Week9DataCollection.docx

Week 9 Data Collection, Testing, and Observation/Data Collection, Interviewing

· NGR 5110 – Nursing Research Week 9
Data Collection, Testing, and Observation/Data Collection, Interviewing
Welcome to week nine where things begin to become interesting. We are going to explore an important part of research and that is the collection of data. We must explore the data assessment, via observation, and client interviewing (seen in qualitative studies). You will read chapters 14 and chapter 15 in your textbook prior to engaging in our discussion board. on Saturday night at 2359, phase 3 will be due.
As you continue to advance this week, please keep in mind the information you obtained last week in chapter 12 and chapter 13 which focused on ethical issues, consents, as well as participant recruitment. Remember these conditions must be met prior to engaging in research studies, especially where human subjects are involved. So, with that being said, let’s think about data and its management.
What is data?
Basically, data or the plural form is called “datum.” Essentially data are pieces of information or facts that are collected for a research study. This carried out through data collection procedures. Ideally, collected data procedures is one that captures the information in a way that it is relevant, credible, accurate, truthful and sensitive. The method is which data is collected should be objective (free of bias) and systematic. It must be appropriate to the problem, the hypothesis, the setting, and the population.
What is research data management?
Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). It also involves decisions about how data will be preserved and shared after the project is completed (for example, depositing the data in a repository for long-term archiving and access).
Data management planning and things to consider.
An important first step in managing your research data is planning. To get you started thinking about data management planning, here are some of the issues you need to consider:
· Your institution’s and funding agency’s expectations and policies
· In many cases you need Institutional Review Board (IRB) permission prior to collection of data
· Whether you collect new data or reuse existing data
· The kind of data collected and its format
· The quantity of data collected
· Whether versions of the data need to be tracked
· Storage of active data and backup policy and implementation
· Storage and archiving options and requirements
· Organizing and describing or labeling the data
· Data access and sharing
· Privacy, consent, intellectual property, and security issues
· Roles and responsibilities for data management on your research team
· Budgeting for data management
Videos:
What is Data?

What is data management – and why do you need it in interdisciplinary life sciences?

Tests of Function, Physical Assessment Measures, and Biological Tests are types of data testing
Testing of Data (Suggestions for Improvement)
· Make sure everyone is looking at the same requirements.
· Write a test plan.
· Decide what to test.
· Decide where to test.
· Decide how much to test.
· Keep an eye out for odd things.
· Stay focused on what you are trying to test.
Website Link – Testing:
This link features a publication by Karis Van Valin 11/27/2017 where he expands on the suggested data testing improvement techniques.

https://www.stickyminds.com/article/7-steps-improving-your-data-testing

Observations
According to literature, observations is a way of collecting data through monitoring/watching. Observation data collection method is classified as a participatory study, because the researcher has to immerse himself/herself in the setting where her respondents are, while taking notes and/or recording.
Video: Research Methods: Observations
Assignments due this week:
Discussion Question #5 (Assignment worth 1 point)
What are the challenges encountered in data collection as it applies to research? What are the types of interview technique when interviewing participants? List your preferences and tell us why?
*Remember APA guidelines regarding references and citations in your discussion posts.

Phase 3-Implementation (Due by WEEK 9) (Assignment worth 10 points)
Phase 3 of the research project is the implementation phase. The implementation phase will be written in the future state as we will not be implementing the actual project. This phase focuses on providing steps by steps instructions on how the program will be implemented, a table describing the time frame of the project, if there is any budget that needs to be taking into account, and any resources or statistically tools required. The length of this paper should be around 5-6 pages.
Please pay very close attention to your APA 7th edition formatting, grammar, in-text citations, and references. If necessary, consult the University’s Writing Center for additional assistance.

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