In this presentation, I cover the steps to fleshing out data collection with more vigorous research methods. The discussion includes nonrandom sampling in Quasi-experimental Designs, focusing on variables (blocking or otherwise), and regular recording intervals.
This section introduces topics such as Longitudinal Analysis, in which one group/individual is recorded periodically. It also covers Cross-sectional Analysis–a multi-group analysis based on variants. My example of weight on HRT is a Longitudinal Analysis, although it’d be preferrable to weight my results alongside a group of other women on HRT with a similar age/BMI; however, if I were to be compared with other people of the same age/BMI who were not on HRT, I would be part of a cross-sectional analysis.
Works cited
Duesbery, l. & Twyman, T. (2019). 100 Questions (and Answers) About Action Research. SAGE Publications.
And… my own personal diary
Great presentation, it’s a lot of relevant information for our research. Your explanation of cross-sectional designs being 2 longitudinal designs put into one is very helpful. in my research of cross-sectional surveys for my topic, I described it as examining data of several groups at one time. For longitudinal surveys, I found that it was collecting data at more than one point in time, perceptions over time. Your personal information on action research about weight loss is more of a single-person sample over time but I get the jest of collecting data over time.
Ellinor!
I love your presentations. You are really great with explaning everything so we know more about the topic.
Longitudal designs reminded me a lot of single-case data. Keeping true with observing the same group/individual. I think the main distinction between the two is that single-case data can be applied to things other than people, though. Loved how the presentation broke this down, much better explained than the book.