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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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. Question: Can factor analysis be run on dyadic…
Jeromy Anglim
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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 due to non-independence. Is there a way that to…
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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 the following properties Outcomes can only be…
Matt Krause
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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) on the task was measured. My hypothesis…
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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 measure of some outcome (taken before and after the…
Parseltongue
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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 both members of the dyad (e.g., age, relationship…
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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 thoroughly on the types of missing data (e.g. MAR,…
EJ16
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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 Seen to Interact" and "Were Never Seen to…
Rafe
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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 given row, two of these columns will be set to 1,…
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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 individual. Each time that situation is observed,…
purple_cc
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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 state/industry combinations; various patterns,…
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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 diagnosis (DV). How do I take into account the…
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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-sectional spatial autoregressive regression model of…
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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 grouped by SES, high vs low. I want to know if high…
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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 sample size. I'm finding this is true for most…
M.A.Kline
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