Academic literature on the topic 'Cognitive distortion'
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Journal articles on the topic "Cognitive distortion"
Siddika, Ummey Saima, and Kamal Uddin Ahmed Chowdhury. "Cognitive distortion among psychiatric patients." Dhaka University Journal of Biological Sciences 24, no. 2 (June 30, 2015): 191–98. http://dx.doi.org/10.3329/dujbs.v24i2.46329.
Full textBARRIGA, ALVARO Q., JENNIFER R. LANDAU, BOBBY L. STINSON, ALBERT K. LIAU, and JOHN C. GIBBS. "Cognitive Distortion and Problem Behaviors in Adolescents." Criminal Justice and Behavior 27, no. 1 (February 2000): 36–56. http://dx.doi.org/10.1177/0093854800027001003.
Full textFitri, Rani Agias, and Syerlie July Anggita. "Loneliness and Cognitive Distortion in Adolescent Facebookers." ANIMA Indonesian Psychological Journal 30, no. 3 (April 25, 2015): 155–62. http://dx.doi.org/10.24123/aipj.v30i3.545.
Full textMizes, J. Scott, Glen D. Morgan, and Jane Buder. "The Relationship of Cognitions, Assertion, and Anger Arousal." Journal of Cognitive Psychotherapy 4, no. 4 (January 1990): 369–76. http://dx.doi.org/10.1891/0889-8391.4.4.369.
Full textOsimo, Sofia, and Bruno Osimo. "Cognitive distortion, translation distortion and poetic distortion as semiotic shifts." Ars Aeterna 9, no. 2 (December 20, 2017): 1–17. http://dx.doi.org/10.1515/aa-2017-0006.
Full textHaywood, Thomas W., Howard M. Kravitz, Linda S. Grossman, and Orest E. Wasyliw. "Profiling Psychological Distortion in Alleged Child Molesters." Psychological Reports 75, no. 2 (October 1994): 915–27. http://dx.doi.org/10.2466/pr0.1994.75.2.915.
Full textPetruccelli, I., G. D’ Urso, A. Gherardini, S. Grilli, F. Nimbi, and V. Verrastro. "Cognitive Distortions and Moral Disengagement in Sex Offenders: A Study in Order to Develop a Possible Treatment." Klinička psihologija 9, no. 1 (June 13, 2016): 18–19. http://dx.doi.org/10.21465/2016-kp-op-0008.
Full textGogheri, Tayebeh, Seyed Abdolvahab Samavi, and Samaneh Najarpourian. "Structural Relationships Model of Type D Personality and Depression With the Mediation of Cognitive Distortions and Family Functioning in the Citizens of Bandar Abbas." Qom Univ Med Sci J 15, no. 6 (September 1, 2021): 384–93. http://dx.doi.org/10.32598/qums.15.6.1334.2.
Full textGith, Emad. "How Distorted Thinking Influence Marketing?" International Journal of Contemporary Education 1, no. 1 (April 27, 2018): 87. http://dx.doi.org/10.11114/ijce.v1i1.3247.
Full textKendall, Philip C., Kevin D. Stark, and Therese Adam. "Cognitive deficit or cognitive distortion in childhood depression." Journal of Abnormal Child Psychology 18, no. 3 (June 1990): 255–70. http://dx.doi.org/10.1007/bf00916564.
Full textDissertations / Theses on the topic "Cognitive distortion"
Martinelli, Earl Nicholas. "A Dynamic Time Course of Cognitive Map Distortion." Thesis, Connect to title online (Scholars' Bank), 2008. http://hdl.handle.net/1794/7892.
Full textCapuano, Angela M. "Empathy and Cognitive Distortion: Examining Their Relationship with Aggression in Adolescents." Bowling Green, Ohio : Bowling Green State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1180535095.
Full textBlumenthal, Stephen B. "Cognitive distortion and blame attribution in different groups of sex offenders." Thesis, Open University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387786.
Full textBarriga, Alvaro Q. "Measuring cognitive distortion in antisocial youth: refinement and preliminary evaluation of the How I Think questionnaire." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1392109082.
Full textWood, Eric. "Parental bonding, adult romantic attachment, fear of intimacy, and cognitive distortions among child molesters." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3902/.
Full textNguyen, Daniel. "EXAMINING THE ROLE OF JOB FAMILIARITY, COGNITIVE ABILITY, AND EMOTIONAL INTELLIGENCE IN FAKING SUCCESS FOR PERSONALITY ASSESSMENT." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/487.
Full textBen, mabrouk Mouna. "PA efficiency enhancement using digital linearization techniques in uplink cognitive radio systems." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0296/document.
Full textFor a battery driven terminal, the power amplifier (PA) efficiency must be optimized. Consequently,non-linearities may appear at the PA output in the transmission chain. To compensatethese distortions, one solution consists in using a digital post-distorter based on aVolterra model of both the PA and the channel and a Kalman filter (KF) based algorithm tojointly estimate the Volterra kernels and the transmitted symbols. Here, we suggest addressingthis issue when dealing with uplink cognitive radio (CR) system. In this case, additionalconstraints must be taken into account. Since the CR terminal may switch from one subbandto another, the PA non-linearities may vary over time. Therefore, we propose to designa digital post-distorter based on an interacting multiple model combining various KF basedestimators using different model parameter dynamics. This makes it possible to track thetime variations of the Volterra kernels while keeping accurate estimates when those parametersare static. Furthermore, the single carrier case is addressed and validated by simulationresults. In addition, the relevance of the proposed approach is confirmed by measurementscarried on a (300-3000) MHz broadband PA
Fu, Zhu. "Digital Pre-distortion for Interference Reduction in Dynamic Spectrum Access Networks." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-dissertations/152.
Full textThrasher, Andrew J. "Cognitive distortions of lottery gamblers." online access from Digital Dissertation Consortium access full-text, 2003. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?3114805.
Full textDURÃES, RICARDO SILVA DOS SANTOS. "IDENTIFICAÇÃO DE DISTORÇÕES COGNITIVAS EM CASAIS E INTERVENÇÃO COGNITIVO-COMPORTAMENTAL." Universidade Metodista de Sao Paulo, 2016. http://tede.metodista.br/jspui/handle/tede/1600.
Full textMade available in DSpace on 2017-01-25T12:53:43Z (GMT). No. of bitstreams: 1 RicardoDuraes.pdf: 2397528 bytes, checksum: 3131144d042e53cdfcb5df2acb1abbc2 (MD5) Previous issue date: 2016-11-16
Automatic thoughts, emotions, behaviors and physiological responses have relationships with each other and are directly linked to the attribution of the causes, beliefs, values, attitudes and expectations in the relationship of couples and are associated with marital satisfaction and psychological distress. The aim of this study was to identify cognitive distortions couples and intervene from cognitive-behavioral therapy and increase levels of marital satisfaction. The sample consisted of 16 heteroafetivos couples, Brazilian, 18 years, literate and at least one year of marriage. Thus, the average age of the sample was 30.4 (SD=4,13) years and the majority (37.5%) reported having completed high school. The following instruments were used: Marital Satisfaction Scale (ESC); Dyadic Adjustment Scale (DAS); Relationship Belief Inventory (RBI); Marital Social Skills Inventory (IHSC); Automatic Thoughts Questionnaire (ATQ); Dysfunctional Attitude Scale (EAD); Back Depression Inventory - (BDI) and Beck Anxiety Inventory (BAI) applied before and after cognitive behavioral intervention, and a Questionnaire Sociodemographic. In the procedure, the couples came by 12 therapy sessions for 50-minutes weekly with cognitive-behavioral approach. Only the second session was individual. However, the first and the other sessions were combined. The results discloused as the most frenquentes cognitive distortions have the Mind Reading 34.4% (n = 11) and Hipergeneralization 31.3% (n = 10). In terms of final considerations it was observed that the cognitive behavioral intervention showed its effective, and then, corroborating improvement in marital satisfaction of most couples. Thus, the correlations of paired samples showed statistical significance (p=0,00) in the improvement of the levels of marital satisfaction, depression, anxiety, marital social skills and automatic thought compared to before and after the intervention.
Os pensamentos automáticos, as emoções, os comportamentos e as respostas fisiológicas têm relações entre si e estão diretamente ligados às atribuição das causas, crenças, valores, atitudes e expectativas na relação dos casais e estão associados à satisfação conjugal e sofrimento psíquico. O objetivo desse estudo foi identificar distorções cognitivas em casais e intervir a partir da terapia cognitivo-comportamental e aumentar os níveis de satisfação conjugal. A amostra foi composta por 16 casais heteroafetivos, brasileiros, maiores de 18 anos, alfabetizados e com no mínimo um ano de união. Assim, a idade média da amostra foi de 30,4 (DP=4,13) anos e a maioria (37,5%) relatou ter ensino médio completo. Foram utilizados os seguintes instrumentos: Escala de Satisfação Conjugal (ESC); Escala de Ajustamento Diádico (DAS); Inventário de Crença Sobre Relacionamento (RBI); Inventário de Habilidades Sociais Conjugais (IHSC); Questionário de Pensamentos Automáticos (ATQ); Escala de Atitudes Disfuncionais (EAD); Inventário Back de Depressão – (BDI) e Inventário Beck de Ansiedade (BAI) aplicados antes e depois da intervenção cognitivo comportamental, além de um Questionário Sociodemográfico. Quanto ao procedimento, os casais passaram por 12 sessões de terapia de 50 minutos com base cognitivo-comportamental. Somente a segunda sessão foi individual. No entanto, a primeira e as demais sessões foram conjuntas. Os resultados mostraram que as distorções cognitivas mais frenquentes foram a Leitura de pensamento 34,4% (n=11) e de hipergeneralização 31,3% (n=10). Foi possível observar que a intervenção cognitivo comportamental se mostou eficaz, corroborando melhora nas satisfação conjugal da maioria dos casais. As correlações de amostras emparelhadas apresentaram significância estatística (p=0,00) na melhora dos níveis de satisfação conjugal, depressão, ansiedade, habilidades sociais conjugais e pensamentos automáticos comparado com o antes e depois da intervenção.
Books on the topic "Cognitive distortion"
Briere, John. Cognitive distortion scales: Professional manual. Odessa, FL: Psychological Assessment Resources, 2000.
Find full textChoudhry, Ravi Kiran. Cognitive distortions of incest and non-incest offenders. Ottawa: National Library of Canada, 1994.
Find full textBombay, Kristen. The relationship between self-serving cognitive distortions and bullying behaviours among elementary school children. St. Catharines, Ont: Brock University, Faculty of Education, 2002.
Find full textClough, Dorothy Hendel. THE RELATIONSHIP OF COGNITIVE DISTORTION AND DISABILITY IN RHEUMATOID ARTHRITIS. 1988.
Find full textDritschel, Barbara H. Cognitive distortions amongst women experiencing bulimic episodes. 1991.
Find full textChoudhry, Ravi Kiran. Cognitive distortions of incest and non-incest offenders. 1995.
Find full textGannon, Theresa A. Cognitive distortions in child sexual offenders: Fact of fiction? 2003.
Find full textKropf, Nancy P., and Sherry M. Cummings. Cognitive Behavioral Therapy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190214623.003.0003.
Full textCroker, William Leonard *. Coping strategies, cognitive distortions, and depressive symptomatology in high school adolescents. 1991.
Find full textvan Wingerden, Evelien, Arjan van Tilborg, and Hans van Balkom. Cognitive Constraints on Learning to Read in Children with an Intellectual Disability Who Are Deaf and Hard of Hearing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190880545.003.0012.
Full textBook chapters on the topic "Cognitive distortion"
Owen, Tim, Wayne Noble, and Faye Christabel Speed. "Cyber Grooming: How Biological Variables Reinforce Cognitive Distortion." In New Perspectives on Cybercrime, 81–111. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53856-3_6.
Full textSeager, Martin, and John A. Barry. "Cognitive Distortion in Thinking About Gender Issues: Gamma Bias and the Gender Distortion Matrix." In The Palgrave Handbook of Male Psychology and Mental Health, 87–104. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04384-1_5.
Full textZhu, Zhenmin, Quanxin Liu, Xinyun Wang, and Shuang Pei. "Distortion Correction Method of Zoom Lens Based on Vanishing Point Geometric Constraint." In Cognitive Internet of Things: Frameworks, Tools and Applications, 357–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04946-1_35.
Full textSheehan, P. W. "Response to Suggestions of Memory Distortion in Hypnosis: Sampling Cognitive and Social Factors." In Suggestion and Suggestibility, 295–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73875-3_23.
Full textHan, Zhaoyang, Meabh Loughman, Yiyue Jiang, Rahul Mushini, Miriam Leeser, and John Dooley. "Computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless Systems." In Cognitive Radio Oriented Wireless Networks and Wireless Internet, 39–55. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98002-3_3.
Full textPittard, Caroline M., and Patrick Pössel. "Cognitive Distortions." In Encyclopedia of Personality and Individual Differences, 706–8. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_965.
Full textPittard, Caroline M., and Patrick Pössel. "Cognitive Distortions." In Encyclopedia of Personality and Individual Differences, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28099-8_965-1.
Full textNeenan, Michael, and Windy Dryden. "Identifying Cognitive Distortions." In Cognitive Behaviour Therapy, 134–35. Third edition. | London; New York: Routledge, Taylor & Francis Group, 2021. | Series: 100 key points and techniques: Routledge, 2020. http://dx.doi.org/10.4324/9781003134053-58.
Full textGoodie, Adam S., Erica E. Fortune, and Jessica J. Shotwell. "Cognitive Distortions in Disordered Gambling." In Gambling Disorder, 49–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03060-5_4.
Full textHorowitz, Michael C. "Future thinking and cognitive distortions." In The Politics and Science of Prevision, 63–72. Abingdon, Oxon; New York: Routledge, 2020. |: Routledge, 2020. http://dx.doi.org/10.4324/9781003022428-6.
Full textConference papers on the topic "Cognitive distortion"
Nagy, David G., Balazs Torok, and Gergo Orban. "Rate distortion trade-off in human memory." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1115-0.
Full textYe, Wen, Yuxing Peng, Xianrong Liu, and Junling Yang. "Distortion suppression based on adaline for single-phase SPWM inverter." In 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622284.
Full textChatterjee, Debdeep, Ozgur Oyman, and Jeffrey Foerster. "Distortion-aware transmission in cognitive radio networks." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757719.
Full textNaselaris, Thomas. "A variational image reconstruction algorithm reveals distortion and uncertainty in mental imagery." In 2018 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1274-0.
Full textHosseini, Haleh, Norsheila Fisal, and Sharifah K. Syed-Yusof. "Compensation of link distortion for cognitive WPMCM UWB system." In 2011 IEEE 17th Asia-Pacific Conference on Communications (APCC). IEEE, 2011. http://dx.doi.org/10.1109/apcc.2011.6152835.
Full textVarma, D. Prasanth, and K. Annapurna. "Low Distortion Resource Allocation in NOMA based Cognitive Radio Networks." In 2021 6th International Conference on Inventive Computation Technologies (ICICT). IEEE, 2021. http://dx.doi.org/10.1109/icict50816.2021.9358599.
Full textTasnim, Rifat Ara, and Farjana Eishita. "ARCoD: An Augmented Reality Serious Game to Identify Cognitive Distortion." In IUI '21: 26th International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3397482.3450723.
Full textLAJNEF, Hanen, Maha CHERIF DAKHLI, Moez HIZEM, and Ridha BOULLEGUE. "Mitigation of Nonlinear Amplifier Distortion for CP-OFDM Based Cognitive Radio Systems." In 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2018. http://dx.doi.org/10.23919/softcom.2018.8555744.
Full textThornton, Charles E., R. Michael Buehrer, and Anthony F. Martone. "Constrained Online Learning to Mitigate Distortion Effects in Pulse-Agile Cognitive Radar." In 2021 IEEE Radar Conference (RadarConf21). IEEE, 2021. http://dx.doi.org/10.1109/radarconf2147009.2021.9455255.
Full textDrotar, P., J. Gazda, M. Deumal, P. Galajda, and D. Kocur. "Receiver based compensation of nonlinear distortion in MIMO-OFDM." In 2010 IEEE International Microwave Workshop Series on "RF Front-ends for Software Defined and Cognitive Radio Solutions" (IMWS). IEEE, 2010. http://dx.doi.org/10.1109/imws.2010.5440998.
Full textReports on the topic "Cognitive distortion"
Fernandez, Katya, and Cathleen Clerkin. The Stories We Tell: Why Cognitive Distortions Matter for Leaders. Center for Creative Leadership, June 2021. http://dx.doi.org/10.35613/ccl.2021.2045.
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