Questions tagged [control-group]
In a comparative experiment a control group is one which does not receive the active treatment
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How to handle dependent effect sizes in meta-analysis with a single control group?
I am conducting a meta-analysis and need advice on extracting effect sizes from studies where multiple treatment groups are compared to a single control group. Specifically, I am dealing with standard ...
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Dunnett's test for comparisons with Control - how to conduct ANOVA for 2 factors, as well as adjusting for different experimental designs?
From what I understand, before we conduct Dunnett's test for comparisons of treatments to a Control, we have to do ANOVA. However, for a 2-factor experiment, there seem to be a lot of problems to me.
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Effect size calculation (with CI) for proportions with a 2-arm pre-post design (i.e. experimental and control group)
I've been trying to find how to work out the effect size of an intervention that has only provided information on the proportion of participants who reported they had increased 'knowledge' after the ...
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Difference-in-difference age groups
I would appreciate your help with a question I have.
I'm creating a Difference-in-Difference study to examine how a conditional cash transfer to individuals 18 years of age to be spent in sport ...
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Binomial test to establish a pass criterion
I'm sorry for the following -probably- stupid question.
I'm performing a psychological experiment and I have no idea about how to establish how many control items one has to pass to be included. My ...
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Performing a Difference-in-Difference Analysis where the Control Group is Already Treated
I'm involved in a project where the outcome is the proportion of cancer patients who have received surgery. The treatment event is a state-level policy change that mandated moving all these cancer ...
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Is mutual exclusivity important for an A/B test for an audience selection method?
Say I want to measure whether a set of business rules is better than random at identifying customers most likely to respond to an email. The steps are:
Take the entire population of 200 people and ...
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Propensity score matching for differently sized control and treatment groups
I would like to use propensity score matching to construct a post hoc control group to accompany a pre-determined treatment group.
Some literature I am seeing says that I should pairwise match sample ...
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RCT with repeated measures help [closed]
I may be overthinking this and going down too many rabbit holes of possibilities, but can someone please help me figure out the appropriate ("best") method to use for this research project?? ...
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Baffled by Rubin's Potential Outcomes RE: What Would Have Happened?
Background
Seeking a clear and authoritative explanation of a key concept of Rubin's Potential Outcomes Framework that is causing this hapless OP enormous grief. While the necessity to distinguish ...
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Repeated measures - sort of?
I do mostly econometrics but am faced with a repeated measures type sample. I can solve it as a regression with dummies, but feel like I'm losing information in the repeated cases. I know the medical ...
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Anova with a specific reference group? Dunnett's test overall p-value?
I have been trying to work through this idea for a few days now, and I think I am just really confusing myself at this point so thought I could hopefully get some help.
The basic idea is, I have 1 ...
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Appropriate statistical test to determine if uplift between control group and multiple test groups is significant (pretest/posttest evaluation)
I'm trying to evaluate whether the difference in uplift seen in below table between the test groups and the control group is statistically significant. I'm unsure about the appropriate statistical ...
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DiD control treatment group choice
I need to evaluate the impact of the Labour-Intensive Public Works programme on social cohesion using DiD. I chose a set of control variables and an outcome variable. The thing is to choose the right ...
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How to analyze a 4x2 design with an additional control condition?
I have a somewhat unusual study setup, for which I'm not sure how to analyze it properly. Basically, I have a 4x2 factorial design which assigns users to a condition A (4 levels) and at the same time ...
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