interaction

Hi, I am stuggling to find the right words for the statistical terms I would like to look up. Hope, you can help :-) I am looking at a higher order construct (organizational climate), which manifests in eight dimensions. I am interested in elaborating how these dimensions interact and what...

Hi everyone, I have got a question regarding the specification of interaction effects in panel regressions (fixed effects within estimators). I would like to know: Can I create an interaction-term between a time-varying and a time-invariant variable? Some background: My data is from...

I have run a forum search and an internet search, and tried posting this question on other forums, but have been unable to find an answer to my specific problem. My question concerns interpretation of simple slopes generated from moderation analysis. I have conducted a moderation analysis as...

I am trying to check if the relationship between X and Y is a moderated by M. Model is: Y = X + XX + M + XM + XXM X - independable, M - moderator, Y - dependable. Variables are continuous and normal. First I multiply, then center the variables (I hope it is right). Then run reggresion...

Hello! Thank you for reading and a big thank you if you can help. My goal is to successfully run this type of model in R. I know how to set up the dataset and interpret the results using HLM (the program) but I am completely lost when trying to get it into R. Screenshot of the model is...

i am using a fixed effects model with log of wage as the dependent variable when i try xi: xtreg logwage i.d08##c.yrschool exp2 married, i(id) fe where i.d08##c.yrschool is an interaction term with d08 being a dummy for the year 2008 and yrschool being a continuous variable for years of...

I have to run this regression: Y (t) = a + b1 X (t-1) + b2 Y (t-1) + b3 X (t-1)*Y (t-1) Y at time "t" is regressed using as IVs X at time t-1, Y at time t-1 (lagged dependent variable) and the Interaction of X at t-1 and Y at t-1. Both X and Y are continuous variables. I need to center...

Hi Experts, I have conducted a 2 (time: before, after) x 3 (condition 1 2 3) mixed ANOVA. The within X between interaction is only marginally significant .06. However, simple effects indicate significant change in conditions 1 and 2. The interaction indicates if change over time is a...

I am performing a "dry run" statistical analysis on my dissertation data pretest, and I'm looking for a little guidance regarding the specific analyses I need to perform. I have three primary variables: Environment. Categorical, 1 of 3 conditions. Independent, assigned by experimenter...

I'm wondering about this, and I can't find an answer anywhere. My textbook (Agresti and Finlay 2009) clearly says how to do backwards elimination on a linear model, but I'm sitting in a situation my textbook doesn't explain. Neither was I able to find anything on Google or this forum, about this...

I am new to this site, but have high hopes that I can find some relief. I have a question regarding entering interaction terms (moderation) in SPSS. Is there a conceptual difference between entering interaction terms and main effects via direct entry (at the same time) vs hierarchically (in...

Hello! I'm taking a regression course this semester and I have a question regarding when to drop the interaction terms. Suppose we have a regression model like this: Y = a + b1*X1 + b2*X2 + b3*X3 + b4*X1_X3 + b5*X2_X3 where Y is the response variable (say, the outcome of a disease), X1 and...

Given a set of predictor variables, are there any ways to test interaction terms? If I test one by one, it will be impossible to do it?

If I am running multiple regression in r, what is the next step in order to get the effect size for all variables when there's also an interaction term in the equation. For example: model=lm(DV ~ Var1 + Var2 + Var2:Var3) Also, what's the best way to determine whether or not to do an...

Biomedical researcher here, trying to figure out how to analyze the results of a study on cell culture conditions. Three IVs were chosen: compound A (2 levels), compound B (3 levels), and compound C (4 levels). Cells were grown in microplate wells, 4 wells for each of the 24 permutations of the...

Hello all, I need help analyzing some data for a moderation analysis. I have a continuous variable (predictor), Exhaustion, a continuous outcome, "Social Loafing" (coded 1, work alone, 2, work in a pair, or 3, work in a group--it's really an ordinal variable), and a continuous variable...

Hi, So I had a 2(analytical task, control task) by 2(rating: confidence, liking) design that I incorrectly put into a One-way ANOVA with planned contrasts, i.e. I made it 4 conditions. The results indicated that my when rating confidence, the analytical task did significantly worse than the...

Statistics people! I have two questions for you. I am NOT a statistician so please be nice and answer simply :) Background: We are looking at parental leave in Iceland. We are particularly interested in whether the economic crisis and the resulting changes in parental leave legislation...

I have to analyze this variable which consists of scores given to 3 items (1-9 scale). This "likert scale" measures "brand commitment" if thats important. 1) Firstly, should I compute 1 new variable that combines the 3 statements (they measure the same latent construct) in order to make it...

0 down vote favorite I have to analyze this variable which consists of scores given to 3 items (1-9 scale). This "likert scale" measures "brand commitment" if thats important. 1) Firstly, should I compute 1 new variable that combines the 3 statements (they measure the same latent...