NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
Peer reviewed Peer reviewed
Direct linkDirect link
Izenberg, Maxwell; Brown, Ryan; Siebert, Cora; Heinz, Ron; Rahmattalabi, Aida; Vayanos, Phebe – Field Methods, 2023
In the small town of Sitka, Alaska, frequent and often catastrophic landslides threaten residents. One challenge associated with disaster preparedness is access to timely and reliable risk information. As with many small but diverse towns, who or what is a trustworthy source of information is often contested. To help improve landslide…
Descriptors: Community Involvement, Social Networks, Data Collection, Network Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
H. Cigdem Bulut; Okan Bulut; Ashley Clelland – Field Methods, 2025
In this study, we explored psychometric network analysis (PNA) as an alternative method for identifying item wording effects in self-report instruments. We examined the functioning of negatively worded items in the network structures of two math-related scales from the 2019 Trends in International Mathematics and Science Study (TIMSS); Students…
Descriptors: Psychometrics, Network Analysis, Identification, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Koster, Jeremy; Leckie, George; Aven, Brandy – Field Methods, 2020
The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…
Descriptors: Statistical Analysis, Computer Software, Hierarchical Linear Modeling, Social Networks
Peer reviewed Peer reviewed
Direct linkDirect link
Fischer, Claude S.; Bayham, Lindsay – Field Methods, 2019
Surveys of egocentric networks are especially vulnerable to methods effects. This study combines a true experiment--random assignment of respondents to receive essentially identical questions from either an in-person interviewer or an online survey--with audio recordings of the in-person interviews. We asked over 850 respondents from a general…
Descriptors: Network Analysis, Psychological Patterns, Interviews, Online Surveys
Peer reviewed Peer reviewed
Direct linkDirect link
Harling, Guy; Perkins, Jessica M.; Gómez-Olivé, Francesc Xavier; Morris, Katherine; Wagner, Ryan G.; Montana, Livia; Kabudula, Chodziwadziwa W.; Bärnighausen, Till; Kahn, Kathleen; Berkman, Lisa – Field Methods, 2018
Social network analysis depends on how social ties to others are elicited during interviews, a process easily affected by respondent and interviewer behaviors. We investigate how the number of self-reported important social contacts varied within a single data collection round. Our data come from Health and Aging in Africa: a Longitudinal Study of…
Descriptors: Foreign Countries, Interviews, Longitudinal Studies, Social Networks
Peer reviewed Peer reviewed
Direct linkDirect link
Molina, José Luis; Petermann, Sören; Herz, Andreas – Field Methods, 2015
Transnational social fields and transnational social spaces are often used interchangeably to describe and analyze emergent structures of cross-border formations. In this article, we suggest measuring two key aspects of these social structures: embeddedness and span of migrants' personal networks. While clustered graphs allow assessing…
Descriptors: Social Structure, Global Approach, Foreign Countries, Asians