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Education
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Essay
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English (U.S.)
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Topic:

COLLECTING AND ANALYZING DATA

Essay Instructions:
Your submission must be your original work. No more than a combined total of 30% of a submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide. You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course. Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt). A. Develop a problem statement for an educational problem that can be investigated by accessing and analyzing data. The problem statement must state the problem and its impact and cause. B. Identify existing data that you will use to address the problem statement from part A by including the following: • general characteristics or demographics of participants • timeliness of the data • type of data • instrument used to collect the data • how the data are relevant to the problem Note: The data and information used must have been collected prior to beginning this assessment. C. Analyze the data from part B and then provide a summary of the results, including the following: • the method used to analyze the data • a description of the analyzed data results • a visual representation of the analyzed results (e.g., table, chart, graph) D. Provide the following based on the summary of your results from part C: 1. Describe two conclusions from the analyzed data that are relevant to the problem statement from part A. 2. Describe two recommendations for how your conclusions from part D1 could be used to drive continuous improvement to address the educational problem from part A. E. Acknowledge sources, using APA-formatted in-text citations and references, for content that is quoted, paraphrased, or summarized. F. Demonstrate professional communication in the content and presentation of your submission. File Restrictions File name may contain only letters, numbers, spaces, and these symbols: ! - _ . * ' ( ) File size limit: 200 MB File types allowed: doc, docx, rtf, xls, xlsx, ppt, pptx, odt, pdf, csv, txt, qt, mov, mpg, avi, mp3, wav, mp4, wma, flv, asf, mpeg, wmv, m4v, svg, tif, tiff, jpeg, jpg, gif, png, zip, rar, tar, 7z RUBRIC SOE PROFESSIONAL DISPOSITIONS AND ETHICS: NOT EVIDENT The submission demonstrates both behavior and disposition that conflict with the professional and ethical standards outlined in the SOE Professional Dispositions and Ethics. APPROACHING COMPETENCE The submission demonstrates behavior or disposition that conflicts with the professional and ethical standards outlined in the SOE Professional Dispositions and Ethics. COMPETENT The submission demonstrates behavior and disposition that align with the professional and ethical standards outlined in the SOE Professional Dispositions and Ethics. A:PROBLEM STATEMENT NOT EVIDENT A problem statement is not provided. APPROACHING COMPETENCE The problem statement does not include an educational problem or its impact or cause. Or the problem cannot be investigated by accessing or analyzing data. COMPETENT The problem statement includes an educational problem and its impact and cause. The problem can be investigated by accessing and analyzing data. B:EXISTING DATA NOT EVIDENT No existing data is identified. APPROACHING COMPETENCE The identified existing data are missing 1 or more of the given points. Or the identified data do not logically address the problem statement from part A. COMPETENT The identified existing data include each of the 5 given points. The identified data logically address the problem statement from part A. C:SUMMARY OF DATA ANALYSIS RESULTS NOT EVIDENT The data from part B are not analyzed, or a summary of the data analysis results is not provided. APPROACHING COMPETENCE The summary of the analyzed data from part B is not plausible. Or the summary is missing 1 or more of the given points. COMPETENT The summary of the analyzed data from part B is plausible, and each of the 3 given points are provided. D1:CONCLUSIONS NOT EVIDENT A description of 2 conclusions from the summary of data analysis results in part C is not provided. APPROACHING COMPETENCE The description of 1 or both of the conclusions does not align with the summary of the data analysis results from part C or with the problem statement from part A. COMPETENT The description of each of the 2 conclusions aligns with the summary of the data analysis results from part C and with the problem statement from part A. D2:RECOMMENDATIONS NOT EVIDENT A description of 2 recommendations for continuous improvement is not provided. APPROACHING COMPETENCE The description of 1 or both of the recommendations does not align with the conclusions from part D1 or could not logically be used to drive continuous improvement to address the educational problem from part A. COMPETENT The description of each of the 2 recommendations aligns with the conclusions from part D1 and could logically be used to drive continuous improvement to address the educational problem from part A. E:APA SOURCES NOT EVIDENT The submission does not include in-text citations and references according to APA style for content that is quoted, paraphrased, or summarized. APPROACHING COMPETENCE The submission includes in-text citations and references for content that is quoted, paraphrased, or summarized but does not demonstrate a consistent application of APA style. COMPETENT The submission includes in-text citations and references for content that is quoted, paraphrased, or summarized and demonstrates a consistent application of APA style. F:PROFESSIONAL COMMUNICATION NOT EVIDENT Content is unstructured, is disjointed, or contains pervasive errors in mechanics, usage, or grammar. Vocabulary or tone is unprofessional or distracts from the topic. APPROACHING COMPETENCE Content is poorly organized, is difficult to follow, or contains errors in mechanics, usage, or grammar that cause confusion. Terminology is misused or ineffective. COMPETENT Content reflects attention to detail, is organized, and focuses on the main ideas as prescribed in the task or chosen by the candidate. Terminology is pertinent, is used correctly, and effectively conveys the intended meaning. Mechanics, usage, and grammar promote accurate interpretation and understanding.
Essay Sample Content Preview:
Collecting and Analyzing Data Student’s Name Institutional Affiliation A Data-Driven Approach to Investigating Equity in Math Performance Problem Statement The achievement gap in mathematics assessments among young learners is among the most contested debates in the US. For a country that is motivated to offer equal resources and opportunities to all its citizens, it is necessary to address the math performance gaps between the different demographic groups. Among fourth graders, factors such as being male or female, poor or rich, or being a member of a minority ethnic group or from a white background contribute to variations in performances in math assessments (Bradley, 2022). This raises questions on what changes should be made to steer equal performances in math assessments for every fourth-grader in the US. The causes of the score gaps in mathematics assessments can include factors like the environment in which the learners are brought up considering that white neighborhoods have better infrastructure in terms of roads, healthcare facilities, and schools if compared to black neighborhoods in the US. economic backgrounds for learners who are unable to access the resources and stereotypes like the belief that males are generally gifted in math better than females. If not addressed, the disparity in math performances across different demographic groups will fuel more problems including gender inequality, racial discrimination in education, and the inability to allow learners to achieve their potential (Bradley, 2022). This study aims to investigate the factors contributing to disparities in math assessment performances by analyzing existing data on student demographics and math performance among fourth-graders in the US. Targeted Data This study intends to use secondary data to address the identified problem. That is, the researcher will focus on addressing the problem using data that is already published. Specifically, the data for this study will be based on the findings of the National Assessment of Educational Progress (NAEP). NAEP is a large-scale assessment that is administered after every two years. The tests normally target learners in grades 4, 8, and 12 in the US. The principal objective of the tests is to determine various disparities in education within the nation. NAEP is a highly validated resource for data considering its national outlook and the data consistency that it has adhered to every two years for a long period. Also, data retrieved from NAEP can be subjected to comparative analyses through various variables including years, demographic variations, and resource trends. Put simply, NAEP has unique data sources that make it appropriate for inclusion in this study. This study will target various specific variables in the datasets. First among the considerations will be the general characteristics of the demographics. This study intends to assess gaps in math assessment performances among fourth-graders. As such, it will accommodate males, females, and participants from different ethnic groups. The study intends to be as diverse as possible to help with an extensive understanding of the scope of the problem. The second consideration in data collection will be timeliness. This study intends to assess NAEP data concerning math assessments for the period between 2007 and 2022. The range is provided to create a platform for easy comparative analysis through different periods. The type of data will be the other consideration in this study. The research will focus on qua...
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