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1 RSCH 202 Intro to Research Methods - Data Analysis Plan Student Instructor Institution Course Date

2 RSCH 202 Intro to Research Methods - Data Analysis Plan Variables The variables in this study would be:  Independent Variable: Transition to a pilotless flight system  Dependent Variables: Economic implications, Social implications, and Environmental Implications Hypothesis The following are the possible hypothesis that can be drawn from the research topic: Economic implications : The transition to a pilotless flight system will have economic implications including potential cost savings, efficiency gains, changes in employment opportunities, and revenue generation. Social implications : The transition to a pilotless flight system will have varying effects on social factors such as public acceptance, trust, safety perception, and job displacement. Environmental implications : The transition to a pilotless flight system will impact environmental factors such as fuel consumption, carbon emissions, noise pollution, and airspace congestion. Data analysis techniques Combining qualitative and quantitative data analysis strategies would be acceptable for the proposed research. Thematic analysis is one of the qualitative analytic methods that would be used to examine the qualitative information gathered through focus groups, surveys, and

3 interviews. Finding patterns, themes, and categories within the data using thematic analysis can help you comprehend the societal effects of switching to a pilotless aircraft system (Vaismoradi et al., 2013). In order to find common themes and viewpoints about public acceptability, safety concerns, and job displacement, it would be helpful to code and categorize the qualitative data. Techniques for statistical analysis would be used for the quantitative data. The gathered economic and environmental data would be summarized using descriptive statistics. Means, percentages, and standard deviations are metrics that may be used to represent the data's central tendency and variability (Australian Bureau of Statistics, 2023). To investigate correlations and test hypotheses, inferential statistics may be used. Regression analysis, for instance, might be used to examine the connection between the adoption of a pilotless flying system and financial results, such as cost reductions or income creation. To examine the data and test hypotheses on the social, economic, and environmental implications, hypothesis testing techniques such as t- tests or analysis of variance (ANOVA) might be utilized. Justification for the Data Analysis Techniques It is suitable for this research to combine qualitative and quantitative analytic methods since it enables a thorough understanding of the possible effects of moving toward a pilotless flying system. Qualitative analysis, which captures a range of viewpoints and experiences, offers in-depth insights into the social consequences (Tenny et al., 2022). The thematic analysis contributes to a fuller knowledge of social issues by identifying common themes and patterns. On the other hand, quantitative analysis enables the use of numerical data to examine the consequences for the economy and the environment. While inferential statistics aid in the testing of hypotheses and the exploration of correlations between variables, descriptive statistics provide a summary of the data. Depending on the kind of data and research questions/hypotheses being

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4 studied, specialized statistical tests, such as regression analysis and hypothesis testing, may be used.

5 References Australian Bureau of Statistics. (2023, February 2). Measures of central tendency | Australian Bureau of Statistics . Www.abs.gov.au. https://www.abs.gov.au/statistics/understanding- statistics/statistical-terms-and-concepts/measures-central-tendency Tenny, S., Brannan, J., & Brannan, G. (2022). Qualitative study . National Library of Medicine; StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK470395/ Vaismoradi, M., Turunen, H., & Bondas, T. (2013). Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & Health Sciences , 15 (3), 398–405.

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