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Walden University Respond to Class Mate Effective Communication Exercise

Question Description

2 days ago

Imani Barnes

RE: Discussion – Week 10

COLLAPSE

The diffusion of innovation model as described by Chun et al. (2016) is a framework for demonstrating how an innovative service spreads over time suggesting people who adopt your campaign in the early stages are different from those that adopt it later. The diffusion of innovation theory gives steps needed to promote the adoption of a new idea with the thought that a person’s perception can prophesy adoption. My campaign to mitigate educational disparities in underprivileged rated schools could use this model to get children and parents to adopt the evidence-based practices (EBP) researched to change and improve home schooling behavior.

I found a study by Mohammadi et al. (2018) that used the diffusion of innovation theory to identify the factors that promote EBP adoption. This study uses diffusion of innovation theory to examine how certain clinical behaviors are adopted and focuses on innovation elements that drive adoption. Mohammadi et al. (2018) describes relative advantage, compatibility, simplicity, observability, and trialability as the five determinants of the diffusion of innovation. Consequently, this model was best for this study because Mohammadi et al. (2018) needed a strategy for health care providers to adopt the use of EBP starting at the first stage of transition since the spread of EBP depends on early implementation. They concluded that EBP adoption was influenced by individual innovation, attitude, knowledge, and the opinion of EBP attributes. Mohammadi et al. (2018) found attitude to be the greatest factor on their EBP adoption.

In the development of my campaign, other than compatibility, I feel the simplicity factor in the diffusion of innovation model is the most important determinate in having a successful campaign. The compatibility aspect refers to the match, consistency, and suitability of my intervention methods to mitigate educational disparities in the homeschool setting. However, in the selected demographic group, the simplicity of the application of my intervention methods will be most influential on whether or not they chose to adopt my campaign. If the needs of the individuals are too great, I feel it will discourage the study subjects and deter them from participating in the study. If a student feels the directions given are too complicated, it will discourage their effort and esteem, in turn, the student will less likely participate. If the directions given to a parent that is already overwhelmed are too complex, the parent may avoid adoption of the campaign as to less muddle a world that is already complicated. The study by Mohammadi et al. (2018) found simplicity was linked with EBP adoption, signifying the target community perceived that the ease of use and simplicity to adopt EBP hastens adoption. They concluded the need to simplify training interventions will enhance EBP adoption. Explaining EBP in layman’s terms in their training programs and not be portraying it as a complex process, produced more people that trusted and adopted the intervention. Simple methods and simple interventions that still have a maximum affect and still lead to answering the research question is the best strategy when targeting elementary school children and their parents to adopt behavior change.

References

Chun, G. J., Sautter, J. M., Patterson, B. J., & McGhan, W. F. (2016). Diffusion of Pharmacy-Based Influenza Vaccination Over Time in the United States. American Journal of Public Health, 106(6), 1099–1100. https://doi-org.ezp.waldenulibrary.org/10.2105/AJPH.2016.303142

Mohammadi, M. M., Poursaberi, R., & Salahshoor, M. R. (2018). Evaluating the adoption of evidence-based practice using Rogers’s diffusion of innovation theory: a model testing study. Health Promotion Perspectives, 8(1), 25–32. https://doi-org.ezp.waldenulibrary.org/10.15171/hpp.2018.03

2 days ago

Dominique Morgan

RE: Dominique Morgan’s reply to Discussion – Week 10

COLLAPSE

Brief summary of the article you selected

The article I selected is titled A Practical Guide for Implementing and Maintaining Value?Added Clinical Systems Learning Roles for Medical Students Using a Diffusion of Innovations Framework. This article details U.S. medical schools’ decision to expand students’ ability to learn about health care delivery and add value to patient care through more experiential roles (Gonzalo et al., 2017). A program was developed for first-year medical students to participate in interdisciplinary care teams. They used the diffusion of innovations model to identify barriers, facilitators, and best practices for implementing value-added learning roles (Gonzalo et al., 2017). The authors conducted 32 site observations, 29 one-on-one mentor interviews, and four student focus-group interviews (Gonzalo et al., 2017). After implementation, 17 of the 36 sites continued with the value-added patient care, eight sites modified their practices, and 11 withdrew from the program (Gonzalo et al., 2017).

Explain how the diffusion of innovation was used

The diffusion of innovations theory attempts to explain how innovations can be adopted and then diffused or spread quickly (Glanz et al., 2015). The diffusion of innovation’s systematic adoption process includes awareness, persuasion, decision, implementation, and confirmation (Glanz et al., 2015). This article used the diffusion of innovations theory to help identify the facilitators and barriers of the program implementation. Some of the barriers they identified were limits in student engagement, students placing a low value on value-added care, the time and ability of mentors to participate, underdeveloped resources of the schools or sites, and a varying experience of students (Gonzalo et al., 2017). Using this theory, they discovered five strategies that other health professional schools should consider when implanting programs like this one (Gonzalo et al., 2017).

Then explain one of the principles of the diffusion of innovation model that is most important for you to consider in the development of your public health campaign and explain why

One principle of the diffusion of innovation model that is most important to consider is the simplicity or complexity factor for developing the food insecurity campaign. The simplicity or complexity factor describes how easy or hard it is for the adopters of the innovation to understand the campaign’s message and intended outcomes (LaMorte, 2019). Using this key concept will help guide the campaign when considering the target audience’s literacy and health literacy levels. As we know, health literacy is the extent to which someone can understand, process, and use health information to make informed decisions about their health (Office of Disease Prevention and Health Promotion, 2020). Using this principle will be necessary for the success of the campaign as it helps to identify if it is easy for the target audience to understand the campaign information and resources or to determine if it requires a learning curve before they can implement the changes in their lives (Glanz et al., 2015). This principle will prompt the campaign to consistently evaluate the information and resources provided to ensure it is simple and easy to read to lead to better comprehension in the target audience. Better comprehension of the information and the benefits then leads to increased adoption of the information to their daily lives.

References

Glanz, K., Rimer, B.K., Viswanath, K. (2015). Health behavior theory, research, and practice. Jossey-Bass.

Gonzalo, J. D., Graaf, D., Ahluwalia, A., Wolpaw, D. R., & Thompson, B. M. (2018). A practical guide for implementing and maintaining value-added clinical systems learning roles for medical students using a diffusion of innovations framework. Advances in Health Sciences Education: Theory and Practice, 23(4), 699–720. https://doi-org.ezp.waldenulibrary.org/10.1007/s10459-018-9822-5

LaMorte, W.W. (2019). Diffusion of innovation theory. Boston University School of Public Health. https://sphweb.bumc.bu.edu/otlt/mph-modules/sb/behavioralchangetheories/behavioralchangetheories4.html

Office of Disease Prevention and Health Promotion. (2020). Health literacy. https://www.healthypeople.gov/2020/topics-objectives/topic/social-determinants-health/interventions-resources/health-literacy


Grace Anderson

Grace Anderson RE: Discussion – Week 10

COLLAPSE

Summary

“Diffusion of inno- vation is the process by which an innovation; is communicated through certain channels; over a period; among the members of a social system”’ (Gouws & Rheede, 2011) Innovation can be viewed as something that is new to the community it is presented to. Diffusion is the exchange of information and the communication of the idea, whether it is within personal networks and one on one, or through mass communication channels and reaching multiple people at once. The period of time for an idea to spread using the Diffusion of innovation theory can take years. Furthermore, the social system is the population of people in which the innovation happens. This is pertinent due to the fact that the interaction within this group is crucial to the spread of the innovation. With the diffusion of innovation model there are adopter categories, these categories consist of innovators, early adopters, early majority, and late majority. The innovator category is a group of individuals who are willing to take risks and try new things. The early adopters category is a group of individuals that are most likely to be approached by potential adopters. The early majority is a group of individuals that may receive information from more informal sources, which will then create a longer time frame of deciding to adopt the idea. And lastly, there is the late majority group; this is a group of individuals that adopt the innovation last, due to being reserved and possibly skeptical. Stages in the innovation decision process of adoption include knowledge, persuasion, and decision. Knowledge is essentially awareness in general, persuasion is when the consumer becomes aware, and decision is when the idea is either accepted or rejected.

How Diffusion of Innovation Was Used

In the article selected, diffusion of innovation was used to look at the branding of products. This was completed by separating products into two categories; fast moving consumer goods (washing powder, milk, etc) and high-involvement products (high end clothing, luxury cars, etc). Due to the ever evolving industry, a communication manager can be proactive in trying to address gaps in the adopters groups. “Consumers expect brands to be innovative in designing products and creating trends” (Gouws & Rheede, 2011). Furthermore, consumers expect brands to be ahead of the game and know what the consumer wants before the consumer does.

One Principle of Diffusion of Innovation Model Important in Public Health Campaign and Why

One principle of the diffusion of innovation model that would be important in my public health campaign is that “Diffusion is essentially concerned with the non- economic factors that influence an individual to make a decision” (Gouws & Rheede, 2011) This is important to my public health campaign because there aren’t many economic factors involved and the campaign is more geared towards behavioral changes.

References

Gouws, T., & Rheede van Oudtshoorn, G. P. (2011). Correlation between brand longevity and the diffusion of innovations theory. Journal of Public Affairs, 11(4), 236–242. https://doi.org/10.1002/pa.416

2 days ago

Jacqueline Rojas

RE: Discussion – Week 10

COLLAPSE

Summary of the article “Sensory Environments for Behavioral Health in Dementia: Diffusion of an Environmental Innovation at the Veterans Health Administration”

  • This article evaluated the diffusion of multisensory environments (MSEs) as an innovation at the Veterans Health Administration (VHA) and gathered feedback regarding staff perceptions of barriers to uptake and effectiveness of MSEs for veterans with dementia (Lorusso et al., 2020). They used a qualitative approach and interviewed a total of 21 individuals. Lorusso et al. (2020) found that MSEs are perceived as effective in improving behavior for Veterans with dementia and represented as innovation that has been well-diffused.

Explain how the diffusion of innovation was used.

  • Lorusso et al. (2020) examined the rollout of MSE equipment in the VHA through the Diffusion of Innovation (DOI) theory. The researchers wanted to see how the VHA’s adoption of MSE for dementia care has progressed through the DOI phases of knowledge (innovators), persuasion (early adopters), decision (early majority), implementation (late majority), and confirmation (laggards) (Lorusso et al., 2020). For knowledge, the VHA mentioned MSE within their handbook for alternative behavior management strategies of consideration for care. In the persuasion phase, a therapist won a VHA grant to implement MSE therapy and trainings for Veterans with dementia (Lorusso et al., 2020). In decision, this phase engaged activities for their members toward adopting or rejecting the innovation. For implementation, the VHA sent out a second call for interest called “National VHA MSE Rollout Phase 2” (Lorusso et al., 2020). The implementation for this second call was to seek additional community living centers facilities interest in MSE program. Last, confirmation was used to investigate a component of the confirmation phase for the MSE innovation.

Explain one of the principles of the diffusion of innovation model that is most important for you to consider in the development of your public health campaign and explain why.

  • One of the principles of the diffusion of innovation model that is most important for me to consider in my public health campaign is early adopters. These are people who represent opinion leaders and embrace change opportunities (Boston University School of Public Health, 2019). This principle of the diffusion model is important because I will need to persuade my target audience the benefits of trying my depression intervention campaign. People might have their own positive or negative opinion regarding the innovation, but I will need to persuade them to try the program. For instance, one might not want to try my campaign because they heard mix comments about the campaign. I will want to persuade them by reassuring them and educating them about the outcomes of the campaign.

References

Boston University School of Public Health. (2019). Behavioral Change Models. Retrieved from https://sphweb.bumc.bu.edu/otlt/mph-modules/sb/behavioralchangetheories/behavioralchangetheories4.html#:~:text=Early%20Adopters%20%2D%20These%20are%20people%20who%20represent%20opinion%20leaders.&text=Early%20Majority%20%2D%20These%20people%20are,are%20willing%20to%20adopt%20it.

Lorusso, L. et al. (2020). Sensory Environments for Behavioral Health in Dementia: Diffusion of an environmental innovation at the veterans health administration. Retrieved from https://journals-sagepub-com.ezp.waldenulibrary.or…



Oralus Paul

Week 10 Non Probability Sampling
COLLAPSE
Post a restatement of your assigned position on sampling strategies. Explain why this position is the best strategy for selecting research participants. Support your explanation with an example and support from the scholarly literature.
Unlike probability sampling, non-probability sampling is a sampling technique that does not involve random selection. In other terms, it involves some form of arbitrary selection of elements into the sample for which inclusion probabilities are unknowable (and possibly zero for some population elements) (Wi?niowski et al., 2020). Nonprobability sampling methods can be divided into two broad types: accidental or purposive. Additionally, most sampling methods are purposive in nature because researchers, at this point, have typically already defined their research questions, which is used to guide the study design.
Accidental sampling, also known as convenience sampling does not involve any planning. the researcher simply reaches out and picks up the cases that fall to hand, continuing the process till such time as the sample acquires a desired size. The researcher, for example, may take the first 150 persons, he meets on any one of the pedestrian paths of a street, who are willing to be interviewed or to provide the kind of information he is seeking (Sushani, 2017).
Evidently, with purposive sampling, researcher already a plan or purpose in mind such as one or more specific predefined groups. This method is often used in market research can be very useful for situations where you need to reach a targeted sample quickly and where sampling for proportionality is not the primary concern. For instance, if a computer software firm wants to test a new software, they may set up a computer at a kiosk at the mall and watch people use it. Then can then interview the user and ask them questions, including how they like the software, or how easy it is to use. Companies then determine whether they need to make changes to the software, based on actual consumer usage (Sushani, 2017).
A key advantage of nonprobability sampling, relative to probability sampling, is cost. Nonprobability samples can be drawn and fielded in a number of relatively inexpensive ways. The most common way is through volunteer web panels where survey firms entice large numbers of volunteers to take part in periodic surveys in exchange for money or gifts (Callegaro et al., 2014).
Next, select a data collection method (e.g., surveys, interviews, observations) and briefly explain at least one strength and at least one limitation. Then, identify a potential ethical issue with this method and describe a strategy to address it.
Questionnaires are a very useful survey tool that allows large populations to be assessed with relative ease. Despite a widespread perception that surveys are easy to conduct, in order to yield meaningful results, a survey needs extensive planning, time, and effort. Advantages of surveys include having a large population and therefore a greater statistical power, the ability to gather large amounts of information, and having the availability of validated models. However, surveys are costly, there is sometimes discrepancy in recall accuracy and the validity of a survey depends on the response rate (Jones et al., 2013).
Online research surveys are a new innovative methodology that increases opportunities for population-focused data collection. They generally permit convenient, timely, and cost-effective research. This is particularly relevant for marginalized, geographically dispersed, hard-to-access, or “socially distant groups” that may otherwise be difficult or costly to access (McInroy, 2016). Online research allows participants to feel increased comfort and autonomy and decreased inhibitions to participation as a result of knowing that their contributions will remain confidential and that they have the ability to complete the survey privately (McDermott & Roen, 2011). Online research raises new questions regarding what constitutes identifiable information; e-mail addresses or Internet Protocol addresses may be considered recognizable. Furthermore, perceptions of privacy and anonymity by participants are also complicated by online approaches (McInroy, 2016). Hence, for online surveys, special attention must be paid to how participants data will be secured. This entails having a familiarity with: the survey software being used, the types of information being collected (IP address, email address), the options the survey software provides regarding what information to collect, the ways in which information will be stored, and how any identifying information will be de-linked from survey data, etc. It is important to note that third-party survey software companies (i.e. Survey Monkey, Zoomerang, etc.) differ from software licenses made available through UMass (i.e. – Qualtrics, etc) so the researcher will need to be aware of these differences and the effect this will have on how and where survey data is stored and maintained. Aside from the ways in which any survey software will collect and maintain survey data, the researcher will also need to provide information about how the data, once retrieved from the survey software provider, will be maintained (i.e. – on password-protected computers, on password-protected cloud storage. This information is necessary for the IRB to assess the level of security and subsequent risk to participants data being divulged. Information regarding data security would need to be included in the protocol submission and in the consent form (Umass Amherst, 2019).
Last, explain the relationship between measurement reliability and measurement validity using an example from your discipline.
According to Tyrer & Heyman (2016), non-probability samples have merit in many situations, but an epidemiological inquiry is of little value unless a random sample is obtained. Sampling for health-related research does not usually need to be as precise as sampling for political surveys but in epidemiological investigations, every effort should be made to select a representative sample (Tyrer & Heyman, 2016). Although epidemiological research requires a representative sample, there is a great deal of health research that does not need one. For example, Service evaluations and randomized controlled trials (RCTs) do not require a survey design. In an RCT the main purpose is to compare groups within the sample, members of which are placed into them randomly, such as treatment v. placebo. In those cases, precisely accurate statistics may not be required sample (Tyrer & Heyman, 2016).
References
Callegaro, M., Baker, R. P., Bethlehem, J., Göritz, A. S., Krosnick, J. A., & Lavrakas, P. J. (2014). Online panel research: A data quality perspective. John Wiley & Sons.
Jones, T. L., Baxter, M. A., & Khanduja, V. (2013). A quick guide to survey research. Ann R Coll Surg Engl, 95(1), 5-7. https://doi.org/10.1308/003588413X13511609956372
McDermott, E., & Roen, K. (2011). Youth on the Virtual Edge: Researching Marginalized Sexualities and Genders Online. Sage. https://doi.org/10.1177/1049732311425052
McInroy, L. B. (2016). Pitfalls, potentials, and ethics of online survey research: LGBTQ and other marginalized and hard-to-Access youths. Social Work Research, 40(2), 83-94. https://doi.org/10.1093/swr/svw005
Sushani, G. (2017). 3 Main Types of Non-Probability Sampling | Techniques | Social Research. Sociology Discussion. https://www.sociologydiscussion.com/social-research-2/techniques/3-main-types-of-non-probability-sampling-techniques-social-research/13459
Tyrer, S., & Heyman, B. (2016). Sampling in epidemiological research: Issues, hazards and pitfalls. BJPsych Bulletin, 40(2), 57-60. https://doi.org/10.1192/pb.bp.114.050203
Umass Amherst. (2019, 7). Online survey/Survey research guidance | Research administration. UMass Amherst. https://www.umass.edu/research/guidance/survey-guidelines
Wi?niowski, A., Sakshaug, J. W., Perez Ruiz, D. A., & Blom, A. G. (2020). Integrating probability and Nonprobability samples for survey inference. Journal of Survey Statistics and Methodology, 8(1), 120-147. https://doi.org/10.1093/jssam/smz051



Athena Coleman
Wk 10
COLLAPSE
PUBH 8110H: Research Theory, Design, and Methods
Week 10 Discussion 1
Walden University
By: Athena Coleman
Instructor: Dr. Skiranta Banerjee
For this Discussion, you will first consider sampling strategies. Then, you will turn your attention to data collection methods, including their strengths, limitations, and ethical implications. Last, you will consider measurement reliability and validity in the context of your discipline.Position A: Probability sampling represents the best strategy for selecting research participants.
Research is conducted to structure theories to address research problems while maintaining topic integrity, eliminating bias, and ensuring that the population is equal represented in the sampling for the study. “Sampling is simply stated as selecting a portion of the population in your research area, which will be a representation of the whole population ( Landreneau).” Therefore, to finalize a study, you have to minimum sampling to a sample size that can be generalized to the whole population. Size sampling is an adequate representation of the population which “ it is drawn so that true inferences about the population can be made from the results obtained. ( Kadam & Bhalerao, 2010).
The sampling takes data collection and evaluation to select the best sample for the study. The sample strategies for probability sampling are simple random, systemic, stratified random, and cluster sampling. The most appropriate sampling strategy for my campaign is simple random sampling. Because maternal mortality affected fifty percent of the population, simple random sampling can compose a proportional sample for the study. By utilizing simple random sampling, the researchers would structure interval times to interview individuals with a high prevalence of maternal mortality to composed the sample size for the study. After summarizing the participate’ contribute concerning the general population, participates are chosen to represent the community. Simple random sampling ensures that the study will have participates from the community that has similar influences, traditions, beliefs, and access to care concerning Maternal mortality.
Maternal mortality is a crisis that’s most time are preventable. Therefore data collection is structured to Attract premenopausal women with a high Propensity to experience maternal morality (Setia, 2016). Data collection for social science measures like maternal mortality would use interviewing sessions, documentation, and record review to compose the sample for the study. “Data collection is a systematic process of gathering observations or measurements. Whether you are performing research for business, governmental or academic purposes, data collection allows you to gain first-hand knowledge and

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