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Running head: DATA ANALYSIS
1
Module 7: Data Analysis
Kevin Thongkham
Embry-Riddle Aeronautical University – Worldwide
RSCH 202 – Intro to Research Methods
Dr. Natalie Walker
February 27, 2022
DATA ANALYSIS
2
Module 7: Data Analysis
I am conducting research on how to grow healthy Petunias at home. The purpose of this study is to see how changing the type of soil affect the growth of Petunias. There are a few questions to address about my research topic on growing healthy Petunias. Does soil that is too acidic affect the growth of Petunias? Why do soil pH matter for Petunias? How much sunlight do
they need? Why do some Petunias start to turn yellow? How much water and sunlight do they need to grow optimally? What environmental factors affect plant growth?
For independent variables, I chose soil type used, water, and amount of sunlight. For dependent variables, I chose Plant growth. In my research, I will be using nominal data. The nominal data will be soil type used because this value is quality, not quantity. I will also be using ordinal type of data in my research. Ordinal data is a statistical type of quantitative data in which variables exist in naturally occurring ordered categories. We can use ordinal numbers to define their position like a Likert scale with how much water we use and the amount of sunlight to see the progress of the plant growth.
The data analysis techniques that I believe are appropriate to apply to my proposed study will be Qualitative data analysis techniques. There are two main qualitative data approaches. They are deductive and inductive. Deductive approach is the “analysis method that is used by researchers and analysts who already have a theory or a predetermined idea of the likely input from a sample population” (
Top 4 Data Analysis Techniques
, 2021). It aims to collect data that is
accurate and supports the theory or hypothesis. Inductive approach is a “researcher or analyst with little insight into the outcome of a sample population collects the appropriate amount of data about a topic of interest” (
Top 4 Data Analysis Techniques
, 2021). They investigate the data for patterns and aims to develop a theory to explain the patterns.
DATA ANALYSIS
3
References
Top 4 Data Analysis Techniques
. (2021, March 22). Maryville Online. https://online.maryville.edu/blog/data-analysis-techniques/
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