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Thanks! I think you're totally right but I still need to do these kinds of
analyses for my research.. If you have a better idea on how to solve this I will be very much open to know that tho:) But just reading more about what the analyses actually mean will not finish my thesis. (I do know what you mean, like there shouldn't be multicollinearity etc. for this model). I still have to research the relationship between season and weather conditions and 5 physical activity variables and I don't know how to do it if I cannot use multiple regression. Maybe it is good to do one analysis with season and one with weather conditions? -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
Before you "do these kinds of analyses for your research" you need to
properly conceptualize and articulate an appropriate research question. It sounds to me like you're jumping over the most important steps to arrive at one of the last ones (running a statistical model) in an incorrect order. Ultimately, a "season" is just a description of several different things that occur during a regular cycle during the year and result from the tilt of the earth's axis and your position on the globe. This strongly affects weather conditions and related phenomena like hours of sun per day. So the season (time of year) could be thought about as the IV and the weather conditions and similar as various mediating variables that come "in-between" the season and the activity. ... but these matters aren't really about statistics per se, they are about the proper understanding of an exact research question and about cause and effect and similar matters. So the types of questions you're asking really aren't about statistics or spss and therefore you're looking to the wrong place for answers. You need to go back to your thesis advisers for assistance with the research question or go to the appropriate resource for assistance on this critical matter before trying to figure out what to run in a statistical package. Students are usually told to examine prior research as a first step to understand what was done before and what is still left undone/unknown. Doing the last stages (statistical analysis) before the preliminary work is simply a waste of time. It sounds to me like asking the types of questions you're asking on this list is going to do nothing other the result in frustration and confusion for everyone involved. -----Original Message----- From: SPSSX(r) Discussion <[hidden email]> On Behalf Of spssdummy Sent: Wednesday, June 12, 2019 6:50 PM To: [hidden email] Subject: Re: test with multiple independent and dependent variables Thanks! I think you're totally right but I still need to do these kinds of analyses for my research.. If you have a better idea on how to solve this I will be very much open to know that tho:) But just reading more about what the analyses actually mean will not finish my thesis. (I do know what you mean, like there shouldn't be multicollinearity etc. for this model). I still have to research the relationship between season and weather conditions and 5 physical activity variables and I don't know how to do it if I cannot use multiple regression. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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