Review and Analysis of thought Records: Creating a Coding System

2019 ◽  
Vol 15 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Scott H. Waltman ◽  
Sarah A. Frankel ◽  
Brittany C. Hall ◽  
Michael A. Williston ◽  
Shari Jager-Hyman
Keyword(s):  
Cognitive Psychology ◽  
Cognitive Change ◽  
Future Research ◽  
Cognitive Behavior ◽  
Clinical Effects ◽  
Change Strategies ◽  
Coding System ◽  
Core Component ◽  
Differential Utility ◽  
Over Time

Background: Thought records are a core component of Cognitive Behavior Therapy. Over time, thought records have been modified to suit various needs or preferences. A diversity of thought records have been developed, which include differing components and cognitive change strategies. Yet, due to a lack of specificity in the literature and field, different thought records are often treated as though they are interchangeable. Limited extant literature suggests that differing thought records may have unique clinical effects. However, meta-analyzing the comparable or differing effects of the distinct extant thought records is impeded by the lack of a coding system for thought records. Objective: The current study sought to prepare a way for further understanding the differential utility and effectiveness of different iterations of thought records by creating a coding system, which is described in detail. This coding system will be used to guide future research into which thought records work best for which problems. Method: Thought records were gathered from seminal texts and solicited from the certified members of the Academy of Cognitive Therapy and the American Board of Behavioral and Cognitive Psychology. Results: In total, 110 non-identical thought records were gathered and coded into 55 unique combinations. These results demonstrate that the variability of thought records used by qualified therapists extends well beyond those found in seminal CBT texts. Conclusion: This broad diversity justifies the need for a coding system to inform future lines of research.

Political psychology in the digital (mis)information age: A model of news belief and sharing

2020 ◽  
Author(s):  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris ◽  
Philip Pärnamets ◽  
Steve Rathje ◽  
Kimberly Doell ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Psychology ◽  
Information Age ◽  
Policy Research ◽  
Integrative Model ◽  
Future Research ◽  
Fake News ◽  
Policy Makers ◽  
Conspiracy Theories ◽  
The Social

The spread of misinformation, including “fake news,” propaganda, and conspiracy theories, represents a serious threat to society, as it has the potential to alter beliefs, behavior, and policy. Research is beginning to disentangle how and why misinformation is spread and identify processes that contribute to this social problem. We propose an integrative model to understand the social, political, and cognitive psychology risk factors that underlie the spread of misinformation and highlight strategies that might be effective in mitigating this problem. However, the spread of misinformation is a rapidly growing and evolving problem; thus scholars need to identify and test novel solutions, and work with policy makers to evaluate and deploy these solutions. Hence, we provide a roadmap for future research to identify where scholars should invest their energy in order to have the greatest overall impact.

Interpersonal Psychotherapy for the Treatment of Eating Disorders

2010 ◽  
pp. 347-372 ◽  
Author(s):  
Marian Tanofsky-Kraff ◽  
Denise E. Wilfley
Keyword(s):  
Anorexia Nervosa ◽  
Clinical Care ◽  
Interpersonal Psychotherapy ◽  
Future Research ◽  
Cognitive Behavior ◽  
Research Directions ◽  
Routine Clinical Care ◽  
Interpersonal Factors ◽  
Future Research Directions

Interpersonal psychotherapy (IPT) is a focused, time-limited treatment that targets interpersonal problem(s) associated with the onset and/or maintenance of EDs. IPT is supported by substantial empirical evidence documenting the role of interpersonal factors in the onset and maintenance of EDs. IPT is a viable alternative to cognitive behavior therapy for the treatment of bulimia nervosa and binge eating disorder. The effectiveness of IPT for the treatment of anorexia nervosa requires further investigation. The utility of IPT for the prevention of obesity is currently being explored. Future research directions include enhancing the delivery of IPT for EDs, increasing the availability of IPT in routine clinical care settings, exploring IPT adolescent and parent–child adaptations, and developing IPT for the prevention of eating and weight-related problems that may promote full-syndrome EDs or obesity.

scholarly journals Research Creativity and Productivity in Political Science: A Research Agenda for Understanding Alternative Career Paths and Attitudes Toward Professional Work in the Profession

2019 ◽  
Vol 53 (1) ◽  
pp. 79-83
Author(s):  
Kim Quaile Hill
Keyword(s):  
Research Productivity ◽  
Career Paths ◽  
Research Agenda ◽  
Scientific Literature ◽  
Future Research ◽  
Scientific Career ◽  
Scientific Careers ◽  
Publication Success ◽  
General Scientific ◽  
Over Time

ABSTRACTA growing body of research investigates the factors that enhance the research productivity and creativity of political scientists. This work provides a foundation for future research, but it has not addressed some of the most promising causal hypotheses in the general scientific literature on this topic. This article explicates the latter hypotheses, a typology of scientific career paths that distinguishes how scientific careers vary over time with respect to creative ambitions and achievements, and a research agenda based on the preceding components for investigation of the publication success of political scientists.

A Downward Spiral? A Panel Study of Misinformation and Media Trust in Chile

2021 ◽  
pp. 194016122110252
Author(s):  
Sebastián Valenzuela ◽  
Daniel Halpern ◽  
Felipe Araneda
Keyword(s):  
News Media ◽  
Panel Study ◽  
Future Research ◽  
Panel Survey ◽  
Downward Spiral ◽  
The Media ◽  
Media Trust ◽  
People’S Attitudes ◽  
Over Time

Despite widespread concern, research on the consequences of misinformation on people's attitudes is surprisingly scant. To fill in this gap, the current study examines the long-term relationship between misinformation and trust in the news media. Based on the reinforcing spirals model, we analyzed data from a three-wave panel survey collected in Chile between 2017 and 2019. We found a weak, over-time relationship between misinformation and media skepticism. Specifically, initial beliefs on factually dubious information were negatively correlated with subsequent levels of trust in the news media. Lower trust in the media, in turn, was related over time to higher levels of misinformation. However, we found no evidence of a reverse, parallel process where media trust shielded users against misinformation, further reinforcing trust in the news media. The lack of evidence of a downward spiral suggests that the corrosive effects of misinformation on attitudes toward the news media are less serious than originally suggested. We close with a discussion of directions for future research.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

First encounter effects in testing of highly automated vehicles during two experimental occasions – The need for recurrent testing

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jonas Andersson ◽  
Azra Habibovic ◽  
Daban Rizgary
Keyword(s):  
Driver Behavior ◽  
Added Value ◽  
Future Research ◽  
Gaze Behavior ◽  
Repeated Testing ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Perceived Safety ◽  
Repeated Interaction ◽  
Over Time

Abstract To explore driver behavior in highly automated vehicles (HAVs), independent researchers are mainly conducting short experiments. This limits the ability to explore drivers’ behavioral changes over time, which is crucial when research has the intention to reveal human behavior beyond the first-time use. The current paper shows the methodological importance of repeated testing in experience and behavior related studies of HAVs. The study combined quantitative and qualitative data to capture effects of repeated interaction between drivers and HAVs. Each driver ( n = 8 n=8 ) participated in the experiment on two different occasions (∼90 minutes) with one-week interval. On both occasions, the drivers traveled approximately 40 km on a rural road at AstaZero proving grounds in Sweden and encountered various traffic situations. The participants could use automated driving (SAE level 4) or choose to drive manually. Examples of data collected include gaze behavior, perceived safety, as well as interviews and questionnaires capturing general impressions, trust and acceptance. The analysis shows that habituation effects were attenuated over time. The drivers went from being exhilarated on the first occasion, to a more neutral behavior on the second occasion. Furthermore, there were smaller variations in drivers’ self-assessed perceived safety on the second occasion, and drivers were faster to engage in non-driving related activities and become relaxed (e. g., they spent more time glancing off road and could focus more on non-driving related activities such as reading). These findings suggest that exposing drivers to HAVs on two (or more) successive occasions may provide more informative and realistic insights into driver behavior and experience as compared to only one occasion. Repeating an experiment on several occasions is of course a balance between the cost and added value, and future research should investigate in more detail which studies need to be repeated on several occasions and to what extent.

How Collective-Action Failure Shapes Group Heterogeneity and Engagement in Conventional and Radical Action Over Time

2021 ◽  
pp. 095679762097056
Author(s):  
Morgana Lizzio-Wilson ◽  
Emma F. Thomas ◽  
Winnifred R. Louis ◽  
Brittany Wilcockson ◽  
Catherine E. Amiot ◽  
...  
Keyword(s):  
Social Movements ◽  
Collective Action ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Social Identification ◽  
Future Research ◽  
Group Efficacy ◽  
Before And After ◽  
Using Data ◽  
Over Time

Extensive research has identified factors influencing collective-action participation. However, less is known about how collective-action outcomes (i.e., success and failure) shape engagement in social movements over time. Using data collected before and after the 2017 marriage-equality debate in Australia, we conducted a latent profile analysis that indicated that success unified supporters of change ( n = 420), whereas failure created subgroups among opponents ( n = 419), reflecting four divergent responses: disengagement (resigned acceptors), moderate disengagement and continued investment (moderates), and renewed commitment to the cause using similar strategies (stay-the-course opponents) or new strategies (innovators). Resigned acceptors were least inclined to act following failure, whereas innovators were generally more likely to engage in conventional action and justify using radical action relative to the other profiles. These divergent reactions were predicted by differing baseline levels of social identification, group efficacy, and anger. Collective-action outcomes dynamically shape participation in social movements; this is an important direction for future research.

Development of standardized regression-based formulas to assess meaningful cognitive change in early Parkinson’s disease

2020 ◽  
Author(s):  
Hannah L Combs ◽  
Kate A Wyman-Chick ◽  
Lauren O Erickson ◽  
Michele K York
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Test Scores ◽  
Prediction Models ◽  
Early Stage ◽  
Cognitive Change ◽  
Cognitive Test ◽  
Healthy Controls ◽  
Change Over Time ◽  
Over Time

Abstract Objective Longitudinal assessment of cognitive and emotional functioning in patients with Parkinson’s disease (PD) is helpful in tracking progression of the disease, developing treatment plans, evaluating outcomes, and educating patients and families. Determining whether change over time is meaningful in neurodegenerative conditions, such as PD, can be difficult as repeat assessment of neuropsychological functioning is impacted by factors outside of cognitive change. Regression-based prediction formulas are one method by which clinicians and researchers can determine whether an observed change is meaningful. The purpose of the current study was to develop and validate regression-based prediction models of cognitive and emotional test scores for participants with early-stage idiopathic PD and healthy controls (HC) enrolled in the Parkinson’s Progression Markers Initiative (PPMI). Methods Participants with de novo PD and HC were identified retrospectively from the PPMI archival database. Data from baseline testing and 12-month follow-up were utilized in this study. In total, 688 total participants were included in the present study (NPD = 508; NHC = 185). Subjects from both groups were randomly divided into development (70%) and validation (30%) subsets. Results Early-stage idiopathic PD patients and healthy controls were similar at baseline. Regression-based models were developed for all cognitive and self-report mood measures within both populations. Within the validation subset, the predicted and observed cognitive test scores did not significantly differ, except for semantic fluency. Conclusions The prediction models can serve as useful tools for researchers and clinicians to study clinically meaningful cognitive and mood change over time in PD.

Trajectory of Performance Status and Symptom Scores for Patients With Cancer During the Last Six Months of Life

2011 ◽  
Vol 29 (9) ◽  
pp. 1151-1158 ◽  
Author(s):  
Hsien Seow ◽  
Lisa Barbera ◽  
Rinku Sutradhar ◽  
Doris Howell ◽  
Deborah Dudgeon ◽  
...  
Keyword(s):  
Performance Status ◽  
Symptom Assessment ◽  
Well Being ◽  
Assessment System ◽  
Assessment Tools ◽  
Future Research ◽  
Patients With Cancer ◽  
Average Pain ◽  
Observational Cohort ◽  
Over Time

Purpose Ontario's cancer system is unique because it has implemented two standardized assessment tools population-wide to improve care: the Edmonton Symptom Assessment System (ESAS) measures severity of nine symptoms (scale 0 to 10; 10 indicates the worst) and the Palliative Performance Scale (PPS) measures performance status (scale 0 to 100; 0 indicates death). This article describes the trajectory of ESAS and PPS scores 6 months before death. Patients and Methods Observational cohort study of cancer decedents between 2007 and 2009. Decedents required ≥1 ESAS or PPS assessment in the 6 months before death for inclusion. Outcomes were the decedents' average ESAS and PPS scores per week before death. Results Ten thousand seven hundred fifty-two (ESAS) and 7,882 (PPS) decedents were included. The mean age was 65 years, half were female, and approximately 75% of assessments occurred in cancer clinics. Average PPS score declined slowly over the 6 months before death, starting at approximately 70 and ending at 40, declining more rapidly in the last month. For ESAS symptoms, average pain, nausea, anxiety, and depression scores remained relatively stable over the 6 months. Conversely, shortness of breath, drowsiness, well-being, lack of appetite, and tiredness increased in severity over time, particularly in the month before death. More than one third of the cohort reported moderate to severe scores (ie, 4 to 10) for most symptoms in the last month of life. Conclusion In this large outpatient cancer population, trajectories of mean ESAS scores followed two patterns: increasing versus generally flat. The latter was perhaps due to available treatment (eg, prescriptions) for those symptoms. Future research should prioritize addressing symptoms that worsen over time.

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