In this assignment, you are to clarify your understanding of the nature of evidence-based practice and analyze the challenges and opportunities for implementing evidence-based practice in your current social work practice.

To prepare for this Assignment, read the  Resources (ATTACHED) that provide information about different aspects of the evidence-based practice concept. As you read, consider how evidence-based practice or evidence- based programs might be used in a social work agency where you work or where you had a practicum experience.

Post a description of the distinguishing characteristics of evidenced-based practice. Then provide an evaluation of factors that might support or impede your efforts in adopting evidence-based practice or evidence-based programs.

You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.

Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.

Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.

The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.

ADDITIONAL INFORMATION;

Characteristics, Challenges, and Opportunities of Evidence-Based Design

Introduction

Evidence-based design is a process for designing projects, products, and services based on the best available research. It helps designers and other professionals make better decisions by providing them with information about the effects of their actions. In this way, EBD improves quality outcomes for organizations as well as clients and stakeholders.

Definition(s)

EBD is a design process where the designer uses data to inform their decisions. It’s a process that uses research to inform design, and it can help you make better decisions about your products.

EBD has been around for decades, but only recently has it become more widely used in product development because of its ability to improve quality and reduce cost at the same time.

There are several perspectives on data collection and evidence based design (EBD)

EBD is a design approach that uses a scientific approach to solve problems. It has been around for quite a while, but it’s only recently that we’ve begun to understand the power of data and evidence-based decision making. In fact, there are several perspectives on data collection and evidence based design (EBD). Here’s how they differ from each other:

• For example, EBD isn’t necessarily the same as evidence-based medicine (EBMe), which refers to clinical practice based on rigorous scientific research involving large populations of patients with similar conditions or symptoms. However, both approaches can be used together in some cases—for example when an organization wants to improve outcomes for a particular population group who may not fit into traditional healthcare systems’ categories like low income or underserved neighborhoods; this would require using EBMe methods alongside traditional medical practices such as primary care providers delivering preventive services at affordable cost points within their communities rather than removing them completely from existence.*

Why is research important?

The first reason why research is important is because it helps us to make better decisions.

Research allows us to understand what works and what doesn’t work, and how people use technology.

And second, research enables the development of evidence-based design principles that can be used by designers in their design practice.

Why is Research Important?

Advantages of Researching the Evidence

Researching the evidence is important because it helps designers make informed decisions. This can help avoid mistakes and make better decisions, especially when you have limited time or resources. For example, if you’re designing a building in a city that has many buildings that are similar to yours, researching the evidence will help you find out which features are most effective at influencing people’s behavior (e.g., how do different design elements affect people’s willingness or ability to walk across busy streets?).

Another advantage of researching the evidence is that it can lead to new solutions for existing problems or even completely new products altogether! For example: imagine an architect has built a building with no windows facing northward because she believes this direction will keep warmth inside during cold winter months; however after looking into other studies about thermal conditions outside versus indoor temperatures she realizes there isn’t much difference between these two scenarios; therefore she decides not only should windows face northward but also should actually be located on both sides instead of just one side like before because they’d help heat up quicker than just sitting alone without anyone else around them.”

Challenges of Researching the Evidence

• Research is expensive.

• Research is time consuming.

• Research requires a lot of collaboration and trust between researchers and participants, which can be difficult when you’re working on different topics or trying to collect data from people who may not be able to give you the information you need.

• It takes patience and sometimes even longer than that to see results in your research!

The EBD Process Step-by-Step

The EBD process is iterative and cyclical. It’s not a linear process, but rather one that involves repeating steps over time in order to get better at what you do.

As mentioned previously, the first step in this process is collecting research evidence on your topic or problem area. This can be done through surveys or interviews with experts in your field (or even just asking people who might have experienced similar problems), as well as through observation and analysis of existing data sets. Once you’ve collected enough information from these methods, it’s time for some creative thinking!

Designing the Study or Project

The first step to designing an evidence-based project or study is defining the problem. This can be done by brainstorming with your team and examining existing research on the topic, as well as reviewing relevant literature from other sources. Once you have defined the problem, make sure that it’s clear what outcome(s) are expected from your research efforts.

Once you’ve determined what outcome(s) are most important for this project or study, set goals for how much progress will be made each week:

• Make sure that these attainable goals aren’t too ambitious; if they seem too far off in time or seem impossible at first glance, then reconsider them before moving forward with further planning (or else risk not achieving anything at all). For example, if one of your fitness goals is losing 10 pounds in six months’ time—but another goal was going from being able to run 2 miles without stopping within 30 days—then maybe those two aren’t so far apart after all! In this case it might make sense instead just trying something smaller like losing 5 pounds over 6 weeks instead of 10 pounds over three months.”

Gathering the Data

Gathering the right data is critical for evidence-based design. The first step in gathering this information is to determine what you’re looking for, and how you will get it. For example, if you want to know how many people are using your website or app on an average day, then ask them—but be sure that they are giving accurate information. If they aren’t sure of their answer (or if they’re lying), then it’s possible that some of those numbers might not be valid.

Another way of gathering data is by conducting surveys with users of your product/service at points throughout its lifecycle: when they first start using it; when something goes wrong with the software; etcetera… This method isn’t as precise because there are more variables involved than just one question like “How often do people use our product?” but still offers valuable insight into user behavior over time which could help inform future decisions about improving functionality based upon user feedback from past experiences rather than assumptions made based solely on marketing campaigns alone.”

Analyzing the Data

Data analysis is the process of extracting information from raw data, which can then be used for decision-making. In order to analyze data, you need to understand what type of analysis will best serve your needs. There are many different types of analyses that can be conducted and each has its own benefits and drawbacks.

There are two general categories: descriptive and inferential (or statistical). Descriptive analyses look at patterns within your data set; inferential ones use these patterns to make predictions about future events or outcomes based on past experience. A few examples include regression models (which predict future values based on current ones), time series analysis (which traces changes over time), frequency counts (counting how many times something happens)

Reporting the Findings

The first step in conducting research is to determine what you want to find out. This can be as simple as “do students like my class?” or “how many people have used these products lately?” Once you have your question, you can begin searching for answers.

But how do we know if we’ve found them? There are two main types of research: qualitative and quantitative. Qualitative means that the data collection method involves asking people questions, rather than analyzing numbers or facts (like “does my classroom look clean enough?”). Quantitative means that there’s a measurement process involved—for example, counting how many times someone has been late for class in the past week compared with other students in his/her class; this would count as quantitative data collection since it involves measuring something numeric (the number of times someone was late) against another numeric value (the average time between tardies).

The most important thing to report when presenting findings from qualitative studies is their purpose: What were you trying to accomplish? For example: If I wanted information about student performance on tests given during the past month, I would write an objective statement such as “The mean score on all tests taken by first-year students during this period was lower than expected.” In addition, it’s important not only what type of study was done but also how one conducted it–this includes whether they conducted interviews instead asking people directly about their opinions/experiences etcetera.”

Evidence Based Design can be challenging, but it continues to develop and aid designers.

• EBD is a process that helps designers make better decisions.

• It has many challenges and opportunities, but it continues to develop and aid designers in their work.

• The knowledge gained from this process can be applied to other design methods, such as user experience design and psychological research.

Conclusion

The best way to keep up on the latest trends in EBD is to participate in conferences and seminars. You can also follow design journals on Twitter or Facebook so that you will receive updates and new articles regularly.