Hello, I am having a hard time creating SOP and what Variables to consider in my study. Can you help me with what should I only consider for my SOP so that I can fully implement descriptive statistics? And can you suggest what descriptive statistic model/method to analyze the data that I will collect form the surveys (My research is about finding the influence of the COVID-19 Pandemic in a rail transit line and its commuters/passengers of urban transit(from my country, the Philippines)
This is what I came up with as of now:
The study was conducted and seek to answer the following questions:
1. What is the demographic profile of the respondents in terms of:
1.1. Age
1.2. Status (Student/Worker/Non-worker)
2. Impacts of Covid19-Pandemic to the Metro rail transit transportation system in terms of :
2.1 Safety
2.2 Travel-Time
2.3 Service
2.4 Economy
3. How do the public commuters adapt to the contemporary situation of railway transportation in terms of :
3.1 Convenience
3.2 Accessibility
3.3 New Guidelines
3.4 Limited Capacity
The descriptive statistics will describe your sample; then it will be followed by the necessary steps for inferential statistics, in order to infer the results to the population.
The analysis approach will be focused on analyzing each variable or question in the questionnaire and also on testing the relationship between any different variables.
Each variable can be numerical scale, categorical binary, categorical nominal, or categorical ordinal. The descriptive statistic of the sample for each numerical scale variable will be based on computing: Central Tendency “Mean - Median - Mode”, Dispersion “standard deviation – range – maximum – minimum”, Position “quartile and percentile”, Skewness & Kurtosis, and drawing the histogram. The descriptive statistic of the sample for each categorical variable (binary, nominal, or ordinal) will be based on computing: frequency distribution table “FDT”, and drawing the equivalent bar chart or pie chart.
Each two variables relationship can be a combination of each of the four different variables “numerical scale or categorical binary, categorical nominal, or categorical ordinal”. The descriptive statistics of two numerical variables relationship will be based on computing the correlation between them and drawing the split histogram. While the descriptive statistics for two categorical variables (binary, nominal, or ordinal) will be based on the contingency table and the relative chart. Lastly, the descriptive statistics for one categorical variable & one numerical variable will be based on computing the numerical descriptive statistics for each option in the categorical variable.
If you need to infer your results to the population, then a null hypothesis (Ho) can be assumed. If Ho is rejected, then the alternative hypothesis (Ha) is adopted.
Regards
Hussein Chible Relationships between variables, especially correlations, are not descriptive statistics.
David L Morgan
https://libguides.library.curtin.edu.au/uniskills/numeracy-skills/statistics/descriptive#s-lg-box-wrapper-25241991
https://libguides.library.curtin.edu.au/uniskills/numeracy-skills/statistics/descriptive
To use descriptive statistics, you must be looking at the relationship between the variables of interest
- Badges
- Science topic
- Similar topics
- Biological Science
- Bioecology
- Systems Ecology
- Landscape Ecology
- Connectivity