). Intelligence and neural efficiency. In D. K. Detterman (Ed.), Current topics in human intelligence (Vol. 3, pp. 171–187). Norwood, NJ: Ablex.
Wells, A. (2005). The meta-cognitive model of GAD:Assessment of meta-worry and relationship with DSMIVgeneralized anxiety disorder. Cognitive Therapyand Research, 29, 107-121.
Wilson, M., Smith, N. C., Holmes, P. S(2007).The role of effort in influencingpredictions hypothesis. British Journal ofpsychology. Vol,98 Issue 3, 411-428
Wilt, J., Oehlberg, K., & Revelle, W. (2011). Anxiety in personality. Personalityand Individual Differences, 50(7), 987-993.