All Questions
3,928 questions
0
votes
1
answer
16
views
SPSS: related-samples friedman's two-way analysis of variance by ranks extra bar in graph [closed]
I'm new here, and somewhat of a lay-user in terms of statistics, and hoping this question will be at the appropriate place.
I'm running the mentioned analysis in SPSS on 3 iterations of an experiment ...
- 3
1
vote
2
answers
30
views
Should I conduct a multilevel for this or another analysis? Need help
I have three sources of data (teachers, parents and students) assessing students, in three waves. I want to assess all and see the differences between moments but then I also want to use variables for ...
-1
votes
0
answers
8
views
what happens when a network has low closeness centrality - what happens to nodes on the periphery [closed]
I have thirty-nine nodes with closeness centrality scores but I do not know what to say about the nodes on the periphery who do not have scores.
3
votes
1
answer
46
views
Calculate marginal effects for random effects model with two crossed random effects
I am trying to get effects marginal of two crossed random effects (using STAN or brms). I understand how to do it for a single random effect following McElreath's book and Kurtz's brms version of the ...
0
votes
0
answers
56
views
Alternative to Loglinear Analysis when Assumption are violated [closed]
I conducted a log linear analysis on a dataset where i have 3 categorical columns to compare so i can see if there is an effect of on others or a combination of two ....
the description is here :
...
- 11
4
votes
2
answers
41
views
Accounting for non-independence and autocorrelation in HGAM
I am currently trying to fit a HGAM to model differences in daily activity patterns of fish in two treatments. Data were collected with high-resolution telemetry, and I currently have estimates of ...
- 105
0
votes
1
answer
17
views
Looking for appropriate model to run on SPSS while accounting for multiple measurements on same subject
I have two groups (Group A and Group B) that have different baseline characteristics. All subjects go through 5 different weights (twice each) and an outcome variable is measured. The table below ...
0
votes
0
answers
22
views
Derive gamma-parameters from preset R^2 in mixed models
For a simulation study in R, I want to select the effect sizes according to a preset $R^2$.
Consider this two level random intercept mixed model, with one L1 predictor $X_{ij}$ and one L2 predictor $...
- 153
0
votes
0
answers
6
views
Analysis of GBS before and after COVID-19 while adjusting for confounding variables
I am new to statistics and would appreciate the help! I am using SPSS and am working on a project where I want to analyze the impact of COVID-19 on Group B Streptococcus (GBS). I therefore have 4 ...
- 1
0
votes
0
answers
9
views
Extracting individual level posterior class memebership probabilities in multilevel LCA
I am conducting a multilevel laten class analysis using the R package multilevLCA.
I have fitted the model using multiple steps (i.e. determining optimal number of classes as well as clusters). I now ...
- 1
6
votes
1
answer
125
views
Is there a way to forecast by subgroup without forecasting each subgroup separately?
I am trying to find an appropriate model to forecast the number of applications received at the end of a recruitment cycle based on previous recruitment cycles and the number of applications received ...
1
vote
0
answers
48
views
Opposite results using Bayesian (STAN) vs Multilevel model (nlme). How is this possible?
My datasets contains the median wages and the cumulative installed wind-capacity for 4000 counties over a period of 20 years. The wages tend to rise over the period and the capacity tends to highly ...
- 11
0
votes
0
answers
18
views
How to Forecast Sales for Sub-Locations Without Historical Proportion Data?
I have a time series dataset of total sales for a product in a store over time. This product is available in two different locations within the store: one stand near the checkout and another stand in ...
0
votes
0
answers
24
views
Multilevel Model in R
I have data from a study in which 19 participants (9 males, 10 females) have each completed 4 jumping conditions (BW, 20, 25, 30) whilst I have measured joint level data for the hip, knee and ankle. I ...
- 1
0
votes
1
answer
42
views
CWC(M) in multilevel modeling
I am new to multilevel modeling and recently learned about CWC(M) by Zhang et al. (2009, https://journals.sagepub.com/doi/abs/10.1177/1094428108327450). I am running a multitlevel moderated mediation ...
- 1
0
votes
0
answers
12
views
mice multilevel imputation: does specifying cluster variable ("-2" in predictor Matrix) without multilevel methods lead to cluster robust imputation?
In short: Are mice's imputations cluster robust when I only specify the cluster variable with "-2" in the predictor matrix but do not use multilevel models during imputation?
For clustered ...
- 1
1
vote
0
answers
57
views
What would be the best way to retain or impute data containing willing OR not willing to answer?
I want to impute missing data in a survey.
In my dataset, participants could choose not to answer certain personal questions (e.g., age, family background), leading to both intentionally missing and ...
- 11
2
votes
1
answer
48
views
Why factor scores correlated with variables do not equal loadings?
I am trying to understand the following:
I have three variables (x1, x2, x3) on which I did PCA and EFA (principal axis factoring) in SPSS to get one component/factor.
If I do PCA and I calculate ...
- 41
4
votes
1
answer
45
views
How to Simulate a Multilevel Predictor Variable with Both L1 and L2 Variance Components?
I'm working on simulating multilevel data where I have a predictor variable measured at Level 1 (L1), which has both L1 and L2 variance components. For example, I want to simulate a socio-economic ...
- 153
2
votes
1
answer
35
views
Reporting Hierarchical Regression Results in Abstract
I did a hierarchical regression test in a social science study looking at how two variables (A and B) and their interaction term can predict variable C. My mentor told me to write in the abstract that ...
- 21
5
votes
2
answers
322
views
Should i recode data because of a difference in directionality of scales?
I have a dataset containing roughly 2500 respondents, with 63 variables. They are mostly responses to questionnaire questions.
However, for example, one of the questions is "How often do you get ...
- 53
0
votes
1
answer
33
views
Mediation models require a sigma matrix that is symmetric
I'm trying to fit the following reproducible mediation model called final. But I get an error saying:
sigma must be a symmetric matrix
Could you please advise how ...
- 397
2
votes
0
answers
16
views
Which estimator to choose for meta-analysis^ REML or CR2 with Wild Bootstrap?
I am following the following book: https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/multilevel-ma.html
I can't choose which estimator to choose: REML or CR2 with Wild Bootstrap.
Or maybe ...
- 21
3
votes
1
answer
61
views
How can we simulate correlated random variables that vary at different levels in a multilevel/mixed effects setting?
I am very familiar with generating correlated random variables from a multivariate normal distribution.
This question is about doing that in a multilevel setting, where variables only vary at ...
- 65.8k
2
votes
1
answer
78
views
General formula for mixed models
I'm trying to wrap my head around the general formula of mixed models and how it relates to the system of equations I'm used to.
The general formula read like this:
$$\mathbf{Y_{j}}=\mathbf{X_{j} \...
- 153
4
votes
1
answer
39
views
Outcome in mixed models - lower level or upper level?
I am learning about mixed models and I have a question regarding the outcomes that can be considered. If I have hierarchical data, do the outcomes that I can consider need to belong to the lower level?...
- 43
8
votes
1
answer
471
views
Power analysis for three-level multilevel models in R
For a study in a social science setting - where huge number of participants are not easily available - I'm trying to do a power analysis for a three-level multilevel design.
There are few packages ...
- 153
1
vote
0
answers
19
views
modelling overdispersed binomial data using generalised linear models
I've run a series of tests where each test involves answering 10 questions which are scored correct/wrong, and there are roughly 36 participants per test divided more or less evenly into 3 treatment ...
1
vote
0
answers
15
views
How to Set Up a Polynomial Multilevel Model
I have a modeling situation that I am not 100% sure how to approach. I have two independent variables, information and time, with time being a repeated measure. The dependent measure is difference. ...
- 11
1
vote
1
answer
56
views
Multi-level modelling?
In an instructional study, I have pretest and post-test measures of writing quality--no control condition. There are 110 students nested in 10 classes. I have pretest measures of spelling skill and ...
- 13
1
vote
0
answers
62
views
Prediction Intervals With Hierarchical Regression Model
I'm reading this data analysis book by Gelman and Hill and am trying to understand predictions with hierarchical models. On page 273 they are demonstrating making new predictions for an already ...
- 133
0
votes
1
answer
102
views
Linear mixed-effect model analysis via python
I want to perform linear mixed-effect analyses for my research. I am trying to understand and compare the effect of 3 different intervention models on the outcome. I have 2 measures for the outcome, ...
1
vote
0
answers
56
views
Error in lmerTest: The random-effects parameters and the residual variance (or scale parameter) are probably unidentifiable
I know that there have been similar questions before, but I dont still get it.
I would like to estimate a multilevel model with repeated measures in R using the package “lmerTest”. The model ...
- 11
2
votes
0
answers
19
views
Hierarchical models where the hierarchy structure depends on a latent variable
I am having trouble formulating a hierarchical model for the purpose of Bayesian inference in the case where the actual hierarchical structure depends on a latent variable. I am wondering if this is ...
- 131
2
votes
0
answers
39
views
Can I Perform a Micro Synthetic Control Analysis with Different Aggregation Levels for Treatment and Control Groups?
I am conducting an analysis using the microsynth package in R to evaluate the impact of increased police presence on various outcome measures obtained from an official survey. My treatment areas ...
- 121
0
votes
0
answers
11
views
Fitting nonlinear Bayesian regression with a summation term in brms
I'm trying to fit parameters for a Holling type II curve for multiple prey items. This takes the form:
$$
\frac{dP_i}{dt} = \frac{a_iP_i}{1 +\sum_j{a_jh_jP_j}}
$$
where $P_i$ is density of prey ...
- 358
0
votes
0
answers
37
views
Categories automatically dropped in SPSS for my logistic regression [duplicate]
I have a problem with my logistic regression model. I use SPSS for analyzing the relationship between some categorical IV/2 numerical variables and customer churn (the well-known IBM Telco dataset). I ...
- 1
1
vote
1
answer
26
views
Setting predictor variables with 3-levels in multilevel mode
I am working with a random intercept multilevel modeling.
I want to predict general health based on survey data. The survey uses nested data set on three levels: individual, county, and state.
I am ...
- 183
3
votes
1
answer
48
views
Mixed Model: Translation from mathematical notation to R's lmer() - package: lmerTest
The following data should be generated and fitted to a mixed model (for further simulation studies):
$y$: outcome of clinical study (effect of medication)
indiv individuals = 20
repl replicate ...
- 95
1
vote
2
answers
35
views
About adding random effects in Multilevel (HLM) analysis
I am doing regression analysis in HLM. I am wondering whether random effects should be added in this process.
Let me ask a question using a famous example. LV1 is a student and LV2 is a school. LV1 ...
2
votes
1
answer
35
views
Experimental condition with multilevel model
I am working with a survey experiment. The data is set at three levels: individual, county, and state.
The experimental condition was randomized at the individual level 1. That is, some individuals in ...
- 183
0
votes
0
answers
63
views
non-negative constraints and interactions in the ensemble model
In the context of prediction problems using regression models, suppose I have $K$ different models all trained (fitted) on the same targets (observations). These models are different - low correlation ...
- 1
0
votes
1
answer
31
views
Discrepancy in manually calculated Kendall's tau-b vs SPSS output
stats enthusiasts!
I'm having trouble with a manual calculation of Kendall's tau-b. My result differs from the SPSS output, and I can't figure out where I went wrong. Here's my process:
I'm analyzing ...
- 1
0
votes
0
answers
28
views
How should i correct my classification table in logistic regression? [duplicate]
The omnibus tests of model coefficients show that the model is significant. However, the classification table under Block 1 shows the same ratio of observed to predicted values as Block 0. Does this ...
- 1
0
votes
0
answers
25
views
3-level clustering in Multilevel Latent Class Analysis of distal outcomes
I am investigating the relationship between latent classes of student experiences (also aggregated on the school level) and student achievement based on the PISA data (cross-sectional, continuous ‘...
1
vote
1
answer
32
views
Propagating measurement uncertainty with posterior predictions as data in another model
I'm working on a modeling approach that incorporated estimates of measurement uncertainty trying to use brms in R. I'm working from the example in chapter 14 of ...
- 358
0
votes
1
answer
34
views
Can I do weighting on continuous variables?
I have two datasets collected in 2018 and 2023. I was going to check if there's any difference between the two datasets, but the ratio of sex and family size was different from each other (...
- 1
1
vote
0
answers
38
views
Multilevel model where skew of random effect depends on an independent variable
I am trying to construct a model where the skew of the distribution of a random effect changes with an independent variable. I'd eventually like to fit this using ...
- 358
4
votes
1
answer
33
views
Mixed model (random effects) vs pooled OLS with clustered SE
I have a dataset of country-years. I want to find out whether membership in a particular group, say, EU, has an effect on an outcome, say, GDP.
In my initial model, I estimated a pooled OLS model with ...
- 41
0
votes
1
answer
35
views
Hierarchical logistic regression interaction
looking for some guidance on analyses.
I'm running hierarchical logistic regression models with a cross-level interaction, x and z (both variables are continuous).
Even though the interaction is not ...
