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I have data with continuous dependent variable (no of teeth) my independent variables are categorical and continuous. But I want to analyze using regression analysis. what should I use. kindly help. Regards, Dr. S.Samuel Raj, Associate Professor, |
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Consider examining the following websites for some guidance: and However, you will probably need to read some additional sources to develop a better understanding of the situation you are dealing with. Consider the following: <a href="https://books.google.com/books?id=LcWLUyXcmnkC&pg=PA116&dq=%27multiple+regression%22+%22categorical+and+continuous+predictors%22&hl=en&newbks=1&newbks_redir=0&sa=X&ved=2ahUKEwjCufrL3d3mAhWJnOAKHUtCCZUQ6AEwAnoECAEQAg#v=onepage&q='multiple%20regression%22%20%22categorical%20and%20continuous%20predictors%22&f=false">https://books.google.com/books?id=LcWLUyXcmnkC&pg=PA116&dq=%27multiple+regression%22+%22categorical+and+continuous+predictors%22&hl=en&newbks=1&newbks_redir=0&sa=X&ved=2ahUKEwjCufrL3d3mAhWJnOAKHUtCCZUQ6AEwAnoECAEQAg#v=onepage&q='multiple%20regression%22%20%22categorical%20and%20continuous%20predictors%22&f=false and I am sure that others can provide additional suggestions. -Mike Palij (still around, sort of) New York University On Mon, Dec 30, 2019 at 10:37 AM samuel raj srinivasan <[hidden email]> wrote:
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I would suggest that if you are aiming for a publication quality article, that you enlist a statistician as a consultant or coauthor who can look over your shoulder rather than relying on remote resources. Lots of things can go wrong. On Mon, Dec 30, 2019 at 9:01 AM Michael Palij <[hidden email]> wrote:
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Jon provides good advice and I support getting such assistance. However, I assumed (perhaps erroneously) that a statistical consultant or colleague was not available or there was no money or other incentives to compensate for their time and effort.There could be other reasons why such assistance may not be available. Nonetheless, even if one does take on the material by oneself, it doesn't hurt to have someone to review what one is doing (i.e., helping to avoid making disastrous errors). -Mike Palij New York University On Mon, Dec 30, 2019 at 11:48 AM Jon Peck <[hidden email]> wrote:
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In reply to this post by samuelsr
I see answers about resources. I will add that "analysis of variance"
is a general term, and least-squares regression is a general model
that can exactly perform "ANOVA" models - I remember when the
SPSS manual ANOVA described its ANOVA as "ANOVA by regression
methods." So, Why do you prefer "regression"?
Using all capital letters, "ANOVA" refers to models that are presented
with categorical variables handled in a very convenient way for
presentation and discussion. You have the options in ANOVA of
several ways of testing "covariates." What SPSS regression adds is
the ability to code your own contrasts and the need to code dummy-
contrasts for categorical variables; and the ability to explicitly test
the contribution of adding specific sets of variables.
you might want to take into account the /maximum/ count and how
many have been /lost/; or, perhaps, the explicit count of how many
are missing for particular reasons. (I think of "knocked out" and
"losses from tooth/gum disease" versus "molars removed for lack of
room" and "never came in".)
--
Rich Ulrich
From: SPSSX(r) Discussion <[hidden email]> on behalf of samuel raj srinivasan <[hidden email]>
Sent: Monday, December 30, 2019 10:37 AM To: [hidden email] <[hidden email]> Subject: help I have data with continuous dependent variable (no of teeth)
my independent variables are categorical and continuous. But I want to analyze using regression analysis. what should I use. kindly help.
Regards,
Dr. S.Samuel Raj,
Associate Professor, |
Administrator
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As Rich suggests, number of teeth is a discrete count variable, not a
continuous variable. So you might want to consider using a count regression model (e.g., Poisson or negative binomial). https://stats.idre.ucla.edu/spss/dae/poisson-regression/ https://stats.idre.ucla.edu/spss/output/poisson-regression/ https://stats.idre.ucla.edu/spss/dae/negative-binomial-regression/ HTH. Rich Ulrich wrote > --- snip --- > > Also, as to "teeth" in particular: If you are referring to human teeth, > you might want to take into account the /maximum/ count and how > many have been /lost/; or, perhaps, the explicit count of how many > are missing for particular reasons. (I think of "knocked out" and > "losses from tooth/gum disease" versus "molars removed for lack of > room" and "never came in".) > > -- > Rich Ulrich > > ________________________________ > From: SPSSX(r) Discussion < > SPSSX-L@.UGA > > on behalf of samuel raj srinivasan < > samuelrajsrinivasan@ > > > Sent: Monday, December 30, 2019 10:37 AM > To: > SPSSX-L@.UGA > < > SPSSX-L@.UGA > > > Subject: help > > I have data with continuous dependent variable (no of teeth) > > my independent variables are categorical and continuous. But I want to > analyze using regression analysis. what should I use. kindly help. > > > Regards, > Dr. S.Samuel Raj, > Associate Professor, > Department of Public Health Dentistry > Saveetha Dental College > Chennai, Tamil Nadu, India > > Ph- 91- 7010395428 > https://orcid.org/0000-0002-7344-4476 > https://www.researchgate.net/profile/Srinivasan_Samuel > > > > > ===================== To manage your subscription to SPSSX-L, send a > message to > LISTSERV@.UGA > <mailto: > LISTSERV@.UGA > > (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 > LISTSERV@.UGA > (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 ----- -- Bruce Weaver [hidden email] http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." NOTE: My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. -- 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
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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