Do a survey and answer this questins


A1 Business and Technical College

Question Description

14.1 Description and Integration

Using the results of our survey, complete the following:

    1. Write a one-paragraph description of the results of your survey.
    2. Write one sentence summarizing any key finding(s).
    3. Write one sentence connecting the finding(s) to the other sources.

    Here are the sources I used:Faber, M. H., & Rackwitz, R. (2004). Sustainable decision making in civil engineering. Structural Engineering International, 14(3), 237-242.
    Zavadskas, E. K., Antucheviciene, J., Vilutiene, T., & Adeli, H. (2018). Sustainable decision-making in civil engineering, construction, and building technology. Sustainability, 10(1), 14.
    Abdel-Malak, F. F., Issa, U. H., Miky, Y. H. & Osman, E. A. (2017). Applying decision-making techniques to Civil Engineering Projects. Beni-Suef University journal of basic and applied sciences, 6(4), 326-331.

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14.1 Description and Integration By now, you should have responses to your survey and be ready to start reviewing the results. Survey results are often used by researchers as part of the data published in scholarly articles. Because they are often working with large, developed data sets often over long periods of time, they can interpret their findings in context and use them to make and support complex claims, none of which is our goal. Our goal is to practice describing the results and to integrate the findings into our Analytic Exploration. Data We discussed how to begin gathering data, and future courses or employers may build on this foundational skill with the exact specifications your field requires for data collection. The next step in the process is doing something with the data, or performing data analysis. Many professional and academic fields prefer workers to have a general knowledge of data analysis, and specific positions exist for experts in a dedicated type of data analysis. A basic understanding of data analysis is also valuable for readers and audiences of research and any source-informed content. Much of the content you encounter will include interpretations of analyzed data, so having a basic understanding of data analysis will prepare to read and write within and beyond USF. Data sets can be analyzed in many ways and with many tools. With small data sets, you might determine that your critical reading skills are all you need to locate patterns and connections within the data and describe them within context. Larger data sets, like the ones you may work with later in your career, often require analytic technologies to parse the data. These technologies include: AntConc, QDA Miner, Nvivo, R, SPSS, Python, Power BI, Tableau, and others. Some tools are utilized more in academic research, and some are preferred by industry, but the overlap is expanding. Some have a dashboard that helps viewers dive into the specifics of the data set. USF uses Tableau to make a significant amount of data public (USF system facts, strategic performance data, rankings, survey research, post-graduation outcomes). These technologies are capable of interpreting multiple variables and entries, so they can make working with very large data sets easier. While we won’t work with these tools in this course, expertise with R, SPSS, and Python is often requested and rewarded by employers. Learning coding languages/technologies can also provide you with an edge over other candidates on the job market. Your current data set is probably very small, so you should be able to read it closely and critically without aid from analytic tools. Use Google Forms to look at your responses. When you click on Responses at the top of your Form, you will see some answers displayed as graphics. If you included questions that allow for short answers or longer text, the responses are also included in the Responses, but to manipulate at these results, export the responses to sheets by clicking the green icon. Sheets and Excel share similar functionality. Once your data is in sheets, you can move it around to create different views that allow you to see different patterns. Some basic Forms functions are freezing the first row with the column titles and sorting a sheet by A to Z. You can also move columns around so that you can see the results of two answers together. Simply moving columns and arranging them alphabetically can reveal useful information. If your survey asked whether or not people were familiar with your topic and asked what their major was, you might not notice much by reading down the list of yes and no answers. But if you move those two columns together, you might start to see a connection. And if you ordered the yes/no column alphabetically, you could see all the yes answers together. When you alphabetize a column, the responses in all the rows should move, too, so that the answers stay aligned. By looking at the yes answers next to the list of majors, you might notice that many of most of the respondents who are familiar with the topic are in the same discipline, which would be a pattern you could mention in your findings. If your survey asked people their opinion on their topic and asked where they got their information about the topic, you could line up those two columns to see if there is any connection between the personal opinion and the sources. Describing that information is useful for our Analytic Exploration. Interpretation is an option, too, but be careful not to overstate or assume. For instance, if you see a pattern between a specific opinion on your topic and a source that survey takers with that opinion say they use to get their information, can you suggest that the source is the reason for their opinion? What if confirmation bias is at play and the people who already have an opinion on the topic seek out sources that confirm their opinions? And what if respondents forgot other sources they read? You can describe the connection, but you don’t have enough information to make causal claims. The Analytic Exploration will allow us to practice describing and connecting our findings. The first step is simply describing the data, which is less simple than it might seem. As you read through and organize the data set in search of connections and patterns, think about what you are learning about the people who completed the survey. Consider what the data tell you about what people know and think about the subject. Your data will allow you to make suggestions about what people think or know, so be careful to use suggests, supports, or similar verbs to phrase your claims. Data never prove anything definitively. When you are working with a small sample, in particular, your data can only support certain claims about the subject. For 14.1, you will write one paragraph describing the data. As you are describing the data, include details about the survey, your delivery, and your sample. Explaining to your readers that your results came from a survey distributed to a specific number of users via a specific website helps establish your credibility. Writers who don’t state where their data came from appear to have something to hide, and many readers will discount your claims if you do not provide this information. After providing context, describe what you think are important elements of the findings and note why they are of value. Making and stating that connection can move you beyond summary and description, which is ok in this case, but be sure not to go too far. Next, you will write one sentence summarizing the results. If you wrote a piece about the survey results, this would be the thesis. Remember to avoid overstating or extrapolating the findings. Because you know that your goal will be to connect this work to the larger assignment, your summary should’ve already started to do that work by highlighting a takeaway that you know is relevant to what you looked for and at in your other research and readings. For instance, if your topic were electric vehicles, and your academic and popular articles provided specific information on electrical vehicle usage, hopefully your created your survey questions with that in mind. If one of the articles you read argued that people who bought electric vehicles were most likely to do so for environmental reasons, your survey might have asked readers if they have an electric vehicle and if so, why they bought it. Perhaps you had five respondents who did have an electric vehicle and perhaps all five said they bought it for the options. Your one-sentence summary might state that 100% of the electric vehicle owners you surveyed purchased their electric vehicle for the option. More than one takeaway can be noted in your summary, but if you know what you plan to do with the findings, you only need to note what is relevant. You could say that your results related to the reasons for purchase did not align with the argument from that article. Perhaps it did align with the findings of other articles, and if so, both of those pieces of information would be valuable in your one-sentence summary. In fact, a summary like that would prepare you for synthesis. Finally, you will write one sentence describing how the finding connects to the other sources. You can also write how the finding differs from other sources if your results suggest something the other research does not support, which is a common finding with smaller, focused samples like the one you cultivated. Remember that many research articles use large, random samples to collect data, so their findings make claims about a broad group of people, while your findings make claims about a small, focused group. The difference doesn’t invalidate either their findings or yours and can add critical nuance to your research topic. As you think about nuance, or different perspectives and meanings, consider how your primary data compares to your secondary and even tertiary sources. The goal of research is to generate knowledge, so work with all your sources to create knowledge about a subject that did not exist before. The goal of your research is to discuss all of your sources in relation to each other. Your survey will serve as one of the six sources you consider as part of your Analytic Exploration, so when you start to think through the connections across sources, consider both of the popular sources and all three of the academic articles. To revisit our electric vehicle example, you could say that your results related to the reasons for purchase did not align with the results from one article. Perhaps they did align with the findings of other articles, and if so, both of those pieces of information would be valuable in your one-sentence summary. You might even find that your finding aligns with the three academic sources but none of the popular sources, which would be worth exploring if this were a different or longer assignment. For now, allow your work in 14.1 to prepare you for synthesis. Assignment 14.1 1. Write a one-paragraph description of the results of your survey. 2. Write one sentence summarizing any key finding(s). 3. Write one sentence connecting the finding(s) to the other sources. ...
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