Part 1: SubjectsThis section describes what subjects your research used. What people, groups, and times was data collected. How many subjects? Describe what the subjects generally look like. For us they will all be current Grossmont College students. How were they be chosen? That is, discuss your sampling method and rationale for using that method. For us it will be a convenience sample. What is the sample size and proportion of the total population? Will any Βcontrol or comparison group(s)Β be used? If so, describe them. Since we are using a convenience sample what limitations and perhaps biases are you anticipating in your data? Is this OK? (Yes) This section will obviously need to be updated after data collection is finished. You can guess or put place markers in at this point until we know the final numbers of our sample.Part 2: ProceduresDiscuss how and why the online survey you plan to use is most appropriate for studying your particular problem. Describe each step in the process of producing data.Part 3: Data CollectionDescribe and discuss all survey questions you plan to use to collect data. Importantly, provide a reason for why you feel these would be the most useful to obtain data you need to evaluate your project. Discuss what useful information they will produce from your respondents. Will your survey questions be in sections or a specific order? Why will you use that order? Organize your discussion of questions into the major sections of your questionnaire and discuss what general kinds of information each overall section will produce (e.g., background/
demographic info, opinions/attitudes, behaviors, etc.). Describe your schedule for distributing your questionnaires (or administering your interviews or experimental observations).Part 4: Data Analysis PlanTell the reader specifically what you will do with the data you collect. What types of statistical inferential tests you will run and why you will use them. What groups or subgroups will you compare? I want what specific questions will be used for what tests (Correlation, T Test, ANOVA or Chi Square). Break down your plan to analyze your data in steps for the reader. Example: We will use an ANOVA to compare the Quantitative Variable GPA from Question 4 (Our DV) by the Categorical Variable of students major from Question 3 (Our IV) Γ’ΒΒ¦.Ex: We will run a correlation r test between the answers to Question 3 and Question 7 to test a possible association between the Quantitative Variables time spend driving to campus (Q3) and students self-reported GPA from last semester (Q7)Every question you ask in your survey must be useful toward your Final Data Analysis Section. Make sure you list how you will analyze each and every question you have. If you donΓ’ΒΒt plan (or have a plan) to analyze a question Γ’ΒΒ do not include that question!You should also discuss what descriptive statistics you will run as well. (mean, median, standard deviation, histograms all used to describe your sample to the reader. Include what tables and graphs you will use and why. There will be an entire section of your RESULTS section devoted to descriptive statistics and describing your sample.