friend_data

A dataset with friendship network data of 165 undergraduate students in China, and also contains information extroversion and depression scores

datasets

Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.

Zhiyong Zhang

networksem

Network Structural Equation Modeling

Ziqian Xu

friend_data function

A list with two elements<dl>
 <dt>network</dt>
<dd>A list containing a 165 x 165 adjacency matrix indicating friendship ties.</dd> <dt>non_network</dt>
<dd>A dataframe with 165 rows and 11 columns containing variables on depression from the
 Patient Health Questionnaire and extroversion from the mini-IPIP scale.</dd>
</dl>

Format

Friendship network data — friend_data

A list with two elements<dl>
 <dt>network</dt>
<dd>A list containing a 165 x 165 adjacency matrix indicating friendship ties.</dd>

 <dt>non_network</dt>
<dd>A dataframe with 165 rows and 11 columns containing variables on depression from the
 Patient Health Questionnaire and extroversion from the mini-IPIP scale.</dd>


</dl>

friend_data: Friendship network data

Description

Usage

Arguments

Format

Examples