Relevant bibliographies by topics / Feedback (Psychology) Econometric models

Academic literature on the topic 'Feedback (Psychology) Econometric models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Feedback (Psychology) Econometric models"

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Sonnemans, Joep, and Jan Tuinstra. "Positive expectations feedback experiments and number guessing games as models of financial markets." Journal of Economic Psychology 31, no. 6 (December 2010): 964–84. http://dx.doi.org/10.1016/j.joep.2010.08.005.

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Angelidis,, Dimitrios, Athanasios Koulakiotis, and Apostolos Kiohos. "Feedback Trading Strategies: The Case of Greece and Cyprus." South East European Journal of Economics and Business 13, no. 1 (June 1, 2018): 93–99. http://dx.doi.org/10.2478/jeb-2018-0006.

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Abstract This paper examines whether or not feedback trading strategies are present in the Athens (ASE) and Cyprus Stock Exchanges (CSE). The analysis employs two econometric models: the feedback trading strategy model, introduced by Sentana and Wadhwani (1992), and the exponential autoregressive model, proposed by LeBaron (1992). These two theoretical frameworks, separately, were joined with the FIGARCH (1, d, 1) approach. Both models assume two different groups of traders - the “rational” investors that build their portfolio by following the firms’ fundamentals and the “noise” speculators that ignore stock fundamentals and focus on a positive (negative) feedback trading strategy. The empirical results revealed that negative feedback trading strategies exist in the two underlying stock markets
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Yang, Yixing, Md Qamruzzaman, Mohd Ziaur Rehman, and Salma Karim. "Do Tourism and Institutional Quality Asymmetrically Effects on FDI Sustainability in BIMSTEC Countries: An Application of ARDL, CS-ARDL, NARDL, and Asymmetric Causality Test." Sustainability 13, no. 17 (September 6, 2021): 9989. http://dx.doi.org/10.3390/su13179989.

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The motivation of the study is to investigate the nature of the relationship between institutional quality, tourism, and FDI in BIMSTEC nations for the period 1996Q1–2018Q4. Exploring their nature of association, the study performed several panel econometric models, namely Panel ARDL, Nonlinear ARDL, and Toda-Yamamoto causality test, with symmetric and asymmetric effects of institutional quality and tourism. The results of the Wald test confirmed the long-run asymmetric relationship between institutional quality, tourism, and FDI, both in the long-run and short-run. Furthermore, directional casualty established a feedback hypothesis explaining the relationship between institutional quality, tourism, and FDI.
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DeYoung, Robert, Emma Y. Peng, and Meng Yan. "Executive Compensation and Business Policy Choices at U.S. Commercial Banks." Journal of Financial and Quantitative Analysis 48, no. 1 (January 8, 2013): 165–96. http://dx.doi.org/10.1017/s0022109012000646.

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AbstractWe show that contractual risk-taking incentives for chief executive officers (CEOs) increased at large U.S. commercial banks around 2000, when industry deregulation expanded these banks’ growth opportunities. Our econometric models indicate that CEOs responded positively to these incentives, especially at the larger banks best able to take advantage of these opportunities. Our results also suggest that bank boards responded to higher-than-average levels of risk by moderating CEO risk-taking incentives; however, this feedback effect is absent at the very largest banks with strong growth opportunities and a history of highly aggressive risk-taking incentives.
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Padalkar, Shamin, and Mary Hegarty. "Models as feedback: Developing representational competence in chemistry." Journal of Educational Psychology 107, no. 2 (May 2015): 451–67. http://dx.doi.org/10.1037/a0037516.

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Langer, Philip, and Verne Keenan. "Feedback, Concordance, and Text Comprehension." Psychological Reports 72, no. 2 (April 1993): 517–18. http://dx.doi.org/10.2466/pr0.1993.72.2.517.

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Research on the effects of sentence-order feedback on text processing has shown that agreement between the order of original text and either (1) the order of reconstructed text or (2) recall of text does not influence amount of recall. Students' processing of text is a function of too many uncertain variables to permit endorsements of simple association models of instructional assistance.
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Bhargava, Alok, and Juan A. Echenique. "An Econometric Analysis of Sea Surface Temperatures, Sea Ice Concentrations and Ocean Surface Current Velocities." Journal of Marine Science and Engineering 10, no. 12 (December 1, 2022): 1854. http://dx.doi.org/10.3390/jmse10121854.

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This paper analyzed quarterly longitudinal data for 64,800 1 × 1 degree grids during 2000–2019 on sea surface temperatures, sea ice concentrations, and ocean surface current zonal and meridional velocities in the Northern and Southern hemispheres. The methodological framework addressed the processing of remote sensing signals, interdependence between sea surface temperatures and sea ice concentrations, and combining zonal and meridional velocities as the eddy kinetic energy. Dynamic and static random effects models were estimated by maximum likelihood and stepwise methods, respectively, taking into account the unobserved heterogeneity across grids. The main findings were that quarterly sea surface temperatures increased steadily in the Northern hemisphere, whereas cyclical patterns were apparent in Southern hemisphere; sea ice concentrations declined in both hemispheres. Second, sea surface temperatures were estimated with large negative coefficients in the models for sea ice concentrations for the hemispheres; previous sea ice concentrations were negatively associated with sea surface temperatures, indicating feedback loops. Third, sea surface temperatures were positively and significantly associated with eddy kinetic energy in Northern hemisphere. Overall, the results indicated the importance of reducing sea surface temperatures via reductions in greenhouse gas emissions and the dumping of pollutants into oceans for maintaining sea ice concentrations and enhancing global sustainability.
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Sharma, Himanshu, and Anu G. Aggarwal. "What factors determine reviewer credibility?" Kybernetes 49, no. 10 (November 18, 2019): 2547–67. http://dx.doi.org/10.1108/k-08-2019-0537.

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Purpose The experiential nature of travel and tourism services has popularized the importance of electronic word-of-mouth (EWOM) among potential customers. EWOM has a significant influence on hotel booking intention of customers as they tend to trust EWOM more than the messages spread by marketers. Amid abundant reviews available online, it becomes difficult for travelers to identify the most significant ones. This questions the credibility of reviewers as various online businesses allow reviewers to post their feedback using nickname or email address rather than using real name, photo or other personal information. Therefore, this study aims to determine the factors leading to reviewer credibility. Design/methodology/approach The paper proposes an econometric model to determine the variables that affect the reviewer’s credibility in the hospitality and tourism sector. The proposed model uses quantifiable variables of reviewers and reviews to estimate reviewer credibility, defined in terms of proportion of number of helpful votes received by a reviewer to the number of total reviews written by him. This covers both aspects of source credibility i.e. trustworthiness and expertness. The authors have used the data set of TripAdvisor.com to validate the models. Findings Regression analysis significantly validated the econometric models proposed here. To check the predictive efficiency of the models, predictive modeling using five commonly used classifiers such as random forest (RF), linear discriminant analysis, k-nearest neighbor, decision tree and support vector machine is performed. RF gave the best accuracy for the overall model. Practical implications The findings of this research paper suggest various implications for hoteliers and managers to help retain credible reviewers in the online travel community. This will help them to achieve long term relationships with the clients and increase their trust in the brand. Originality/value To the best of authors’ knowledge, this study performs an econometric modeling approach to find determinants of reviewer credibility, not conducted in previous studies. Moreover, the study contracts from earlier works by considering it to be an endogenous variable, rather than an exogenous one.
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Franken, Matthias K., Daniel J. Acheson, James M. McQueen, Peter Hagoort, and Frank Eisner. "Consistency influences altered auditory feedback processing." Quarterly Journal of Experimental Psychology 72, no. 10 (March 28, 2019): 2371–79. http://dx.doi.org/10.1177/1747021819838939.

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Previous research on the effect of perturbed auditory feedback in speech production has focused on two types of responses. In the short term, speakers generate compensatory motor commands in response to unexpected perturbations. In the longer term, speakers adapt feedforward motor programmes in response to feedback perturbations, to avoid future errors. The current study investigated the relation between these two types of responses to altered auditory feedback. Specifically, it was hypothesised that consistency in previous feedback perturbations would influence whether speakers adapt their feedforward motor programmes. In an altered auditory feedback paradigm, formant perturbations were applied either across all trials (the consistent condition) or only to some trials, whereas the others remained unperturbed (the inconsistent condition). The results showed that speakers’ responses were affected by feedback consistency, with stronger speech changes in the consistent condition compared with the inconsistent condition. Current models of speech-motor control can explain this consistency effect. However, the data also suggest that compensation and adaptation are distinct processes, which are not in line with all current models.
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Akram, Naeem. "Determinants of Domestic Violence in Pakistan: A Qualitative and Econometric Analysis." Partner Abuse 12, no. 3 (July 1, 2021): 265–94. http://dx.doi.org/10.1891/pa-d-20-00006.

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Domestic violence exists in every country, irrespective of the culture, ethnicity, age, income, and education of the women. World Health Organization has estimated that approximately 35% of women worldwide had experienced sexual or physical violence. The present study has attempted to analyze the role of different socioeconomic indicators on the prevalence of domestic violence. In this regard, data of Pakistan Demographic and Health Survey 2017–2018 has been used and logit models have been estimated. It has been found that women married below the age of 18; living in rural areas; have more children; whose mothers experienced violence; feared their husbands; with little or no autonomy in decision-making; had a bank account; married outside of the family; and had not inherited any land or property were significantly more vulnerable victims of domestic violence. It has been found that women's education, education of her husband, and exposure to media by creating awareness may protect women from domestic violence. Furthermore, working women are more likely to face domestic violence, but women who have started working before marriage are significantly less vulnerable victims of domestic violence. However, the age of women herself, the age of husband, age of household head and wealth of household, living in the nucleus or joint family, receiving any support from Benazir Income Support Program (BISP) have no significant role in determining the domestic violence in Pakistan.
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Dissertations / Theses on the topic "Feedback (Psychology) Econometric models"

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Dobbs, Tammy J. "Discrete Trial Instruction: Comparing the Abbreviated Performance Feedback and Lecture Test Models." ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1174.

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Growing media attention and a high diagnosis rate of autism places significant demand on the service industry to provide qualified staff to work with individuals who have autism. Discrete trial instruction (DTI) is one of the most sought-after treatment approaches for those individuals. However, there is a gap in research regarding the efficacy of training methods for those who train direct staff to implement DTI. This quantitative study used an applied behavior analysis basis, deriving from foundations of behavior theory, to compare the abbreviated feedback form (AFF) to the lecture test model (LTM) to understand which will improve direct staff's ability to implement DTI more efficiently from baseline. The AFF provided for trainees a list of skills to implement tasks that have multiple steps. The LTM provided trainees a lecture of skills to understand basic applied behavior analysis, autism, and DTI. Four participating staff's baseline and training data were analyzed by comparing their scores to the set criterion from the AFF. The data were analyzed by both the program supervisor and the researcher, with inter-observer agreement reached. Using a single-subject, AB design, data demonstrated that staff who were trained using the AFF had significant improvement from baseline, compared to staff trained using the LTM. Supervisors who use the AFF to more efficiently and rapidly train staff may decrease the time gap between service recommendation and implementation, making needed treatment more readily available and efficacious to children diagnosed with autism. Improvements in staff skill set will likely have a direct correlation on the improvements and long term outcomes for those being treated.
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Dobbs, Tammy J. "Discrete Trial Instruction| Comparing the Abbreviated Performance Feedback and Lecture Test Models." Thesis, Walden University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3646869.

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Growing media attention and a high diagnosis rate of autism places significant demand on the service industry to provide qualified staff to work with individuals who have autism. Discrete trial instruction (DTI) is one of the most sought-after treatment approaches for those individuals. However, there is a gap in research regarding the efficacy of training methods for those who train direct staff to implement DTI. This quantitative study used an applied behavior analysis basis, deriving from foundations of behavior theory, to compare the abbreviated feedback form (AFF) to the lecture test model (LTM) to understand which will improve direct staff's ability to implement DTI more efficiently from baseline. The AFF provided for trainees a list of skills to implement tasks that have multiple steps. The LTM provided trainees a lecture of skills to understand basic applied behavior analysis, autism, and DTI. Four participating staff's baseline and training data were analyzed by comparing their scores to the set criterion from the AFF. The data were analyzed by both the program supervisor and the researcher, with inter-observer agreement reached. Using a single-subject, AB design, data demonstrated that staff who were trained using the AFF had significant improvement from baseline, compared to staff trained using the LTM. Supervisors who use the AFF to more efficiently and rapidly train staff may decrease the time gap between service recommendation and implementation, making needed treatment more readily available and efficacious to children diagnosed with autism. Improvements in staff skill set will likely have a direct correlation on the improvements and long term outcomes for those being treated.

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Peterson, Ashlei Margaret. "Taking it Personally: Individual Differences in the Interpretation of Negative Evaluations." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1460372882.

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Wåhlin, Peter. "Enhanching the Human-Team Awareness of a Robot." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16371.

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The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human teams. This capability could, for instance, be used in the robot's reasoning and planning components to create better plans that ultimately would result in improved human-robot teamwork performance. we propose to improve existing teamwork activity recognizers by adding intangible features, such as stress, motivation and focus, originating from human behavior models. Hidden markov models have earlier been proven very efficient for activity recognition and have therefore been utilized in this work as a method for classification of behaviors. In order for a robot to provide effective assistance to a human team it must not only consider spatio-temporal parameters for team members but also the psychological.To assess psychological parameters this master thesis suggests to use the body signals of team members. Body signals such as heart rate and skin conductance. Combined with the body signals we investigate the possibility of using System Dynamics models to interpret the current psychological states of the human team members, thus enhancing the human-awareness of a robot.
Användningen av autonoma robotar i vårt samhälle ökar varje dag och en robot ses inte längre som ett verktyg utan som en gruppmedlem. Robotarna arbetar nu sida vid sida med oss och ger oss stöd under farliga arbeten där människor annars är utsatta för risker. Denna utveckling har i sin tur ökat behovet av robotar med mer människo-medvetenhet. Därför är målet med detta examensarbete att bidra till en stärkt människo-medvetenhet hos robotar. Specifikt undersöker vi möjligheterna att utrusta autonoma robotar med förmågan att bedöma och upptäcka olika beteenden hos mänskliga lag. Denna förmåga skulle till exempel kunna användas i robotens resonemang och planering för att ta beslut och i sin tur förbättra samarbetet mellan människa och robot. Vi föreslår att förbättra befintliga aktivitetsidentifierare genom att tillföra förmågan att tolka immateriella beteenden hos människan, såsom stress, motivation och fokus. Att kunna urskilja lagaktiviteter inom ett mänskligt lag är grundläggande för en robot som ska vara till stöd för laget. Dolda markovmodeller har tidigare visat sig vara mycket effektiva för just aktivitetsidentifiering och har därför använts i detta arbete. För att en robot ska kunna ha möjlighet att ge ett effektivt stöd till ett mänskligtlag måste den inte bara ta hänsyn till rumsliga parametrar hos lagmedlemmarna utan även de psykologiska. För att tyda psykologiska parametrar hos människor förespråkar denna masteravhandling utnyttjandet av mänskliga kroppssignaler. Signaler så som hjärtfrekvens och hudkonduktans. Kombinerat med kroppenssignalerar påvisar vi möjligheten att använda systemdynamiksmodeller för att tolka immateriella beteenden, vilket i sin tur kan stärka människo-medvetenheten hos en robot.

The thesis work was conducted in Stockholm, Kista at the department of Informatics and Aero System at Swedish Defence Research Agency.

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Robidoux, Serje Marc. "Reading Aloud: Feedback is Never Necessary." Thesis, 2010. http://hdl.handle.net/10012/5661.

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Since McClelland and Rumelhart (1981) introduced the concept of interactive activation (IA) to the field of visual word recognition, IA has been adopted by all of the major theoretical models of reading aloud. This widespread adoption of IA has not been met with a close examination of the need for the principle features of this processing approach. In particular, IA assumes feedback from later processing modules to earlier processing modules. Though there exist data that can be explained by such feedback mechanisms, and indeed IA may be an intuitive approach to complex tasks like reading, little effort has been made to explain these same phenomena without feedback. In the present study I apply Occam’s razor to the most successful model of reading aloud (CDP+; Perry, Ziegler, & Zorzi, 2007) and test whether feedback is needed to simulate any of the benchmark phenomena identified by Perry et al. (2007) and Coltheart, Rastle, Perry, Langdon and Ziegler (2001). I find that the data currently do not require any feedback mechanisms in reading aloud, and thus conclude that modelers in reading aloud have been too quick to adopt the principles of IA.
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Sivakumar, Aruna. "Toward a comprehensive, unified, framework for analyzing spatial location choice." Thesis, 2005. http://hdl.handle.net/2152/2315.

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James, Rosemary Fitzgerald. "Citizens' juries and deliberative valuation : evaluating their potential use in participatory environmental management." Phd thesis, 2003. http://hdl.handle.net/1885/148461.

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Hoffman, Leslie Ann. "An exploration of reflective writing and self-assessments to explain professionalism lapses among medical students." Thesis, 2014. http://hdl.handle.net/1805/5931.

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Indiana University-Purdue University Indianapolis (IUPUI)
Background: Recent literature on medical professionalism claims that self-awareness and the ability to reflect upon one’s experiences is a critical component of professionalism; however there is a paucity of empirical evidence to support this claim. This study employed a mixed methods approach to explore the utility of reflective writing and self- and peer assessments in explaining professionalism lapses among medical students. Methods: A retrospective case-control study was conducted using students from Indiana University School of Medicine (IUSM) who had been disciplined for unprofessional behavior between 2006-2013 (case group; n=70). A randomly selected control group (n=230) was used for comparison. Reflective ability was assessed using a validated rubric to score students’ professionalism journals. Mean reflection scores and assessment scores were compared using t-tests. Logistic regression analysis was used to determine the impact of reflection scores and self- and peer assessment scores on the likelihood of having been disciplined for unprofessional behavior. Subsequent qualitative analysis further explored when and how students learned professionalism during their clinical experiences. Results: The study found that students in the case group exhibited lower reflective ability than control students. Furthermore, reflective ability was a significant factor in explaining the odds that a student had been cited for professionalism lapses. There were no differences in self-assessment scores between the two groups, but students in the case group had significantly lower peer assessment scores than control students. Peer assessment scores also had the greatest influence on the odds that a student had been cited for professionalism deficiencies during medical school. Qualitative analysis revealed that students learn professionalism from role models who demonstrated altruism and respect (or lack thereof). Conclusions: These findings suggest that students should be provided with guidance and feedback on their reflective writing to promote higher levels of reflection, which may reduce the number of students who are cited for professionalism lapses. These findings also indicate that peer assessments can be used to provide students with insightful feedback regarding their professional development. Finally, role models have a strong influence on students’ professional development, and therefore must be cognizant of the implicit messages their behaviors convey.
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Giles, Clark Andrew. "Regime fatigue : a cognitive-psychological model for identifying a socialized negativity effect in U.S. Senatorial and Gubernatorial elections from 1960-2008." Thesis, 2014. http://hdl.handle.net/1805/4649.

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Indiana University-Purdue University Indianapolis (IUPUI)
This research project proposes to try to isolate and measure the influence of “regime fatigue” on gubernatorial elections and senatorial elections in the United States where there is no incumbent running. The research begins with a review of the negativity effect and its potential influence on schema-based impression forming by voters. Applicable literature on the topics of social clustering and homophily is then highlighted as it provides the vehicle through which the negativity effect disseminates across collections of socially-clustered individuals and ultimately contributes to changing tides of public opinion despite the fact that the political party identification can remain relatively fixed in the aggregate.
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Books on the topic "Feedback (Psychology) Econometric models"

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Aizenman, Joshua. On the two way feedback between financial and trade openness. Cambridge, MA: National Bureau of Economic Research, 2004.

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Kendrick, David A. Feedback: A new framework for macroeconomic policy. Dordrecht: Kluwer Academic Publishers, 1988.

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Goyal, Ashima. Monetary policy, forex markets, and feedback under uncertainty in an opening economy. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 2009.

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Goyal, Ashima. Monetary policy, forex markets, and feedback under uncertainty in an opening economy. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 2009.

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Fryer, Roland G. Categorical redistribution in winner-take-all markets. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Hernández, Leonardo. Determinants of private capital flows in the 1970s and 1990s: Is there evidence of contagion? [Washington, D.C.]: International Monetary Fund, IMF Institute, 2001.

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Basu, Ritu. Financial contagion and investor "learning": An empirical investigation. [Washington, D.C.]: International Monetary Fund, Monetary and Exchange Affairs Department, 2002.

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Chan-Lau, Jorge A. Extreme contagion in equity markets. [Washington, D.C.]: International Monetary Fund, International Capital Markets Department, 2002.

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Corsetti, Giancarlo. Correlation analysis of financial contagion: What one should know before running a test. [Roma]: Banca d'Italia, 2001.

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Brock, William A. Discrete choice with social interactions I: Theory. Cambridge, MA: National Bureau of Economic Research, 1995.

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Book chapters on the topic "Feedback (Psychology) Econometric models"

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Schmidt, Jan-Erik, and Caterina Gawrilow. "Reciprocal Student–Teacher Feedback: Effects on Perceived Quality of Cooperation and Teacher Health." In Student Feedback on Teaching in Schools, 191–205. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75150-0_12.

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AbstractHigh lesson quality in schools is, in addition to other factors, the result of good cooperation between teachers and students. The long history of research on offer-use models of lesson quality and student–teacher relationships documents this interaction. Feedback focused on expressing the quality of cooperation can lead to higher quality of cooperation. The fact that feedback is reciprocal, from teacher to student and vice versa, helps to avoid effects of perceived injustice and rejections of feedback which otherwise are severe obstacles to the efficient use of feedback. High-frequency applications of feedback allow for the timely detection of (positive and negative) critical fluctuations of cooperation between individuals and groups and for the monitoring of processes of adaptation, as shown in other areas of applied psychology. This chapter describes the theoretical parameters of such a feedback method for students and teachers, and outlines results of an empirical study on the effects of the reciprocal method on (1) perceived quality of cooperation and (2) teacher health. Results show that, subsequent to a three-month period of reciprocal feedback, the quality of cooperation as perceived by both students and their teachers increases significantly and teacher health scores improve significantly. Reciprocal feedback techniques should be considered in teacher education and teacher training as a way to help teachers to initiate processes of improvement of lesson quality.
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Combs, Allan. "States of Consciousness and Self-Organization." In Chaos and Nonlinear Psychology, 128–37. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190465025.003.0007.

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This chapter explains that like biological ecologies, consciousness is stabilized in nonlinear, chaotic, self-creating, or “autopoietic” contexts that are never at rest but continuously recreating themselves through feedback and feed-forward processes. Nonlinearity is virtually universal in biological as well as natural cognitive systems. Unlike mathematical models of highly abstracted events that take place outside of real-world contexts, these systems are famously unpredictable, though often successfully characterized in general terms as recognizable patterns. Like the weather, the interior “stream of consciousness,” first described in detail by William James during the late 19th century, follows recognizable patterns over time, yet cannot be predicted in detail. The motion of a marble rolling in a grooved space, or “basin,” is often used to models systems. Natural nonlinear systems tend to be complex, so that small changes sometimes produce unexpected consequences. This is especially true in hypercomplex real-world environmental ecological systems, and it is true for human experience itself, which can be dramatically shifted by minute chemical changes in the brain, or changes in internal events such as the onset of sleep or dreaming.
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Mouna, Aloui, and Jarboui Anis. "The Primary Origin of the Financial Crisis." In Financial Crises - A Selection of Readings. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.86173.

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This paper examines the relationship between the stock return volatility, outside directors, independent directors, and variable control using simultaneous-equation panel data models for a panel of 89 France-listed companies on the SBF 120 over the period of 2006–2012. Our results showed that the outside directors (FD) and audit size increase the stock return volatility. Furthermore, the results indicate that the independent directors and ROA have a negative effect on the stock return volatility; this result indicates that these variables contribute to decrease and stabilize the stock return volatility. This study employs a variety of econometric models, including feedback, to test the robustness of our empirical results. Also, we examine the relationship between the corporate governance and the stock returns volatility, exchange rate, and treasury bill using GARCH-BEKK model for a panel of 99 French firms over the period of 2006–2013.
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Byers, Celina. "Combining Instructional Design and Game Design." In Digital Simulations for Improving Education, 87–100. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-322-7.ch005.

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The desired outcome of instructional game design is to combine the powerful attraction of games and the proven effectiveness of instructional system design (ISD). This combination would have the capacity to focus player concentration on game play and learning the planned content in order to successfully complete the game. Conjoining game design elements (e.g., rules, goals and objectives, outcomes and feedback, conflict and challenge, interaction, representation or story) with ISD elements (e.g., analysis, design, development, implementation, evaluation) may be the means of reaching the desired outcome. Applying recent findings (e.g., working memory capacity, mental models, memory consolidation) from cognitive psychology may provide further assistance.
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Conference papers on the topic "Feedback (Psychology) Econometric models"

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Cook, Gary A. S., and Naresh R. Pandit. "Clustering and the internationalisation of high technology small firms in film and television." In 16th Annual High Technology Small Firms Conference, HTSF 2008. University of Twente, 2008. http://dx.doi.org/10.3990/2.268488363.

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This paper draws together three strands of literature, that on clustering, entrepreneurship and international business, examining the relationship between these three in promoting firm formation and growth within clusters. The evidence drawn on includes econometric models based on the unique International Trade in Services Film and Television dataset, an in-depth interview survey and questionnaire survey. The key conclusions are firstly that strong clusters promote entrepreneurship, which in turn promotes cluster strength in a self-reinforcing dynamic. Secondly, some firms are better able than others to benefit from cluster location due to superior firm competencies and absorptive capacity. Thirdly, cluster strength and internationalization are mutually reinforcing. Cluster strength contributes to the ability of entrepreneurial firms to expand overseas via export sales, licensing and FDI. Evidence is presented which indicates firms have greater intensity of export and import activity if they have resource-strengths, some of which are derived from their membership of a strong cluster. Strong clusters also attract multinationals and in the case of the London media cluster, although those multinationals appear somewhat less embedded than non-MNEs, they are nevertheless quite strongly embedded. This means that there is a second important feedback loop as spillovers from MNEs to local firms enhances cluster strength which attracts further multinationals. The acquisition of high performing firms by overseas MNEs does not appear to have reduced either their performance or their embeddedness in the cluster. Fourthly, the nature of internationalization strategies are conditioned by firm and industry characteristics. In particular, the extent to which tacit knowledge is embodied in a product emerges as being influential in terms of the decision of which internationalisation mode to use. Finally, the resource-based view of the firm emerges as a useful integrative framework for understanding the interplay between clusters, entrepreneurship and internationalisation strategies.
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M. Bahgat, Mohamed, Ashraf Elsafty, and Ashraf Shaarawy. "Validating the Impact of FIRST as a New Learner Experience Framework for Teachers Professional Development." In International Conference on Education. The International Institute of Knowledge Management, 2020. http://dx.doi.org/10.17501/24246700.2020.6204.

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Teachers’ Professional Development ‘TPD’ has always been an area of growing interest in educational research. Several researchers have thoroughly explored the TPD domain aiming to develop and train teachers on how to understand, experience, practice and have a sustainable impact on learners. FIRST (Bahgat et al. 2018) is a new learner experience framework, which consists of five domains; focusing on learner ‘ F’, interacting within group dynamics ‘ I’, reviewing actively ‘R’, structuring and sequencing ‘S’, and transforming learning into performance ‘T’. It is designed based on educational psychology, neuroscience, and cognitive psychology, to create a framework that promotes active deep learning and inspires a positive transformation in mindset and behaviours. FIRST was applied on a TPD program named Roadmap of Outstanding Educators ‘ROOTS’. The participants were one hundred and seven teachers. This paper attempts to explore the impact of FIRST Framework on TPD, teachers experience as learners and teachers motivation to transfer their learning into performance in the classrooms. The study employed exploratory sequential mixed methods design using case study methodology. Qualitative data was analysed and interpreted into codes and themes. Quantitative data was analysed using SPSS. Major findings: (1) Teachers reported that FIRST is comprehensive and compiles various educational theories, models and strategies, they were able to apply the principles and strategies in their classrooms immediately after the professional program days were over, (2) Student’s feedback and overall experience were enhanced, (3) Some schools has adopted FIRST as a learner experience. These findings recommended that teachers should live the TPD experience as learners. The TPD programs should include follow up phase to enhance teachers’ experience and encourage the transfer of learning into performance. Keywords: Active Learning; Deep Learning; Student Experience; Teachers Professional Developmen
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Feinauer, Sophie, Irene Groh, and Tibor Petzoldt. "Driver instruction for automated vehicles: Assessing the role of specific elements on learner motivation and mental model development." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002482.

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Along with the increasing degree of automation of the driving task, calls for user education on automated driving have emerged. Indeed, previous studies could show positive effects of user education, e.g., on driving performance and mental model development. However, recent research has not yet examined the effectiveness of specific elements in that context. Research in educational psychology has shown that motivation to learn is crucial for learning success. Thus, in the present study we examined the role of specific instructional elements on learner motivation for automated vehicles.Following psychological needs theory, we examined the influence of autonomy and competence on the dependent variables intrinsic learning motivation and mental model development, trust in and acceptance of the automated vehicle. To that end, we developed learning material on an automated vehicle that was embedded in an online study and structured into four topics. Depending on the experimental group, different elements were added to this material to assess their effect on the dependent variables.A total of N = 193 participants took part in the online study. Participants were randomly assigned to one of four groups: (1) A group that could freely choose the order in which they read the provided topics to operationalize the aspect of autonomy. (2) A group that received feedback on answering simple yes/no questions after reading the instructions on each topic to operationalize the aspect of competence. (3) A group that received a combination of both autonomy and competence elements, and (4) a control group that read the material without any further manipulation. Participants’ mental models were assessed with a questionnaire for declarative knowledge and 17 pictures (created in a simulation program) of an automated vehicle from the driver’s perspective in different situations. Participants should anticipate the automated vehicle’s behavior in the given situation and choose the correct action. In addition, to allow for a longitudinal assessment, we also evaluated the dependent variables in a follow-up survey two weeks later.Statistical analysis indicated that combination and competence groups exhibited in tendency more motivation to learn the content than the autonomy and control groups. Incorporation of feedback elements thus seemed to have successfully facilitated learning motivation. Concerning the participants’ mental models, results indicate that the competence group showed a better declarative knowledge compared to the autonomy group, although all groups showed a decline in their knowledge after two weeks. However, concerning situation specific knowledge, no group differences were found. A significant interaction effect indicated that at follow-up, participants in the competence group reported higher trust ratings than the other groups. No significant effects for acceptance were found. Taken together, results indicate that by fostering feelings of competence, mental model formation for automated vehicles can be supported. However, contrary to our expectation, offering learners the freedom to choose their own order of learning did neither facilitate intrinsic motivation nor trust or mental model development. Thus, this study suggests that feedback elements support learning outcomes for driver instruction of automated vehicles and can be incorporated into different means of instruction.
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Lopez, Juan Carlos, Monica Alexandra Lopez, Walter Friedl, Maria Elena Arango, Monica Cristina Duran, Hamed Al Shibani, David Allison, and Pierre Bordage. "Using Behavior Science to Maximize Human Performance." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207918-ms.

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Abstract Authors use behavior science to help organizations maximize human performance through a cost-effective and sustainable approach. Such approach is based on transformational leaders and employees’ engagement, so they embrace a humanized management system by conviction, not by imposition. This paper shows how to use organizational psychology principles in real case applications, resulting in holistic business improvements, including financial, safety and service quality performance. The authors developed the Engineering Human Performance (EHP) methodology, by improving the Behavior Engineering Methodology (Lopez, et. al., 2020) to help organizations achieve outstanding and sustainable levels of human performance. Over the last ten years, this methodology was successfully applied to more than 50 business processes in an oilfield services company. The EHP four-stages process uses frontline employees’ wisdom to identify sources of behavioral variance, measure adherence to expected behaviors and formulate changes to the operational context to pursue high levels of procedural adherence, sustainably. EHP incorporated statistic models to demonstrate its significant impact to business results, using a fit-for-purpose digital platform. A combination of a coaching program for managers to embrace a leading with purpose approach (Sinek, 2020), and workshops with the front-line associates, generate a healthy flow of communication across the organization. The leading with purpose program improves managers’ leadership by voluntarily selecting and engineering transformational behaviors they adapt and adopt to improve the effectiveness of their leadership style. The impact of the program is measured for statistical significance by applying the Multi-Factor Leadership Questionnaire (Boss, Avolio, 1996) before the coaching program starts, and 90 days after the last session. Workshops with front-line associates use scientific principles to understand the sources of behavioral variance and formulate intervention plans that drive procedural adherence by conviction, not by imposition. An innovative element of EHP is the ‘behavior empowerment center (BEC)’. The BEC coordinates the systematic measurement of adherence to critical behaviors in the front-line, captures and verifies statistical significance of the data, analyzes trends, and prepares reports depicting the levels of behavioral adherence, so crews receive soon, certain, and positive feedback on a regular basis. This feedback loop elicits levels of adherence above 90%, sustainably, and eliminates losses associated to behavioral variance. The BEC uses a unique digital platform designed to bring consistency to the feedback loop to front-line employees and managers. A case study is used to exemplify how EHP is being applied by a major rig company, to improve human performance in workover operations. The paper illustrates the remarkable results of the leading with purpose program and describes the Stages 1 (select processes that are causing loss), 2 (behavior analysis), 3 (baseline and intervention) and Stage 4 (scale-up) of the EHP methodology. Authors consider that EHP offers an innovative, and cost-effective approach to helping organizations maximize human performance, in a systematic and sustainable manner. The application of the methodology shall not be limited to the oil and gas industry, as the focus on incorporating the human factor to inconsistently applied processes is affecting many industries, if not all. The main challenge faced by authors in the implementation of the methodology is management commitment. Some managers expect improvement programs to bring immediate results, which could undermine the sustainability of the benefits. EHP grants sustainable improvements, provided the organization is committed to scale-up the program until results are significant. Achieving these milestones require time (from 6 months to 2 years), resources, and persistency. The leading with purpose program has proven effective in getting the proper levels of management commitment, to support EHP and deliver outstanding results. The paper shows a statistically significant improvement in the leadership style of the management team and how it is helping the business of the case-study company. As for the way forward, authors are exploring options to incorporate artificial intelligence into the behavioral measurement, not to replace the face-to-face interactions, but to increase the accuracy of the behavioral measurement and speed up the feedback loop.
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