Purpose of Study: Looking at the attitudes of current and former university students about climate change research methods.
Questions:
Do demographic factors have an affect on how participatory ones views are on research design. Do these factors affect how participatory their views are, and how much they agree with given statements.
Does level of exposure to certain types of course content affect how participatory their views are, and how much they agree with given statements.
Nature of Data:
Demographics - age, ethnicity, gender, degree subject, identify as LGBT+?, disability (nominal/ordinal data)
Exposure to __ in degree course, eg sources from climate scientists, sources from intergovernmental organisations (ordinal data)
Dependent variables:
How participatory their views are for research. Measured through multiple choice of preferred actions to take in certain situations. I have ranked the actions from most to least participatory (1-4) and have calculated an average score across the questions for each participant.
How much they agree with statements (ordinal)
My questions:
-With the scores for participatory-ness, would this be counted as ordinal or interval data? The choices are ordered and treated as a 1-4 scale.
-Which stats test or tests should I use to analyse this data. Could it be multiple t-tests, an ANOVA for each question, or would it be a single ANOVA including all IVs? Or would it be something else?
-In the questionnaire, some participants did not fill out all questions such as specific demographic questions. Can these participants still be included in the tests and these questions be left blank or would they need to be removed from some or all of the tests?
Thank you for your help with this!
Questions:
Do demographic factors have an affect on how participatory ones views are on research design. Do these factors affect how participatory their views are, and how much they agree with given statements.
Does level of exposure to certain types of course content affect how participatory their views are, and how much they agree with given statements.
Nature of Data:
Demographics - age, ethnicity, gender, degree subject, identify as LGBT+?, disability (nominal/ordinal data)
Exposure to __ in degree course, eg sources from climate scientists, sources from intergovernmental organisations (ordinal data)
Dependent variables:
How participatory their views are for research. Measured through multiple choice of preferred actions to take in certain situations. I have ranked the actions from most to least participatory (1-4) and have calculated an average score across the questions for each participant.
How much they agree with statements (ordinal)
My questions:
-With the scores for participatory-ness, would this be counted as ordinal or interval data? The choices are ordered and treated as a 1-4 scale.
-Which stats test or tests should I use to analyse this data. Could it be multiple t-tests, an ANOVA for each question, or would it be a single ANOVA including all IVs? Or would it be something else?
-In the questionnaire, some participants did not fill out all questions such as specific demographic questions. Can these participants still be included in the tests and these questions be left blank or would they need to be removed from some or all of the tests?
Thank you for your help with this!
Last edited: