Approach-3

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Grand Canyon University *

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109

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Information Systems

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Oct 30, 2023

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pptx

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9

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RESEARCH STRATEGY APPROACH SUBSECTION Approach/Methods
Application Guide Instructions Describe overall strategy, methodology, and analyses to be used to accomplish specific aims How data will be collected, analyzed and interpreted Discuss potential problems, alternative strategies, benchmarks for success Strategies to establish feasibility and address high risk aspects of proposed work
Components of Approach Subsection APPROACH : Research Methodology and Design Population and sample selection Data collection procedures instruments used to collect data Ethical considerations Data analysis Expected Outcomes Potential Problems and Alternative Strategies
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Research Methodology and Design Methodology Quant vs qual Design Observational vs experimental Cross-over etc
Population and sample selection The learner defines and describes the population of interest (the group to which the results of the study would be generalized or applicable), the target population from which the sample ultimately is selected and the study sample , who are the individuals who will volunteer or be selected from the target population and are the final source of data, and the final group from whom complete data will be collected. Provides gpower analysis of the number of subjects needed The learner defines and describes the sampling procedures (such as convenience, purposive, snowball, etc.) supported by scholarly research sources.
Data collection procedures The learner describes the procedures for the actual data collection at a level of detail that would allow execution of the study by another researcher. This will include (but not be limited to) how each instrument, measurement technique, or data source will be used, how and where data will be collected, and how data will be recorded. Reliability and validity data is needed The learner includes a sequence of actions or step-by-step procedures to be used to carry out all the major steps for data collection. This includes a workflow and corresponding timeline, presenting a logical, sequential, and transparent protocol for data collection that would allow another researcher to conduct the study.
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Data analysis Describes how raw data are prepared for analysis (i.e., transcribing interviews, conducting member checking, how all sources of data will be organized. and checking for missing data). Describes (for both paper-based and electronic data) the data management procedures adopted to maintain data securely, including the length of time data will be kept, where it will be kept, and how it will be destroyed. The stats that will be used: include the null and alternative hypothesis What will be considered statistically significant The statistical test used The assumptions you will test for and how
Ethical considerations Provides a discussion of ethical issues, per Belmont Report and IRB guidelines, related to the study and the study population of interest. Includes citations. Identifies the potential risks for harm that are inherent in the study. Includes statement in Informed Consent on who has data access Describes the data management procedures adopted to store and maintain paper and electronic data securely, including the minimum 3-year length of time data will be kept, where it will be kept, and how it will be destroyed.
Potential Problems and Alternative Strategies Anticipate and eliminate concerns of reviewers. You do so by presenting alternative strategies to overcome potential problems, should they arise. No matter how well you plan and prepare, problems will develop. Reviewers know this and they will be looking for problems! Offering solutions will make a very positive impression. Reviewers need assurance that, regardless of what might occur, you will still achieve your aims. Alternatives should be proposed using conditional verb forms: If this happens we would . . . In the unlikely event, we would turn to . . . Were this problem to arise, we would employ . . .
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