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Grand Canyon University CLC Exploring COVID 19 in Arizona Paper
This is a Collaborative Learning Community (CLC) assignment.Follow the instructions found in the "CLC - Exploring COVID-19 ...
Grand Canyon University CLC Exploring COVID 19 in Arizona Paper
This is a Collaborative Learning Community (CLC) assignment.Follow the instructions found in the "CLC - Exploring COVID-19 in Arizona" Excel spreadsheet.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion."Hey guys,I'm checking in as well. It looks like there is a lot of work we each need to do individually for this assignment, so we will definitely want to start on that part early. Once each team member has completed their sections we should upload here so that whoever we decide to turn in the homework can add the data to the applicable section and get it turned in with the PowerPoint. I can do the Include a screenshot of the pivot table and bar chart located in the “RawData” tab. Include your group’s initial viewpoints. Are there any patterns or trends that you can validate with COVID-19 research? section of the PowerPoint.KFKendra Fahringer7:16 PMBanipal,If you want to do the Create a roles and responsibility slide and the Explanation of all DCOVA elements you would be able to complete those for the most part without waiting on everyone to upload their sections of the assignment.-Kendra"
RSCH8210 Walden University Quantitative Researcher & Social Phenomena Paper
Post a very brief description (1–3 sentences) of the article you found and address the following: Describe how you thin ...
RSCH8210 Walden University Quantitative Researcher & Social Phenomena Paper
Post a very brief description (1–3 sentences) of the article you found and address the following: Describe how you think the research in the article is useful (e.g., what population is it helping? What problem is it solving?). Using Y=f(X) +E notation, iJust three sentences please very detailed with citations
Boston University Module 4 Data Mining Discussion
Attached Files:
Data MIning Assignment_with rubric ...
Boston University Module 4 Data Mining Discussion
Attached Files:
Data MIning Assignment_with rubric (181.304 KB)
usoccupations.xlsx (621.785 KB)
uscars.xlsx (31.055 KB)
uspopulation.xlsx (142.184 KB)
This assignment provides you with practice using R for data mining techniques. You will use R to classify and cluster dataset to show how data mining methods can be used to classify and cluster data.
Before beginning this assignment, review the learning resources for this module, especially Introduction to Data Mining with R from R DataMining.com, reviewing the steps taken to classify and cluster the iris data set in R.
The purpose of clustering is to form new classification from numerical variables. Therefore, it is important that you remove original classification from the data set prior to conducting clustering. For example, the species variable needs to be removed from the Iris data set because species is a classification. You may then merge back the original specifies variable and compare the newly formed clusters against the original classification to see how they differ.
Complete the following steps and write a report to record your work, results and analysis.
Install and load the *factoextra and **NbClust packages.
Select an appropriate data set in R or the MASS library and use the sample(), ctree() and predict() functions to build a decision tree and plot it. You may also use one of the data sets (usoccupations, uscars, uspopulation) attached to this module for this assignment (you may import directly or convert to CSV first).
Determine the appropriate number of clusters and produce a k-means cluster. Explain your findings.
Produce a density-based cluster with DBSCAN or use logistic regression to construct a binary classification and explain your findings.
*The factoextra package is used to determine the optimal number clusters for a given clustering methods and for data visualization
**The NcClust package provides 30 indices for determining the relevant number of clusters and the best clustering scheme from the different results obtained by varying all combinations of number of clusters, distance measures, and clustering methods. It can simultaneously compute all the indices and determine the number of clusters in a single function call.
Report
Your assignment/project should have a good cover/title page, introduction of what the goals of the project and the methods you use. It also should follow APA format with at least 1000 words (excluding title page and references page) and references page. In the body of your project you should incorporate the R codes and R outputs with interpretation of your results. Be sure to show all the elements in the official hypothesis, including the null and alternative hypothesis, the critical values, calculation of the test statistics and p-values. Finally, you need to make sense of your results to make good points with proper conclusions, to show your understanding of the course material and its application to the dataset.
Graphs, figures, charts, tables are very useful to increase visual effects to impress your readers. You also should do your best to give insight and understanding to the project with a good conclusion. Please use subtitles to make your assignment more reader friendly as well.
10 pages
Assignment 4.0
1. Obtain the mean and standard deviation for ACT math score for each Standard deviation helps us to understand how far t ...
Assignment 4.0
1. Obtain the mean and standard deviation for ACT math score for each Standard deviation helps us to understand how far the values are spread above ...
ASU Theoretical Conceptual Framework Understanding in Qualitative Analysis Paper
delve into an integral component of qualitative data analysis: the role and function of a theoretical or conceptual framew ...
ASU Theoretical Conceptual Framework Understanding in Qualitative Analysis Paper
delve into an integral component of qualitative data analysis: the role and function of a theoretical or conceptual framework and how this framework serves to organize and guide data analysis.
Theoretical or conceptual frameworks provide a particular perspective, or lens, through which to examine a topic (Bloomberg & Volpe, 2019). There are many different lenses—such as psychological theories, social theories, organizational theories, and economic theories—which may be used to define concepts and explain phenomena. Often times, these frameworks may come from an area outside of your immediate academic discipline. Traditionally, research studies for a Ph.D. as well as for applied degrees must include relevant theoretical or conceptual framework(s) to a frame, or inform, every aspect of the dissertation.
Using a framework for your dissertation can help you to better analyze past events by providing a particular set of questions to ask and a particular perspective to use when examining your topic (Bloomberg & Volpe, 2019). The framework posits new relationships and perspectives vis-à-vis the literature reviewed, thereby providing the theoretical or conceptual link between the research problem, the literature, and the methodology selected for your research. In this way, this framework is the scaffolding of the study, drawing on theory, research, and experience, and—as such—becoming the model that guides your study. Most important, it consists of categories that emanate from the literature; and these categories ultimately become the repository for reporting the findings and guiding data analysis and interpretation (Bloomberg & Volpe, 2019).
You may not realize the critical nature of the conceptual framework in guiding the analysis of data that have been collected. The framework is essentially a practical working tool for guiding the analysis of the data collected, and it becomes the foundation for what will become the coding legend or coding scheme. As pointed out by Bloomberg and Volpe (2019), the process of development requires deep thinking and critical analysis on your part. It also requires creativity and innovation, since your framework will become the basis for understanding, analyzing, and designing ways to investigate the phenomenon you are studying.
To complete this week’s assignment, you have been provided with various resources, including a toolbox that includes all the necessary information to complete this multifaceted assignment. The toolbox contains the following materials: an abridged Chapter One, a data collection instrument (interview guide), three sample coding schemes, and a sample coded interview transcript.
As you are moving forward each week, you should continue to contribute your thoughts and ideas regarding qualitative data analysis to your research journal. The hope is that you are enjoying this reflective process, You can begin preparing for this assignment by completing the following guided steps:
Begin by reading the resources that are provided this week (book chapter and article).
Next, carefully review all the materials in the toolbox. There are various points you should note:
The three coding schemes were developed for this study. The first scheme was based on the literature, Version 1 was an early rendition, and Version 2 was the final coding scheme that was used to code the data.
Coding schemes are usually developed in stages as the researcher seeks to determine the most appropriate and relevant codes. Notice how the coding scheme became more condensed and streamlined as the researcher worked carefully to develop it.
Regarding the partially coded sample transcript (only questions 1-5 are coded), notice how codes are inserted in red to refer to specific coded data segments within the text. When you are coding a transcript, you may choose to use any number of ways to add your codes (colors, highlights, etc.).
Notice how a segment of the transcript may sometimes be assigned more than one code. This type of multiple coding often occurs during an initial round of coding where you are testing out or test driving your coding scheme. As your analysis of the data progresses, further rounds of review will serve to make these segments more clearly defined, allowing you to assign only the most appropriate or relevant codes.
WRITING
Once you feel that you prepared, and are sufficiently familiar with all the material you have been provided, you can begin writing a paper that incorporates the following four parts:
Part 1:
Describe what you understand as a theoretical/conceptual framework, and the role it plays in qualitative data analysis. Be very clear and explicit, and include relevant examples in your discussion.
Part 2:
Provide a critique of the three coding schemes that were provided in your toolbox. Based on all the other material in the toolbox, you should have a good idea of which codes may be applied to the transcript. Review each of the coding schemes again. Think carefully about what codes you might you add to any of the schemes, and what codes might you collapse. Explain your reasons in detail.
Part 3:
Think of a possible hypothetical study that relates to a topic of interest you have in mind for a study or even your future dissertation. Consider a theoretical or conceptual framework that you might apply to this topic. This framework may be something you have been thinking about for some time already, or it may be a new idea. In a few paragraphs, explain how and why this framework could be relevant to a future study to aid your analysis.
Part 4:
Based on your knowledge of a potential research topic, brainstorm or predict a list of codes that you think might serve to create your coding scheme. Your list should be comprehensive and as detailed as possible. This hypothetical coding scheme may include literature-based codes and/or codes that you have thought of based on your own professional experience. For this final portion of the assignment there are two components:
Explain your coding process in detail including all the decisions you made along the way.
Present the actual coding scheme that you have developed.
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Grand Canyon University CLC Exploring COVID 19 in Arizona Paper
This is a Collaborative Learning Community (CLC) assignment.Follow the instructions found in the "CLC - Exploring COVID-19 ...
Grand Canyon University CLC Exploring COVID 19 in Arizona Paper
This is a Collaborative Learning Community (CLC) assignment.Follow the instructions found in the "CLC - Exploring COVID-19 in Arizona" Excel spreadsheet.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion."Hey guys,I'm checking in as well. It looks like there is a lot of work we each need to do individually for this assignment, so we will definitely want to start on that part early. Once each team member has completed their sections we should upload here so that whoever we decide to turn in the homework can add the data to the applicable section and get it turned in with the PowerPoint. I can do the Include a screenshot of the pivot table and bar chart located in the “RawData” tab. Include your group’s initial viewpoints. Are there any patterns or trends that you can validate with COVID-19 research? section of the PowerPoint.KFKendra Fahringer7:16 PMBanipal,If you want to do the Create a roles and responsibility slide and the Explanation of all DCOVA elements you would be able to complete those for the most part without waiting on everyone to upload their sections of the assignment.-Kendra"
RSCH8210 Walden University Quantitative Researcher & Social Phenomena Paper
Post a very brief description (1–3 sentences) of the article you found and address the following: Describe how you thin ...
RSCH8210 Walden University Quantitative Researcher & Social Phenomena Paper
Post a very brief description (1–3 sentences) of the article you found and address the following: Describe how you think the research in the article is useful (e.g., what population is it helping? What problem is it solving?). Using Y=f(X) +E notation, iJust three sentences please very detailed with citations
Boston University Module 4 Data Mining Discussion
Attached Files:
Data MIning Assignment_with rubric ...
Boston University Module 4 Data Mining Discussion
Attached Files:
Data MIning Assignment_with rubric (181.304 KB)
usoccupations.xlsx (621.785 KB)
uscars.xlsx (31.055 KB)
uspopulation.xlsx (142.184 KB)
This assignment provides you with practice using R for data mining techniques. You will use R to classify and cluster dataset to show how data mining methods can be used to classify and cluster data.
Before beginning this assignment, review the learning resources for this module, especially Introduction to Data Mining with R from R DataMining.com, reviewing the steps taken to classify and cluster the iris data set in R.
The purpose of clustering is to form new classification from numerical variables. Therefore, it is important that you remove original classification from the data set prior to conducting clustering. For example, the species variable needs to be removed from the Iris data set because species is a classification. You may then merge back the original specifies variable and compare the newly formed clusters against the original classification to see how they differ.
Complete the following steps and write a report to record your work, results and analysis.
Install and load the *factoextra and **NbClust packages.
Select an appropriate data set in R or the MASS library and use the sample(), ctree() and predict() functions to build a decision tree and plot it. You may also use one of the data sets (usoccupations, uscars, uspopulation) attached to this module for this assignment (you may import directly or convert to CSV first).
Determine the appropriate number of clusters and produce a k-means cluster. Explain your findings.
Produce a density-based cluster with DBSCAN or use logistic regression to construct a binary classification and explain your findings.
*The factoextra package is used to determine the optimal number clusters for a given clustering methods and for data visualization
**The NcClust package provides 30 indices for determining the relevant number of clusters and the best clustering scheme from the different results obtained by varying all combinations of number of clusters, distance measures, and clustering methods. It can simultaneously compute all the indices and determine the number of clusters in a single function call.
Report
Your assignment/project should have a good cover/title page, introduction of what the goals of the project and the methods you use. It also should follow APA format with at least 1000 words (excluding title page and references page) and references page. In the body of your project you should incorporate the R codes and R outputs with interpretation of your results. Be sure to show all the elements in the official hypothesis, including the null and alternative hypothesis, the critical values, calculation of the test statistics and p-values. Finally, you need to make sense of your results to make good points with proper conclusions, to show your understanding of the course material and its application to the dataset.
Graphs, figures, charts, tables are very useful to increase visual effects to impress your readers. You also should do your best to give insight and understanding to the project with a good conclusion. Please use subtitles to make your assignment more reader friendly as well.
10 pages
Assignment 4.0
1. Obtain the mean and standard deviation for ACT math score for each Standard deviation helps us to understand how far t ...
Assignment 4.0
1. Obtain the mean and standard deviation for ACT math score for each Standard deviation helps us to understand how far the values are spread above ...
ASU Theoretical Conceptual Framework Understanding in Qualitative Analysis Paper
delve into an integral component of qualitative data analysis: the role and function of a theoretical or conceptual framew ...
ASU Theoretical Conceptual Framework Understanding in Qualitative Analysis Paper
delve into an integral component of qualitative data analysis: the role and function of a theoretical or conceptual framework and how this framework serves to organize and guide data analysis.
Theoretical or conceptual frameworks provide a particular perspective, or lens, through which to examine a topic (Bloomberg & Volpe, 2019). There are many different lenses—such as psychological theories, social theories, organizational theories, and economic theories—which may be used to define concepts and explain phenomena. Often times, these frameworks may come from an area outside of your immediate academic discipline. Traditionally, research studies for a Ph.D. as well as for applied degrees must include relevant theoretical or conceptual framework(s) to a frame, or inform, every aspect of the dissertation.
Using a framework for your dissertation can help you to better analyze past events by providing a particular set of questions to ask and a particular perspective to use when examining your topic (Bloomberg & Volpe, 2019). The framework posits new relationships and perspectives vis-à-vis the literature reviewed, thereby providing the theoretical or conceptual link between the research problem, the literature, and the methodology selected for your research. In this way, this framework is the scaffolding of the study, drawing on theory, research, and experience, and—as such—becoming the model that guides your study. Most important, it consists of categories that emanate from the literature; and these categories ultimately become the repository for reporting the findings and guiding data analysis and interpretation (Bloomberg & Volpe, 2019).
You may not realize the critical nature of the conceptual framework in guiding the analysis of data that have been collected. The framework is essentially a practical working tool for guiding the analysis of the data collected, and it becomes the foundation for what will become the coding legend or coding scheme. As pointed out by Bloomberg and Volpe (2019), the process of development requires deep thinking and critical analysis on your part. It also requires creativity and innovation, since your framework will become the basis for understanding, analyzing, and designing ways to investigate the phenomenon you are studying.
To complete this week’s assignment, you have been provided with various resources, including a toolbox that includes all the necessary information to complete this multifaceted assignment. The toolbox contains the following materials: an abridged Chapter One, a data collection instrument (interview guide), three sample coding schemes, and a sample coded interview transcript.
As you are moving forward each week, you should continue to contribute your thoughts and ideas regarding qualitative data analysis to your research journal. The hope is that you are enjoying this reflective process, You can begin preparing for this assignment by completing the following guided steps:
Begin by reading the resources that are provided this week (book chapter and article).
Next, carefully review all the materials in the toolbox. There are various points you should note:
The three coding schemes were developed for this study. The first scheme was based on the literature, Version 1 was an early rendition, and Version 2 was the final coding scheme that was used to code the data.
Coding schemes are usually developed in stages as the researcher seeks to determine the most appropriate and relevant codes. Notice how the coding scheme became more condensed and streamlined as the researcher worked carefully to develop it.
Regarding the partially coded sample transcript (only questions 1-5 are coded), notice how codes are inserted in red to refer to specific coded data segments within the text. When you are coding a transcript, you may choose to use any number of ways to add your codes (colors, highlights, etc.).
Notice how a segment of the transcript may sometimes be assigned more than one code. This type of multiple coding often occurs during an initial round of coding where you are testing out or test driving your coding scheme. As your analysis of the data progresses, further rounds of review will serve to make these segments more clearly defined, allowing you to assign only the most appropriate or relevant codes.
WRITING
Once you feel that you prepared, and are sufficiently familiar with all the material you have been provided, you can begin writing a paper that incorporates the following four parts:
Part 1:
Describe what you understand as a theoretical/conceptual framework, and the role it plays in qualitative data analysis. Be very clear and explicit, and include relevant examples in your discussion.
Part 2:
Provide a critique of the three coding schemes that were provided in your toolbox. Based on all the other material in the toolbox, you should have a good idea of which codes may be applied to the transcript. Review each of the coding schemes again. Think carefully about what codes you might you add to any of the schemes, and what codes might you collapse. Explain your reasons in detail.
Part 3:
Think of a possible hypothetical study that relates to a topic of interest you have in mind for a study or even your future dissertation. Consider a theoretical or conceptual framework that you might apply to this topic. This framework may be something you have been thinking about for some time already, or it may be a new idea. In a few paragraphs, explain how and why this framework could be relevant to a future study to aid your analysis.
Part 4:
Based on your knowledge of a potential research topic, brainstorm or predict a list of codes that you think might serve to create your coding scheme. Your list should be comprehensive and as detailed as possible. This hypothetical coding scheme may include literature-based codes and/or codes that you have thought of based on your own professional experience. For this final portion of the assignment there are two components:
Explain your coding process in detail including all the decisions you made along the way.
Present the actual coding scheme that you have developed.
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