Questions tagged [post-hoc]
"post-hoc" refers to analyses that are decided upon after the data has been collected, as opposed to "a priori".
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How to construct homogeneous subsets table for nonparametric tests?
Does post-hoc for friedman tests or nonparametric testshave like a homogeneous subset table from SPSS? Mean doesn't represent it well so I tried using median but my data was zero-inflated so the most ...
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Is there a method bias when I prefer a specific post-hoc that shows a significance after significance in test of difference in groups?
I'm working to see if a machine does better than a worker in terms measurement (by having a measurement from an expert be the control). So my dataframe contains the Measurement Value, Measuring Device,...
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Pairwise t test (holm correction) with ezANOVA output [migrated]
I'm doing data analysis using R (dyplr).
I'd like to perform post-hoc comparisons using the pairwise.t.test() function in R and the output of the ANOVA I performed with ezANOVA() but I don't know how.
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Can I test for significant difference between samples of a single time series?
I am trying to find a statistically sound way of analyzing my time series data. The data and questions are pretty simple:
Experiment setup
I have an estimate of the rate at which a crustacean consumed ...
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Pairwise comparisons of two multivariate linear models
Currently working on a project that involves looking at aggression rates towards a variety of different objects in six primate species. I've created two linear models:
modelagg <- lm(log(Aggression ...
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What is the best post-hoc test to use after a two-way anova has shown there is only a significant effect when including 0 as a factor level?
I have two factors: A and B, and a response, y.
For factor A I have 3 levels: 300,400,500.
For factor B I have 3 levels: 0.5, 0.6, 0.7.
I carried out an experiment with each combination of these two ...
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R: emtrends pairwise contrast results change when testing slopes against 0 or 1
When performing post-hoc simple slope analysis on my linear mixed effect model in R using emtrends(), I noticed that pairwise slope comparisons showed differences in the significance when I tested all ...
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What post hoc test to use following Fisher's exact test?
I performed Fisher's exact test on a 4*2 table in SPSS, and I got a significant difference (P= 0.010) and I wonder what is the post hoc test to use following that?
Is it the adjusted standardized ...
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What is an appropriate post hoc test after the Friedman test?
I've read several posts related to this, but I'm not sure.
so I'm posting the question in case it's redundant.
I have been conducting an experiment using a within-subject design, comparing three ...
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Significance and confidence intervals from emmeans::contrasts on linear mixed model
I'm trying to understand the results from emmeans::contrast applied to a linear mixed model with continuous covariate (WR) and categorical fixed effect (Condition).
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Post-hoc table in statistics
Please can someone help me interpret what the asterixis mean and how it is statistically different to the groups. I am so confused. I am doing a one way ANOVA looking at the effect of age on physical ...
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Question about post hoc analyses for mixed-effects logistic regression model
I'm sorry for such a silly question, but I would like to ask about post hoc comparisons that I could use to follow up on a significant, although hard to interpret, three-way interaction.
I ran a mixed-...
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Post-hoc test for GAMMs
I am analyzing my data with a generalized additive mixed model (GAMM) with the following structure:
y ~ Var1 + s(Var2) + s(Var3, bs="re")
Var1 is a ...
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Which post hoc test should I choose - Dunn's Test or Mann-Whitney-Wilcoxon? Analysis of 3 groups of physicochemical data
I am working on a scientific paper comparing physicochemical data from the river and two well rows (3 groups of data) - see example picture:
In my study, I want to see if there are statistically ...
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Post Hoc for Significant Chi Square Test
I have applied Chi square test between Gender and Practice of specific norm (4 levels; Daily, Weekly, Monthly, Quarterly) to check the association.
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Multiple regression and post-hoc analysis
Dependent Variable(s): cognitive test
Independent Variable:
Sex (covariate), Age (covariate),
working memory,
long-term memory test,
interaction(working memory: long-term memory)
However, the ...
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Posthoc (planned) comparisons as contrasts between different levels of a regressor, in fitlme (Matlab)
I have participant data for 5 different rating dimensions (A to E), and I have fitted linear mixed-effects models, separately for each rating, with several fixed- and random-effects predictors:
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Multiple testing correction for multiple 2-way anova testings
I run two-way mixed ANOVAs to examine the effect of factorA (between-subject factor: 3 levels) and factorB (within-subject factor: 2 levels) on outcome variables. I then perform simple effect analysis ...
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Which Post-hoc analysis to examine group differences after linear regression model?
I have done a linear regression analysis in R (lm) to predict social unrest. I would now like to do a post hoc analysis to see if my prediction was more accurate for some countries / regions than ...
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Post-hoc tests in analysis of variance
Say we run a 3 (A: A1,A2,A3) x 3 (B: B1,B2,B3) repeated measures ANOVA. A significant p value for factor A, for example, indicates that there is at least one pair (A1-A2,A1-A3,A2-A3) in which the mean ...
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How to Interpret Post Hoc Test Results of Kruskal-Wallis Test?
I have performed a Kruskal-Wallis test to assess the difference in disease severity (recorded on a scale of 0-10) among different months. Here's the code I used:
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How do I explore of the feasibility of using difference in days spent at home to assess outcomes after surgery?
I have done a observational study testing a hypothesis something like this "Days alive and out of hospital for one year after surgery is more than one year before surgery". My data looks ...
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Multiple group comparisons in a linear mixed-effect model
[The background]
I have a category variable called group, which has five levels indicating the types of populations (g1, ...
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Choosing the best and more useful method in RCT psychology studies
I'm not sure had anyone open this question but I'd like to your opinions. When we compare two groups(control&treatment) measured at pre,post and a follow up procedure, which is the most useful ...
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How to do the post-hoc analysis for three predictors (two factor variables and one numeric variable)
I'm using a linear mixed effects model to analyze the reaction time of learners of English as a Second Language (ESL). I have two factor variables: grammaticality (grammatical v.s. ungrammatical) and ...
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posthoc paired t test
Is there a website with a calculator to input 2 sets of data to perform the post paired t test adjusted with the Bonferroni correction? Or is anyone available to hire?
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Running the same mixed model with different contrasts to explore different hypotheses
I'm running the following mixed model to explore the relationship between Condition (3 levels; Predicted, ...
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Is it possible to conduct post hoc eventhough there is no significant interation between the levels of factors in lmer results?
I want to conduct a statictical analysis on reation times(dependent) between two groups of people.
suppose the factors are: A, B, group
Is it possible for me to conducting a posthoc test(by using ...
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Which statistical test - which sample is driving differences
I'm assessing whether the relative abundance of bacterial communities are different across two treatments.
I have a control (n=3), a food compost treatment (n=3) and a biosolid compost treatment (n=3) ...
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Wilcoxon test for two groups or post hoc analysis of K-W test when I woud like to compare two groups and observe the difference?
I am working on data analysis. I divided my samples into five different groups (group A-E) by using some variables. and then, because group A can be further reclassified into group A+ and group A- and ...
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Subgroup analysis: post hoc test interpretation
I am modeling treatment effect in a hypothetical case where only a subset of the sample has disease-related impairment on the outcome of interest. I only expect treatment effects in this subset, but ...
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Mixed effects Model in Prism versus lmer in R - Post-Hoc testing
I am a beginner R user and admittedly only have relatively basic statistics knowledge. But I am keen to learn
I have a patient data set in 2 groups (n = 50; group 1, n = 35, group 2, n = 15), who were ...
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How to determine if my model is robust? Should the coefficients be same?
I want to run robustness tests for my model. For example, by reducing the sample to heavily concentrated groups, running a different regression (probit etc) etc. But, how do I ascertain that my ...
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Repeated Measures ANOVA, 3x5 Design (3 Between-Subject Factor, 5 Within-Subject Factor
We did research on prospective memory.
We created a 3x5 mixed design where we had three different groups (= Z-Group, ProM-Group, ControlGroup) doing something at 5 different timepoints (= within-...
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post-hoc analysis for logistic regression?
Suppose our dependent variable Y is TRUE vs FALSE, and our independent variable X is GREEN, YELLOW, and RED. We performed a logistic regression of Y~X. I wonder if it is possible and how to use the ...
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Can I test blocking effect in non parametric test
I have two replicates (tanks) for 4 treatments (hyperthermia, hypoxia, combined hyperthermia and hypoxia, and control), with 10 randomly assigned organisms for each tank. The response variable is non-...
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When can I ignore endogeneity problem?
Technically, endogeneity occurs when a predictor variable (x) in a
regression model is correlated with the error term (e) in the model.
This can occur under a variety of conditions, but two cases are
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Is post-hoc power analysis redundant too in the case of a *significant* result? [duplicate]
I've read that post-hoc power analysis is useless when the result of a test is statistically insignificant, which I understand (post-hoc power analysis is just circular logic in this scenario). But ...
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Proper post-hoc tests (following ANOVA) to test out within/between subject differences
just as a disclaimer, the following questions may be quite basic but I somehow cannot wrap my head around which way to analyse data as there are different tests that do almost the "same" but ...
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Comparing emmeans values multinom model
I am performing quite some binomial/multinomial models for my thesis. After doing the emmeans statement, I used the contrast statement to compare the emmeans of the different groups. But, I ...
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What post-hoc steps to take after nonparametric MANOVA with binary dependent outcome variables?
I am conducting a nonparametric MANOVA to see the effect of Group on each of the four binary response variables (DV1, DV2, DV3, DV4) after controlling for a covariate Cov1 (One-way MANCOVA) using ...
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Multiple comparisons testing for multiple post hoc tests
I'm about to run two ANOVA tests between 3 groups (A, B, C), one test is on dependent variable X, and one test is on dependent variable Y. Of course after I finish the ANOVA test on either X or Y, I ...
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What are the option for a post-hoc test after running a multinomial model?
Currently, I am trying to run the multinomial model Age = Gender to investigate the effect of Gender on the probability that my study animal belongs to a particular age class. I am not necessarily ...
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How to get the group differences after Bonferroni correction in multiple comparison?
After an ANOVA in R, do you know if it is possible to get the group differences using Bonferroni correction ?
If I use the iris dataset
...
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Is it ok to run post hoc comparisons if ANOVA is nearly significant?
I ran ANOVA with dependent variable IQ, independent variable field of study (3 groups: science, humanities, business), and two covariates (age and sex). I see that my result is not quite significant, ...
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Calculating effect sizes for individual post hoc comparisons in ANCOVA
I ran ANCOVA with dependent variable IQ, independent variable field of study (3 groups: science, humanities, business), and two covariates (age and sex). I see that my result is significant (i.e., ...
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One-way ANOVA F-test is significant but none of the Tukey pairwise test is significant
I made up this example myself: Three geoscientists from China, USA and Europe were interested in exploring the mineralogical and textural characteristics and organic carbon composition of carbonate ...
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I ran a regression analysis with an interaction, and I want to compare the beta coefficients across the levels of my categorical variable
I have a regression I ran with a continuous dependent variable (CSI), and independent continuous variable (ACI) and a categorical variable with 4 levels (Relationship_Type):
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336
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Reporting post-hoc test with letters (two way anova)
i am testing soil chemistry in soil that has been samples in fields subjected grazing. So two levels ( grazing treatment and soil depth).
I have used a two-way ANOVA after testing for normalisation ...
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How to show that the effect of one variable on the outcome is larger in one condition than the other?
I have the following lmer model:
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