Analyze Secondary Data, Archived Data, and Measurement of Variables

Analyze Secondary Data, Archived Data, and Measurement of Variables

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This assignment consists of three parts:For Parts 1 and 2:Go to the NCU library from your home page. Examine the guide to primary and secondary sources to see what is available. This can be found underLibGuides → Research Process → Primary and Secondary Resources. Then go back to the library home page and either conduct a search using theRoadrunner Search or go to the Statista database in the A-Z Databases list to locate data to answer the following questions. The library’s guide on Statisticsmay also be helpful.Use tables and figures to explain your determination and support your rationale in answering the question. Be specific. Practice creating your own tables andfigures to support your conclusion. You cannot use tables and/or figures from another source without copyright permission in your published dissertationresearch study. Be sure to cite the source of the table/figure using APA formatting.Part 1: Internet Data Usage and Age Over TimeDoes there appear to be a relationship between adult internet usage and age between 2000 and 2018?Part 2: Data Breaches in Health Care Over TimeHas the incidence of data breaches in the health/medical sector increased in the last five years?Part 3: Archived DatasetIdentify one dataset (also referred to as a database) publicly available for research. A list of possible sources is included in this week’s resources or chooseone that may be appropriate for your research study topic. You do not need to open the dataset that includes raw numbers.To operationalize the dataset, gather the following information about the dataset. Dataset information is most likely contained in a document separate fromthe dataset and may be identified as a database dictionary, codebook, or program record layout. For the assignment response, include the followinginformation using the headings and format outlined here:ASSIGNMENT OUTLINE STARTDataset Name.Enter text on this line.Dataset Source.Enter text on this line.Dataset Location.Enter text on this line. (include link if available)Dataset Overview.Include three to five sentences to provide context for the Reader. This may include industry, focus, and original purpose for collecting the data.Dataset Timeframe.Enter text on this line.Four Variables.For each of the four variables, separately list the following information, using separate headings for each variable. If the information is not available, thenindicate ‘not available.’ Follow the template below for each of the variables/constructs.State Variable Name [include dataset abbreviation if appropriate]
Definition of the Variable. Enter text here.Source of Data. (This might be self-reported by business, self-reported by survey, observation, etc.)Scoring of the Variable. Enter text here. For variables, this might be age in years, number of defects per quarter, group membership, etc. For constructs, thismight be computation of multiple questions on a survey or multiple variables that make up the construct.Level of Measurement. Enter text here. Below is a reminder of the measurement levels you learned in Statistics 1. Do not include the measurement leveldefinitions in your assignment responseNominal. Nominal data are measured at the discrete level depicting independent categories with no underlying order. Examples of nominal data are sex, race,and organizational department membership.Ordinal. Ordinal data are measured at the discrete level with separate categories that imply an underlying hierarchy. Examples of nominal data are educationlevel, age groups, or simply categories of high, medium, and low. Some Likert scales may be deemed by the researcher as ordinal data.Interval. Interval data are measured on a continuous scale with ‘equal-appearing’ intervals and without an absolute zero point. Examples of interval data aretime, temperature, credit score, and test scores. Some Likert scales may be deemed by the researcher as interval data.Ratio. Ratio data are measured on a continuous scale with equal intervals and an absolute zero point. Examples of ratio data are age, income, and defectsper lot. A researcher may deem an otherwise ratio data as interval if, for purposes of the research, the measurement level truncates the zero point orotherwise holds a floor or ceiling effect.Score Range and Interpretation. Enter text here. Include the total possible range of scores for the variable and how to interpret the range. The score rangeand interpretation might be ‘Six-point Likert scale with ‘1’ meaning “Not Satisfied at All,” and ‘6’ meaning ‘Completely Satisfied;’ or perhaps a four-point ordinalscale with ‘1’ meaning no use, ‘2’ meaning little use, ‘3’ meaning moderate use, and ‘4’ meaning a lot of use. For nominal variables that form a discretecategory then identify the coding scheme, for example 1 = male; 2 = female.Reflection.Enter text here. Describe advantages, disadvantages, challenges, and benefits that you feel may should be considered if you were to use an archived datasetfor your dissertation research study.ASSIGNMENT OUTLINE STOPLength: Your paper should be at least 5 but may be as long as 10 pages, if the table and/or figures are included. This does not include the title and referencepage. You are encouraged to make effective use of tables and/or figures in your presentation.References: Include a minimum of three 5 scholarly sources.

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