Questions tagged [dyadic-data]
Dyadic data are characterized by a dual or directed relationships between individuals, such as friendship relations in a social network, import and export relations between countries, or migration flows between regions.
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How to specify dyad and subject ID random factors in an MCMC model in R?
I am working on a model to analyze a categorical outcome variable (7 categories) for a design with two fixed factors (Condition and Group) as well as the random factors of Subject ID nested in Dyad ID....
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How to model the true effect of a difference score, minus rater bias
I have a dataset of measurements from pairs of conversation partners. Each individual in the sample took part in multiple conversations. For each conversation, I'd like to know how much the difference ...
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Actor-Partner-Interdependence-Model for longitudinal data (L-APIM) analysis for data with different number of intervention and no fixed interval
A friend recommended Stackexchange since I haven't found a suitable answer.
I am currently trying to prepare my analysis of an Actor-Partner-Interdependence-Model for longitudinal data (L-APIM) with ...
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How to handle more than 1 categorical variable per row when training a model
I am trying to predict the winner of an NBA game. Roughly, this is what I want my dataset to look like:
30 columns, one column dedicated to each NBA team. These are the categorical variables. For a ...
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Repeated measures dyadic data with lme4
I want to analyze data from an experiment where participant’s performed a task sitting next to each other. Each participant is assigned to only one dyad. Both participant's performance (dv, continuous)...
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Interpretation of interaction coefficient in PPML with fixed effects
I am estimating a gravity model aiming at evaluating how environmental policies can affect trade patterns. I am using a ppml model using the ppmlhdfe command in Stata.
As identification strategy, I ...
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Why isnt "Time" treated as a level in multilevel longitudinal model?
I am conducting a longitudinal dyadic analysis and I thought it is appropriate to treat time clustered within persons, and persons clustered within couples? In David Kenny's book, he mentioned that ...
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Performing power analysis with clustered standard errors, interaction effects, and covariates using pilot data
Let's say I run an experiment where participants play a behavioral game with someone that is either their same gender, or not their own gender. The primary criteria of interest is a pre and post ...
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Using indistinguishable subjects as predictors/random effects
I would like to model data where the outcomes are produced, jointly, by a pair of indistinguishable subjects. As an example[*], consider the length of two-participant conversations. These data have ...
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Missing data imputation
I'm working on a public procurement dataset where I have information on all the participants that presented offers in 358 tenders. I'm analysing relationships between all the companies of the dataset (...
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Gravity equation: Is it always appropriate to use ppml?
I am interested in estimating countries' comparative advantage. Following
Costinot et al. (2012) which is a
many-sector version of Eaton and Kortum I have the following theoretical relationship
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How to isolate price effect in time series?
Here is what I have:
Excel
Yearly energy prices by state from 2002 (generally increasing, generally peaked a couple of years ago)
Yearly energy consumption by state by industry from 2008 (about 700 ...
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Proving that paired time series are (not) correlated
I've got a dataset comprised of a bunch of "paired" time series, where the data in each part of the "pair" are dependent on each other, but I'm actually concerned with (dis)proving that the two time ...
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How to calculate confidence interval for intraclass correlation
I am running an intraclass correlation to test for non-independence of the responses of individuals in dyads. I am running the intraclass correlation, as recommended by Kenny, Kashy, and Cook in ...
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Is My Data MNAR (Missing not at Random)?
I have a dataset that looks at asylum rates for asylum-seekers (refugee status). The data is broken down by country of origin and the host state (where they apply for asylum. I have been reading up ...
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How to estimate a spatial weight matrix empirically?
Let $y$ be an n-vector of observations on the dependent variable and $X$ be the $n \times k$ design matrix with observations for $n$ units on $k$ variables. I aim to estimate a time-series cross-...
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APIM analyses of dyadic data: comparing HLM/MLM to SEM results, data structures, SAS Proc Mixed vs. Mplus and more!
I have run a set of dyadic analyses (distinguishable dyads: mom, infant) using both an SEM panel approach, as well as via an MLM/HLM approach using Mplus. In short, while there are subtle differences ...
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Unbalanced dyadic design (multilevel model)
I study the physiological linkage between patients and doctors. I have 100 patients and only 15 doctors. The aim of my research is to examine the physiological concordance between physician's heart ...
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Weighting Dyads
I am currently working on a project on the causes of war. The data set I use includes cases of both civil and international wars. I intend to include both types of war in the analysis, but I believe ...
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Multiple impute multilevel data and postestimation tests
I want to do the following three things but am not sure how/whether they can be done:
multiple impute multilevel data. I would be ok with just accounting for clusters, but I need to somehow account ...
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Using personality to predict conflict via ERGMs
I am using ERGMs to test how different personality variables lead to conflict connections among group members. Specifically, I am assessing if differences in extraversion (Big Five) among team-member ...
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Comparing two sets of limits of agreement (continuous outcome) - R
I am planning an analysis where I will have children and parents rating the child's pain (numerical score). For each child, I will have a child pain score and a parent pain score. The dyads will ...
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Is the Covariance Matrix a dyad? [closed]
Given a random vector $X\in\mathbb{R}^n$ with random scalar entries $X_i$, why isn't the covariance matrix $\Sigma$ of the random vector $X$ a dyad? In other words, why isn't the rank of the ...
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Multilevel model analysis of dyad data
I'm trying to understand why when conducting a multilevel model analysis the Hessian matrix is not positive definite (using SPSS). The data I'm analyzing are responses from individuals who are grouped ...
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Can I do cluster analysis of dyadic data?
I have multilevel data that is dyadic in the unit of observation. The dyad is a unique pair of countries that sign a treaty, such that no dyad repeats itself. For example, the US-UK treaty, the US-...
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SEM design on dyadic data. Please help!
I have two surveys, and one is implemented to counselors. The questions ask about they feel about their relationship with their administrator. It has have two dimensions, let's say d1 and d2. I have ...
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Migration Flows and Multiple Regression Quadratic Assignment Procedures
I'm a forth year economics student (undergraduate) and last semester I wrote a research paper, with a classmate, in which we analyzed the determinants of interprovincial migration flows in Canada. It ...
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Asking for help with a probability question for "learning dyadic data"
I am reading a paper "Learning from dyadic data" written by Thomas Hofmann, Jan Puzicha and Michael I. Jordan, which lays a foundation for a later paper that proposes the famous probabilistic latent ...
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MCMCglmm interpretation of effective sample size
I'm running a selection of MCMCglmm models in R, and have a basic question about the outputs.
Based on what I've been reading, one indication that the model is mixing well is a large effective ...
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HLM-related inquiry - comparing the magnitude of coefficients
I've conducted two separate HLM analyses, each with two IVs predicting to the same DV in the same sample. The problem that I've encountered is that I would like to compare the magnitude of the ...
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regression with non-independent data
I will be performing regression on subjects total scores from 2 player games (prisoners dilemma) that they will be playing. I am aware that including both players score from a game will cause problems ...
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Is GLMM correct for data with several binary outcome variables per subject?
My experimental design is roughly this: I have observations of 5 categories of behavior in a specific situation, with two individuals interacting at a time. In each dyad, I only collect data from one ...
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Computing the dyadic add portion of the Walsh-Fourier spectral density
I am attempting to build a Walsh-Fourier spectral density and it appears that it is first required to compute the logical covariance which in turn involves a dyadic add.
I am not at all familiar with ...
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Does having self and other report measures as predictors require dyad analysis?
I have three different measures of child anxiety (IVs). For each measure, I have a self-rating by the child and an other-rating by a parent.
I want to use these measures to predict a particular ...
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Within group correlation of pearson's residuals
I have social network data in which an "ego" names a friend "alter". I am running a regression in R in which attributes of alter are predictors of outcomes for ego. So each observation is dyadic with ...
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Post hoc chi-square test
I am looking at a $\chi^2$ (crosstabs) test looking at interactions between types of dyads in an animal group. My categories are Male-Male, Male-Female, and Female-Female dyads in the rows and "Were ...
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When analyzing dyadic data, can unpaired cases be used in any part of the analysis?
I am currently in the process of analyzing a data set comprised of manager-subordinate dyads. Data were collected cross-sectionally and the data set contains some of the same variables collected from ...
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Paired permutation test for repeated measures
I have a data set consisting of interactions between male-female dyads within a group in two conditions. The values range from -1 to 1 and indicate how responsible the female was for maintaining the ...
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Factor analysis of dyadic data
An anonymous reader posted the following question on my blog.
Context:
The reader wanted to run a factor analysis on scales from a questionnaire - but the data was from paired husbands and wives.
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