This paper presents a meta-analysis that investigates psychological design factors that can explain the efficacy of online behavioural change interventions. It makes a clear distinction between mass-media, interpersonal and mixed, mass-interpersonal communications. To this end, a model, called ‘the Communication-Based Influence Components Model’, is used to synthesize behavioural change and persuasion taxonomies.
Integrating communications in evaluationGlenn O'Neil
How can communications be used to optimally support the evaluation process? What are the myths of using communications for evaluations? Originally presented to the Geneva Evaluation Network and the ILO Evaluation Office, January 2020
The Key Challenge in Behavioural ResearchQualtrics
In this webinar, Dr. Esther Tippmann will explain the Common Methods Bias - a well-documented phenomenon observed in research based on self-reported measures.
We often use surveys in which respondents are asked about their perceptions, feelings, attitudes or beliefs. Under certain circumstances such self-reported data can suffer from severe quality issues. It is the aim of this webinar to introduce some of these and discuss effective survey design remedies.
Voice of the Parent: How Schools can Engage with ParentsQualtrics
Although there is clear, consistent evidence from the last five decades to show that learner outcomes (attendance, behaviours, school retention, academic achievement and wellbeing) improve when parents are engaged with their child's learning, there are challenges around what this engagement looks like and how to engage with parents in a productive manner.
The question remains: How can schools engage with parents in ways that will benefit student learning outcomes while simultaneously developing mutually acceptable and beneficial parent-school relationships?
In this webinar Qualtrics and CIRCLE discuss this question and explore how schools can use surveys to build a voice of parent program to strengthen parent-school relationships.
Practice-Level Correlates of Patient-Centered Medical Home Characteristics: A...Marion Sills
For more on SAFTINet please see http://www.ucdenver.edu/academics/colleges/medicalschool/programs/outcomes/COHO/saftinet/Pages/default.aspx
Research Objective: Evidence suggests the patient centered medical home (PCMH) model should improve delivery of preventive care services, lower cost, and enhance quality of care. Widespread but varied PCMH implementation offers the opportunity to conduct observational comparative effectiveness research in real-world settings on the impact of specific PCMH functions on clinical outcomes. We examined a series of practice-level characteristics (hypothesized common causes of both PCMH characteristics and clinical outcomes) as possible correlates of PCMH characteristics and confounders of the PCMH- outcomes relationship.
Study Design: Self-report practice-level surveys were administered in 51 primary care practices in the Scalable Architecture for Federated Translational Inquiries Network (SAFTINet), Practice leadership completed (1) the SAFTINet Delivery of Coordinated Care Survey (DoCCS), a measure of multiple PCMH domains including team-based care, panel management, and enhanced access; and (2) a survey of general practice characteristics, including organizational features, patient population, provider/staff characteristics, and health information technology infrastructure. We examined variability in DoCCS total and domain scores and correlations between DoCCS scores and select practice characteristics in 47 practices with complete data.
Population Studied: Participating practices are primarily federally qualified health centers with electronic health records, representing ~260,000 patients (30% covered by Medicaid), 500 primary care providers, and four safety net healthcare organizations in Colorado and Tennessee.
Principal Findings: Total DoCCS scores were moderate to high (M = 3.70, SD = 0.54) on a scale of 1 to 5, with no significant mean differences among the four organizations. Domain scores were as follows: Personal clinician (M = 4.43, SD = 0.59), Team-based care (M = 3.34, SD = 1.43), Access (M = 3.82, SD = 0.53), Patient centeredness (M = 3.77, SD = 0.72), Coordinated/Integrated care (M = 3.82, SD = 0.51), Quality Improvement (M = 3.56, SD = 0.58), Evidence-Based Medicine (M = 3.42, SD = 0.91), Engaged Leadership (M = 3.40, SD = 0.89), and Registries (M = 3.98, SD = 1.04). Characteristics of patient population that were positively related to total score include proportion of Caucasian patients and proportion of patients for whom English is their first language. Domain-specific results will also be presented.
Conclusions: Of practices in SAFTINet, there was variability across practices in DoCCS scores, suggesting that the DoCCS can detect variation in PCMH characteristics. Practices caring for more minority and non-English- speakers.
The Usability Perception Scale (UPscale): A Measure for Evaluating Feedback D...Beth Karlin
1. Address the unique needs of eco-feedback displays (as opposed to systems or products)
2. Incorporate validated sub-scales for ease of use and engagement
Integrating communications in evaluationGlenn O'Neil
How can communications be used to optimally support the evaluation process? What are the myths of using communications for evaluations? Originally presented to the Geneva Evaluation Network and the ILO Evaluation Office, January 2020
The Key Challenge in Behavioural ResearchQualtrics
In this webinar, Dr. Esther Tippmann will explain the Common Methods Bias - a well-documented phenomenon observed in research based on self-reported measures.
We often use surveys in which respondents are asked about their perceptions, feelings, attitudes or beliefs. Under certain circumstances such self-reported data can suffer from severe quality issues. It is the aim of this webinar to introduce some of these and discuss effective survey design remedies.
Voice of the Parent: How Schools can Engage with ParentsQualtrics
Although there is clear, consistent evidence from the last five decades to show that learner outcomes (attendance, behaviours, school retention, academic achievement and wellbeing) improve when parents are engaged with their child's learning, there are challenges around what this engagement looks like and how to engage with parents in a productive manner.
The question remains: How can schools engage with parents in ways that will benefit student learning outcomes while simultaneously developing mutually acceptable and beneficial parent-school relationships?
In this webinar Qualtrics and CIRCLE discuss this question and explore how schools can use surveys to build a voice of parent program to strengthen parent-school relationships.
Practice-Level Correlates of Patient-Centered Medical Home Characteristics: A...Marion Sills
For more on SAFTINet please see http://www.ucdenver.edu/academics/colleges/medicalschool/programs/outcomes/COHO/saftinet/Pages/default.aspx
Research Objective: Evidence suggests the patient centered medical home (PCMH) model should improve delivery of preventive care services, lower cost, and enhance quality of care. Widespread but varied PCMH implementation offers the opportunity to conduct observational comparative effectiveness research in real-world settings on the impact of specific PCMH functions on clinical outcomes. We examined a series of practice-level characteristics (hypothesized common causes of both PCMH characteristics and clinical outcomes) as possible correlates of PCMH characteristics and confounders of the PCMH- outcomes relationship.
Study Design: Self-report practice-level surveys were administered in 51 primary care practices in the Scalable Architecture for Federated Translational Inquiries Network (SAFTINet), Practice leadership completed (1) the SAFTINet Delivery of Coordinated Care Survey (DoCCS), a measure of multiple PCMH domains including team-based care, panel management, and enhanced access; and (2) a survey of general practice characteristics, including organizational features, patient population, provider/staff characteristics, and health information technology infrastructure. We examined variability in DoCCS total and domain scores and correlations between DoCCS scores and select practice characteristics in 47 practices with complete data.
Population Studied: Participating practices are primarily federally qualified health centers with electronic health records, representing ~260,000 patients (30% covered by Medicaid), 500 primary care providers, and four safety net healthcare organizations in Colorado and Tennessee.
Principal Findings: Total DoCCS scores were moderate to high (M = 3.70, SD = 0.54) on a scale of 1 to 5, with no significant mean differences among the four organizations. Domain scores were as follows: Personal clinician (M = 4.43, SD = 0.59), Team-based care (M = 3.34, SD = 1.43), Access (M = 3.82, SD = 0.53), Patient centeredness (M = 3.77, SD = 0.72), Coordinated/Integrated care (M = 3.82, SD = 0.51), Quality Improvement (M = 3.56, SD = 0.58), Evidence-Based Medicine (M = 3.42, SD = 0.91), Engaged Leadership (M = 3.40, SD = 0.89), and Registries (M = 3.98, SD = 1.04). Characteristics of patient population that were positively related to total score include proportion of Caucasian patients and proportion of patients for whom English is their first language. Domain-specific results will also be presented.
Conclusions: Of practices in SAFTINet, there was variability across practices in DoCCS scores, suggesting that the DoCCS can detect variation in PCMH characteristics. Practices caring for more minority and non-English- speakers.
The Usability Perception Scale (UPscale): A Measure for Evaluating Feedback D...Beth Karlin
1. Address the unique needs of eco-feedback displays (as opposed to systems or products)
2. Incorporate validated sub-scales for ease of use and engagement
Improving measurement through Operations Researchjehill3
Improving measurement through Operations Research
Peter Winch, Johns Hopkins Bloomberg School of Public Health
CORE Group Spring Meeting, April 28, 2010
AEJMC 2014 - How scientists see engagement goalsJohn C. Besley
This study examines scientists’ strategic communication sensibilities, specifically in terms of their valuation of five goals for online public communication. These goals include informing the public about science, exciting the public about science, strengthening the public’s trust in science, tailoring messages about science, and defending science from misinformation. We use insights from extant research, the Theory of Planned Behavior, and procedural justice theory to identify likely predictors of scientists' views about these communication goals. Results show that scientists most value communication designed to defend science from misinformation. Regression analyses reveal factors associated with valuing each of these specific communication goals (n = 390).
A non technical overview of sample size calculation and why it is necessary with some brief examples of how to approach the problem and why it is useful to actually think of these calculations.
Intentional stakeholder outreach using Outcome Mapping: Ecosystem approaches ...ILRI
Presented by Korapin Tohtubtiang, Rainer Assé, Fred Unger, Jeffrey Gilbert and Delia Grace at the 2014 EcoHealth conference, Montreal, Canada, 11-15 August 2014.
Sample size and how to calculate it
- Why sample size is important
- Alpha and beta errors
- Main outcome and Effect size
- Practical examples using Means-Proportions-Correlation- Confidence Interval
Mentor’s Quality Assurance services provide guidance and tools to support local capacity building through developing and strengthening sustainable prevention networks at a local level. The alcohol and drug education review in Brighton and Hove not only allowed Mentor to work closely with schools to understand the current capacity and expertise, but also made links and developed strategies to strengthen communication and collaboration with other relevant actors within the community.
Formation Android (Initiation à la programmation sous Android)G²FOSS ENIT
Exposé de la première séance de formation en programmation mobile sous Android, animée par Med Hossam (Elève Ingénieur en GLSI à l'ISI)
[Atelier Mobile]
Initiation Android Niveau Débutant
- Présentation de l'environnement de developpement sous Android.
- l'Architecture du Systeme d'exploitation mobile Android.
- Création d'un projet sur Android Studio.
- Présentation de l’arborescence d'un projet Android et ses différent dossiers.
Improving measurement through Operations Researchjehill3
Improving measurement through Operations Research
Peter Winch, Johns Hopkins Bloomberg School of Public Health
CORE Group Spring Meeting, April 28, 2010
AEJMC 2014 - How scientists see engagement goalsJohn C. Besley
This study examines scientists’ strategic communication sensibilities, specifically in terms of their valuation of five goals for online public communication. These goals include informing the public about science, exciting the public about science, strengthening the public’s trust in science, tailoring messages about science, and defending science from misinformation. We use insights from extant research, the Theory of Planned Behavior, and procedural justice theory to identify likely predictors of scientists' views about these communication goals. Results show that scientists most value communication designed to defend science from misinformation. Regression analyses reveal factors associated with valuing each of these specific communication goals (n = 390).
A non technical overview of sample size calculation and why it is necessary with some brief examples of how to approach the problem and why it is useful to actually think of these calculations.
Intentional stakeholder outreach using Outcome Mapping: Ecosystem approaches ...ILRI
Presented by Korapin Tohtubtiang, Rainer Assé, Fred Unger, Jeffrey Gilbert and Delia Grace at the 2014 EcoHealth conference, Montreal, Canada, 11-15 August 2014.
Sample size and how to calculate it
- Why sample size is important
- Alpha and beta errors
- Main outcome and Effect size
- Practical examples using Means-Proportions-Correlation- Confidence Interval
Mentor’s Quality Assurance services provide guidance and tools to support local capacity building through developing and strengthening sustainable prevention networks at a local level. The alcohol and drug education review in Brighton and Hove not only allowed Mentor to work closely with schools to understand the current capacity and expertise, but also made links and developed strategies to strengthen communication and collaboration with other relevant actors within the community.
Formation Android (Initiation à la programmation sous Android)G²FOSS ENIT
Exposé de la première séance de formation en programmation mobile sous Android, animée par Med Hossam (Elève Ingénieur en GLSI à l'ISI)
[Atelier Mobile]
Initiation Android Niveau Débutant
- Présentation de l'environnement de developpement sous Android.
- l'Architecture du Systeme d'exploitation mobile Android.
- Création d'un projet sur Android Studio.
- Présentation de l’arborescence d'un projet Android et ses différent dossiers.
On 29 November 2010, Dr. Brian Cugelman, Managing Director of AlterSpark and Lee Taylor, Senior Manager, Health Information Services, Heart & Stroke Foundation of Ontario will share their knowledge and experience with designing behaviour change websites that support major health promotion campaigns and strategies.
Day 2 keynote: Sanjeev Sridharan, University of Toronto: “Research and evaluation in global health policy processes”
Workshop on Approaches and Methods for Policy Process Research, co-sponsored by the CGIAR Research Programs on Policies, Institutions and Markets (PIM) and Agriculture for Nutrition and Health (A4NH) at IFPRI-Washington DC, November 18-20, 2013.
Running Head REPLY TO OPINION 5.1 FOR KIMBRILEE SCHMITZ 1REPLY.docxtoltonkendal
Running Head: REPLY TO OPINION 5.1 FOR KIMBRILEE SCHMITZ 1
REPLY TO OPINION 5.1 FOR KIMBRILEE SCHMITZ 3
Tonya Klemmer
2 posts
Re:Module 5 DQ 1
What are the most effective strategies for managing quality control on quantitative methods in program evaluation? Why are they the most effective?
When an evaluator is conducting a quantitative evaluation on an organization it is extremely important that effective strategies are applied to manage quality control. Key stakeholders are relying on the evaluator to provide reliable and valid information based on the data that has been gathered. As reported by Min, Ko, Cho, Jeong, Lee,Chun,and Cho (2015), systematic errors occur frequently in clinical laboratory test results and should be detected and corrected. This helps to ensure the validity and reliability of the results. Min et. al (2015) goes on to report that, in conclusion, the newly developed quantitative quality control procedure (QQCP) can analyze systematic errors quantitatively and be applied to every run. As with qualitative evaluations triangulation is another quality control method that can be applied to compare the results of the data as a way of maintaining the validity and reliability. As reported by Tonkin-Cline, Anthierens, Hood, Yardley, Cals, Francis, Coenen, van der Velden, Godycki-Cwirko, Llor, Butler, Verheij, Goossens, Little (2016), a triangulation protocol can also enhance the validity of findings and assess whether data agree (convergence), complement one another (complementarity) or contradict each other (dissonance). Once these things have been determined it makes it easier to make the necessary changes.
Min, W., Ko, D., Cho, E. J., Jeong, T., Lee, W., Chun, S., & Cho, H. (2015). A novel quantitative evaluation method for quality control results. Clinica Chimica Acta, 451(Part B), 175-179. doi:10.1016/j.cca.2015.09.026
Tonkin-Crine, S., Anthierens, S., Hood, K., Yardley, L., Cals, J. L., Francis, N. A., & ... Little, P. (2016). Discrepancies between qualitative and quantitative evaluation of randomised controlled trial results: achieving clarity through mixed methods triangulation. Implementation Science, 111-8. doi:10.1186/s13012-016-0436-0
Shelly Gooden
1 posts
Re:Module 5 DQ 2
Explain why quantitative methods would prove advantageous over qualitative methods in program evaluation. Are there drawbacks to using quantitative methods? If so, which ones are of greatest concern? Why?
Quantitative evaluation methods can be less expensive than qualitative methods and allow evaluators to provide results quickly. The cost savings can be made in reduced man-hours as interviews or observations are not required replaced by surveys and questionnaires (Rao & Woolcock, 2003). The instruments used in quantitative evaluation do not require coding (Choy, 2014). Quantitative instruments provide numeric or categorical data that can be analyzed after data cleaning but coding is not necessary. Again, this saves time. Surveys and q ...
Enhancing Psychotherapy Process With Common Factors Feedback.docxkhanpaulita
Enhancing Psychotherapy Process With Common Factors Feedback:
A Randomized, Clinical Trial
Andrew S. McClintock, Matthew R. Perlman, Shannon M. McCarrick,
Timothy Anderson, and Lina Himawan
Ohio University
In this study, we developed and tested a common factors feedback (CFF) system. The CFF system was
designed to provide ongoing feedback to clients and therapists about client ratings of three common
factors: (a) outcome expectations, (b) empathy, and (c) the therapeutic alliance. We evaluated the CFF
system using randomized, clinical trial (RCT) methodology. Participants: Clients were 79 undergradu-
ates who reported mild, moderate, or severe depressive symptoms at screening and pretreatment
assessments. These clients were randomized to either: (a) treatment as usual (TAU) or (b) treatment as
usual plus the CFF system (TAU � CFF). Both conditions entailed 5 weekly sessions of evidence-based
therapy delivered by doctoral students in clinical psychology. Clients completed measures of common
factors (i.e., outcome expectations, empathy, therapeutic alliance) and outcome at each session. Clients
and therapists in TAU � CFF received feedback on client ratings of common factors at the beginning of
Sessions 2 through 5. When surveyed, clients and therapists indicated that that they were satisfied with
the CFF system and found it useful. Multilevel modeling revealed that TAU � CFF clients reported
larger gains in perceived empathy and alliance over the course of treatment compared with TAU clients.
No between-groups effects were found for outcome expectations or treatment outcome. These results
imply that our CFF system was well received and has the potential to improve therapy process for clients
with depressive symptoms.
Public Significance Statement
In this study, we developed a system that provides ongoing feedback to clients and therapists about
what is transpiring in therapy. Results suggest that the feedback system may help to improve the
process of treatment for clients with depressive symptoms.
Keywords: common factors, feedback, empathy, alliance, randomized clinical trial
A growing body of research attests to the utility and effectiveness
of outcome feedback (Connolly Gibbons et al., 2015; De Jong et al.,
2014; Shimokawa, Lambert, & Smart, 2010). In outcome feedback
systems, client progress is monitored and reviewed by therapists (and,
in some cases, by clients as well) to guide ongoing treatment (Lam-
bert, 2007). Specifically, these systems collect distress/symptomatol-
ogy data from clients on a routine basis, and then compare these data
with norms or expected treatment responses (see Lambert, 2007; Lutz
et al., 2006). When a client is off-track (i.e., is projected to have a
relatively poor treatment response), the therapist is alerted and is
then typically provided with strategies for improving quality of
care (Lambert et al., 2004; Miller, Duncan, Sorrell, & Brown,
2005).
Although outcome feedback has demonstrated efficacy (e..
The Meaningful Assessment of Therapy OutcomesIncorporating .docxcherry686017
The Meaningful Assessment of Therapy Outcomes:
Incorporating a Qualitative Study Into a Randomized Controlled Trial
Evaluating the Treatment of Adolescent Depression
Nick Midgley
University College London and Anna Freud Centre, London,
United Kingdom
Flavia Ansaldo
Southwark Targeted Services—CAMHS, London,
United Kingdom
Mary Target
University College London
For many years, there have been heated debates about the best way to evaluate the efficacy and
effectiveness of psychological therapies. On the one hand, there are those who argue that the randomized
controlled trial (RCT) is the only reliable and scientifically credible way to assess psychological
interventions. On the other hand, there are those who have argued that psychological therapies cannot be
meaningfully assessed using a methodology developed to evaluate the impact of drug treatments, and that
the findings of RCTs lack “external validity” and are difficult to translate into routine clinical practice.
In this article, we advocate the use of mixed-method research designs for RCTs, combining the rigor of
quantitative data about patterns of change with the phenomenological contextualized insights that can be
derived from qualitative data. We argue that such an approach is especially important if we wish to
understand more fully the impact of therapeutic interventions within complex clinical settings. To
illustrate the value of a mixed-method approach, we describe a study currently underway in the United
Kingdom, in which a qualitative study (IMPACT-My Experience [IMPACT-ME]) has been “nested”
within an RCT (the Improving Mood With Psychoanalytic and Cognitive Behavioral Therapy [IMPACT]
study) designed to evaluate the effectiveness of psychological therapies in the treatment of adolescent
depression. We argue that such a mixed-methods approach can help us to evaluate the effectiveness of
psychological therapies and support the real-world implementation of our findings within increasingly
complex and multidisciplinary clinical contexts.
Keywords: adolescent depression, randomized controlled trials (RCTs), qualitative research, mixed-
methods design, outcome research
For many years, there have been heated debates about the best
way to evaluate the efficacy and effectiveness of psychological
therapies. On the one hand, there are those who argue that the
randomized controlled trial (RCT) (and meta-analyses of such
trials) is the only reliable and scientifically credible way to assess
psychological interventions. The RCT has long been considered
the “gold standard” approach, placed at the top of the “hierarchy of
evidence” and given almost exclusive credence by bodies such as
the Cochrane Collaboration and guideline developers such as the
National Institute for Health and Clinical Excellence (NICE). On
the other hand, there are those who have argued that psychological
therapies cannot be meaningfully assessed using a methodology
developed to evaluate the impact of drug treatme ...
This slideshare describes the Theory of Change approach to program planning and design. The Theory of Change approach focuses on the assumptions that underlie social innovations and compels the kind of focus on evaluation that can help social programs improve. Unlike logic models, which are often nothing more than lists of a activities and outcomes, Theories of Change allow for a focus on the links between activities and outcomes. In our view this makes the Theory of Change approach superior.
Join us as HBO hosts the IA/UX Meetup with Brian Cugelman, PhD. He will discuss how to design technologies that are more satisfying and persuasive, through applying simple strategies based on psychology and neuroscience.
You’ll enjoy a quick overview of Brian’s latest research on the neurochemistry of user cognition, emotion and behavior, with a focus on practical applications for websites, apps and digital campaigns.
Brian will discuss the intersection between emotion and technology, and show you how to translate a few simple concepts from psychology and neuroscience into interactive design strategies and practices.
Seattle Information Architecture & User Experience Meetup:
https://www.meetup.com/SeattleUX/events/235001579/
Many of the most effective behavior change principles can only be implemented in technologies that adapt to users based on their feedback, such as coaching websites, wearable technologies, and apps that help us make lifestyle changes.
In this session, Brian Cugelman, PhD will discuss his communication-based approach to persuasive design, and discuss the interactive parts of his behavior change taxonomy. You’ll learn which psychological principles can only be used when you design two-way interactive technologies, and which options are totally “off the table” when you opt to design one-way technologies.
You’ll enjoy an interactive presentation followed by an open Q&A session.
Brian Cugelman, PhD obtained his Doctorate with the Statistical Cybermetrics Research Group, a world-leading team of Internet researchers, where he focused on the science of digital behavior change. As a scientist, his research has been published in JMIR, the world’s top e-health journal. Brian has advised numerous organizations on using technology for individual and social-level change, with the Pentagon inviting Brian to present his research to their Cyber Influence Project. Brian ran his first online behavior change campaign in 1998, with his early work in online social change recognized by the United Nations General Assembly. Dr. Cugelman teaches the science of digital behavior change through his firm AlterSpark, and provides consulting services on behavior change technology and data science.
In this SXSW workshop, participants will learn to understand the psychology that drives some of the world’s most successful websites, social media, and mobile apps. They will also see through ridiculous claims about gamification, and other design patterns, as magic solutions for all problems. They will start to see these “solutions” as simply psychological patterns that work in some contexts, and totally fail in others. It’s also important to know that attendees will walk away with an understanding that “evidence-based design,” or “theory-based design,” is a simple concept, and that it is the perfect intersection of where science and creative thinking fit well together.
In this NXNE session, Dr. Brian Cugelman, a researcher and consultant with AlterSpark, will show you how to leverage persuasive psychology to design websites that are more engaging, higher converting, and better able to retain users. This workshop includes a blend of theory on the science of persuasive technology, visual examples, and an overview of tools commonly used to design higher converting websites.
The Persuasive Communication Model offers a convenient system that you can use to design mobile applications, websites, or social media campaigns. You can use the model when you are developing new products, trying to improve old ones, or seeking to identify the success principles that lay behind your competitors’ products.
When designing new technologies or fixing old ones, the model provides a checklist of persuasion principles that you can use to compare your design with scientifically validate influence principles. If you wish to understand what makes your competitors’ technology work, you cannot just copy their product. Rather, you can use the model to reverse engineer their persuasive architecture, and then adapt their persuasive architecture to your unique product and market.
This presentation does not include the Persuasive Design Cheat Sheet. Sign-up for my newsletter to be notified of the next public release: http://www.cugelman.com
Some of the science behind this presentation:
http://www.jmir.org/2011/1/e17/
This interactive workshop introduces participants to several key theories from social psychology and sociology in order to demonstrate how science can be used to design engaging social media applications and campaigns.
The content is presented in a simple format that makes key linkages between our daily social lives and the social world in social media. During the workshop, participants have a chance to learn a number of theories, see examples of how they play out online, and then join a group analysis on the social psychology employed by a number of social media sites and mobile apps.
Questions Answered:
1. What are some of the most popular theories from social psychology that I can leverage to build more persuasive social applications or run more engaging social media campaigns?
2. What’s social influence and how can it help me? How about six-degrees of separation? And what about the strengths of weak ties?
3. Where did all this hype about “influencers” come from and what’s up with the obsession over social metrics? Are they real or just marketing hype?
4. Is it true that all the top websites in the world are driven by social algorithms?
5. What’s the difference between interpersonal persuasion and social influence?
Based on this top paper from a world leading scientific journal: http://www.jmir.org/2011/1/e17/
This presentation provides a simple recipe for designing more engaging websites, social media profiles, or technologies by leveraging the principles of cyber persuasion, through the digital persuasion equation and the eight spheres of digital influence.
There are many applications of social media outreach, and this session will look at its application to non-profit objectives such as public relations, constituency building, citizen engagement, health behavioral change campaign, or fundraising.
The workshop will comprise presentations with case studies, one paper-based exercise, and open question time. We wish to run a needs assessment before the workshop to ensure the workshop meets participants' expectations.
The workshop will provide participants with a brief overview of communication models, social media trends, and a bigger picture view on how social media has changed the rules of online engagement. It will help participants better appreciate social media, assess its pros and cons, and evaluate if their organization should use or expand the scope of their social media activities.
Topics will include background information on social media; how traditional (one-way) communication paradigms no longer work in interactive media; and how two-way communication models operate online.
A key focus will be to help organization evaluate the pros and cons of social media, and then assess if social media offers any benefits to their organization. Participants will be asked to assess how social media can advance their organization's mandate, whether it is a viable channel for their constituents, its pros and cons for their situation, and then to review other relevant assessment criteria. Midway through the workshop, participants will be invited to complete a paper-based form to help them assess if social media offers enough benefits for their organization to adopt or expand the scope of their social media outreach.
The remainder of the presentation will focus on practical guidance for organizations that wish to implement or expand the scope of their social media outreach. Topics covered will include reassessing organizational goals; researching constituents; starting an incremental approach to social media outreach; defining the scope of your social media activities; mainstreaming into institutions; daily operations; responding protocols; institutional policies; tools of the trade; and methods for prioritizing resource allocations.
As a solution, the BER model uses a two-dimensional matrix to aid the evaluation of complex multi-unit programs, with quadrants to identify over and underperforming units. The BER model was inspired by portfolio management approaches from the Boston Consulting Group and the General Electric Grid, as well as quadrant analysis by Andreasen (1995). However, its core principles are based on the concept of social return on investment, where output is always compared to input. It provides a relative perspective on performance that allows evaluators to account for impact based on the resources invested in an initiative.
At the measurement matters (#TTMM) social media conference, AlterSpark discussed the three metrics for social media engagement: people, position, and power. People are the actors who are party to a campaign or issue. Power is defined as a measure of online influence, persuasiveness, or ability to change outcomes in a debate or campaign. Position is a measure of opinions or sentiment. Numerous social media measurement services seek to measure these two metrics in one way or another. This presentation describes what these metrics are, how they can be measured, why they're important, and how e-campaigners use them to aid strategic decision making and daily operations.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
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The Psychology of Mass-Interpersonal Behavioural Change Websites: a meta-analysis
1. The Psychology of Mass-Interpersonal Behavioural Change Websites : a meta-analysis Brian Cugelman, Prof. Mike Thelwall, Prof. Phil Dawes University of Wolverhampton Statistical Cybermetrics Research Group and the Wolverhampton Business School http://cybermetrics.wlv.ac.uk Medicine 2.0 Conference 17-18 September 2009 Toronto, Canada
19. Media Channel k % Across 30 Interventions Website & Email 20 66.7% Website 10 33.3%
20. Feedback Message k % Across 30 Interventions Tailoring 25 83.3% Personalization 12 40.0% Adaptation / Content matching 2 6.7%
21. Source Modifier k % Across 30 Interventions Attractiveness 5 16.7% Similarity 3 10.0% Credibility 1 3.3%
22. Source Encoding k % Across 30 Interventions Multiple Interactions 23 77% Single Interaction 3 10% Sequential Requests (Foot-in-the-door) 1 3%
23. Intervention Message Top 5 of 40 Behavioural Change Techniques k % Across 30 Interventions Provide information on consequences of behaviour in general 23 77% Goal setting (behaviour) 21 70% Provide feedback on performance 20 67% Prompt self-monitoring of behaviour 19 63% Provide instruction on how to perform the behaviour 18 60%
24. Audience Interpreter Top 5 of 12 Behavioural Determinants k % Across 30 Interventions Knowledge 30 100% Motivation and goals (Intention) 26 87% Social influences (Norms) 22 73% Beliefs about consequences 21 70% Skills 19 63%
27. Thank you University of Wolverhampton Statistical Cybermetrics Research Group and the Wolverhampton Business School http://cybermetrics.wlv.ac.uk [email_address]