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.
Questions tagged [dyadic-data]
43 questions
9
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2 answers
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 data?…
Jeromy Anglim
- 47,292
8
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3 answers
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…
Jonathan Bone
- 1,193
6
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2 answers
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
- 22,269
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2 answers
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
- 165
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5
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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
- 161
4
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1 answer
Absolute difference as disagreement measure
I am conducting a descriptive study on how the extent of disagreement in various opinions on preventive care varies depending on the specific opinion domain (i.e., prevention against different diseases) and the relationship (e.g., with parents or…
kris
- 129
4
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1 answer
How to define a correlation structure for relational data in glmmTMB?
I have relational data, i.e. observations for pairs of objects. More specifically these are migration rates between plant populations, which I would like to explain by a predictor. The migration rates are often zero, but sometimes positive, thus I…
Tobias Naaf
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4
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1 answer
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
- 1,130
4
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2 answers
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 dyadic…
user1205901 - Слава Україні
- 12,855
4
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1 answer
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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1 answer
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…
3
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1 answer
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…
Jass
- 63
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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 was for an applied econometrics class. We used a…
Malthus
- 171
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1 answer
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,…
joshblech
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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
- 21