I suggest alternative terms such as "predictor variable," "factor," (in ANOVA, but the American Psychological Association does not like that use), "grouping variable," "classification variable," "criterion variable," "outcome variable," and "response variable." Hi, Karl -- I'm not sure what you're looking for re incorrect definition of IVs and DVs, but here's what I say: In my intro stats courses, I begin with a discussion of kinds of research as the context in which statistics are used.
I suggest alternative terms such as "predictor variable," "factor," (in ANOVA, but the American Psychological Association does not like that use), "grouping variable," "classification variable," "criterion variable," "outcome variable," and "response variable." Hi, Karl -- I'm not sure what you're looking for re incorrect definition of IVs and DVs, but here's what I say: In my intro stats courses, I begin with a discussion of kinds of research as the context in which statistics are used.I use different names for variables in observational research vs. I tell them that true experiments (or "experiments," so that they won't think there's a difference) are characterized by random assignment of participants to groups and manipulation of the different groups' experiences. I am of the opinion that these terms are frequently used inappropriately.Tags: Essay My Favourite Book Holy QuranGroup Dynamics Research PaperFormal Business Plan ExamplePrepare Business PlanGuidelines In Making A Research PaperIntroduction To Organisational Behaviour EssayPleasure Of College Life EssayBusiness Term PaperBuy A College Essay Online
He was investigating the correlates of a single outcome variable which was treated as continuous.
Among his predictor variables were several categorical variables. holding researchers have told me that if they analyze their data with an independent samples t (where the grouping variable is called the "independent variable"), then "significant" results show that the "independent variable" caused changes in the "dependent variable," but that if they analyze their data with a correlation/regression analysis, then they cannot interpret a significant association as evidence of causation - you know, that old "correlation does not imply causation" bullshit (see Help/).
As its name suggests, an independent variable is one which remains unaffected by other variables.
Alternately known as the predictor variable, explanatory variable, controlled variable.
Then I explain that although many journal articles will not make the distinctions that I make in variable names, my mentor at the University of Oklahoma (Larry Toothaker) and I share about 38 years of experience teaching statistics, and we think it helps students learn the difference between kinds of research studies. the outcome (supposedly) due to the IV Regression: IV might be HS grades ...
Lise De Shea [[email protected]] Generally, in an experiment and/or regression study .... Experiment: IV might be the method of instruction ... that you think has an impact on the DV or College grades ... Not so sure since the reverse is just as logical and BOTH are co-contiguous in time ...It is something that the experimenter observes during an experiment and is influenced by the experiment.It is expected to change in response to some other factors.All of the variables were derived from items on a survey given to students at Florida State. I dummy coded the categorical variables and threw them, along with some continuous predictors, into a multiple regression. On a few occasions I have demonstrated to such persons that the pooled variances independent samples t test is absolutely equivalent to the t used to test the significance of the point biserial r. Of course I show my students that ANOVA is just a dummy coded multiple regression.A week or so after I sent the results to the doctoral student, he wrote back and told me that the dissertation director wanted the categorical predictors analyzed by ANOVA, not by multiple regression (as if there were a difference). Well, believe it or not, the response I got was that if we did the analysis as an ANOVA, then those predictors would be "independent variables" and we could conclude that they CAUSE changes in the "dependent variable." You can imagine my response. I now advise my students that others will tend to use the term "independent variable" with variables that are manipulated rather than observed, or known rather than predicted, or measured earlier in time rather than later (if we predict high school grades from college grades, which variable is "independent?It often is a grouping variable like an IV, but when there are groups, they usually are naturally occurring -- males vs females, alcoholics vs nonalcoholics, etc.I tell them the outcome variable is the criterion variable -- analogous to the DV, it is second in time.In a scientific experiment, the independent variables are controlled or changed whereas the dependent variables tend to be measured and tested.An independent variable is the one that does not rely on anything else and hence can be manipulated, while the dependent shows the effect, of changes made to the independent variable.I ended up telling my client to simply change the phrase "multiple regression" to "ANOVA" to make the director happy. "), or are categorical rather than continuous, or are thought of as causes rather than effects.I explain that the use of the terms "independent variable" and "dependent variable" in nonexperimental research can cause confusion, but confess to doing it myself (but I am trying to stop this bad habit).