interaction

Hi all - I've recently conduct a behavioral experiment with a (2) x 3 x 3 x 2 design. There are 4 categorical independent variable (one being a within factor - the other three between), and 1 categorical/binary dependent variable. I'm interested in 1) finding out the main effects of each...

Hello, I was reading a paper "Sociable and Prosocial Dimensions of Social Competence in Chinese Children: Common and Unique Contributions to Social, Academic, and Psychological Adjustment" by Chen et al 2000 (developmental psychology 36(3)), and was a little unsure how to interpret one of...

I am examining perceived social support and coping in a group of approximately 40 participants (about 20 participants in two groups) who all recieved an intervention to address loss, with data collected at pre (T1), post (T2), one month post (T3), and three months post (T4). I also have...

Hello everyone, I am facing the following problem: I conducted a MANCOVA to investigate whether a control group significantly differs from 2 other experimental groups with regard to 4 different dependent variables. There was a covariate included which was supposed to moderate the relationship...

Dear Forum Members and Statistics Ballers! I am currently trying to model a survival function for entrepreneurs, and would like to specifically test the impact of covariates during certain phases of the endeavor. Simply: Does a Covariate have a stronger or weaker effect during any of the...

Hello, Two things: (1) I will be happy if someone could refer me to a link whether it is explained what an interaction is. (2) I was wondering if it is possible to check for an interaction without doing an anova. I think the anova in spss already spits out whether there is an...

Hi I've just read a paper which uses a 2x2 ANOVA on two between subjects independent variables. Effectively they have Factor A (Yes/No) and Factor B (Yes/No) with different participants in each group. They report that both factors show main effects and that there is also an interaction...

Attention: I have just skimmed an article (Echambadi, R. and Hess, J.d. (2007) Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models, Marketing Science 26 (3), 438-445) which clearly states that the centering of the IVs does not impact the results of a...

Hello everyone! As topic states, I am running a logistic regression with quite a lot of independent variables (23). There are a lot more candidate variables but this is the best model I ended up with. I would like to know if there are any possible interaction/synergy effects among them, but...

Hello! I have a quite simple data pattern but find it hard to test a specific contrast I expected. I have 2 within subjects factors, each with two levels. Let's call them reward (high vs. low) and task pressure (high vs. low), while the dependent variable is performance (see the example GLM...

I am running a mixed effects longitudinal model with linear and quadratic time effects and a continuous outcome. I have a covariate that has a significant interaction with time-squared, so obviously the linear interaction and its main effect are left in the model. When interactions are in the...

Hello, I have a quick question to anyone who might be able to help me! I am running a random-effects multilevel regression model, looking at the effect of Parental Investment scores on children's height. For various reasons, the investment scores have been coded into binary; High and Low. I...

I've spent months studying statistics texts, and I just cannot figure out how to do the following: I've got categories distinguished by some characteristic, say M vs. F, and then each of those categories has been assigned to one of two groups, say the treatment and the control group in an...

Hi, I have what is probably a simple (or self-explanatory question). I used a MANOVA with three DV's, two IV's and about 6 covariates. I found significant effects where I expected them, but I also expected to see a significant interaction between my two IVs. However, when I plot them, it LOOKS...

My analysis includes a between-group factors (condition [control vs. experimental]) and several within-subjects continuous factors (cholesterol, glucose, mass). The within-subjects factors were measured, for both groups, once a month over 5 months. I'm interested in seeing whether there was a...

I'm trying to interpret two significant three-way interactions. I've used hierarchical regression to analyse my data, and I have come up with two significant three-way interactions. My DV is continuous. My IVs are continuous (AAA) and 3 categorical (BBB, CCC, and DDD). This is my model...

marginally significant regression, only interested in significant interaction Hi, I'm looking at my data for a 2x2 design with a dichotomous DV. Specifically, I want to know whether there's an interaction--I don't care about main effects. I ran a logistic regression in Stata (logit) with...

I have used simple slopes to test a two-way interaction in a regression model. However, I get 1-tailed and 2-tailes significance results. It is my understanding (based on some reading) that 1-tailed is used in this situation. But how does one decide that or even explain it? Please help me...

Hi all, I have found a signficant 3 way interaction (X by Y by Z) using MANOVA, but do not have any significant 2 way interactions (X by Z -or- Y by Z) involving relevant factors; is this possible? If so, how? Thanks, Drew

I have a hypothesis that the strength of correlation between two continuous variables will decrease with higher levels of a third variable. To give an applied example of the problem, looking at the correlation between mothers weight and their adult child's weight, I expect the correlation to...