Chat with us, powered by LiveChat Research Question BrainstormBackgroundDuring this week you will bra | Writedemy

Research Question BrainstormBackgroundDuring this week you will bra

Research Question BrainstormBackgroundDuring this week you will bra

Research Question BrainstormBackgroundDuring this week you will brainstorm a list of research questions you are interested in, which will help you work towards your Week 1 Assignment. You are working towards creating a list of at least 10 unique research questions that encompass a variety of topics and types of variables. Think about exploring relationships between variables, making predictions for one variable using one or more other variables, and determining differences between groups across one or two variables. In future weeks, you will pull questions from this list that might lend themselves to a particular statistical analysis, thus saving valuable time in not needing to brainstorm research ideas. During those weeks you will take the research question and create a mini-research proposal that will help you consider the application of a specific statistical analysis to that question.Discussion Assignment RequirementsInitial Posting – To earn full participation points, include in your initial posting at least 5 potential research questions by Day 3. Have fun with these questions and choose topics you are truly interested in, whether they are leadership, training, sports, social media, politics, movies, or food. This will make the research design process much more enjoyable. If you need help coming up with ideas, ask your instructor for examples. Also, feel free to post more than 5 research questions as it would be useful to get feedback on as many questions as possible.For each of the questions, provide the following: List the research question (be sure to phrase as a measurable question) Identify the variables presented in the question Provide an operational definition for each variable Describe each variable’s scale of measurement (nominal, ordinal, interval, or ratio) and characteristics (i.e., discrete vs. continuous, numerical vs. categorical, etc.)

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