Variability of a job search indicator induced by operationalization decisions when using digital traces from a meter

Digital traces -particularly metered data-offer researchers a valuable alternative to surveys for studying online behavior. However, because the concepts being measured are not directly observable in the data, their operationalization requires multiple decisions-for example, which events (e.g., visi...

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Detalles Bibliográficos
Autores: Ochoa Gómez, Carlos, Revilla, Melanie
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/72617
Acceso en línea:https://hdl.handle.net/10230/72617
http://dx.doi.org/10.1371/journal.pone.0338894
Access Level:acceso abierto
Palabra clave:Ocupació, Cerca d&apos
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Descripción
Sumario:Digital traces -particularly metered data-offer researchers a valuable alternative to surveys for studying online behavior. However, because the concepts being measured are not directly observable in the data, their operationalization requires multiple decisions-for example, which events (e.g., visited websites) represent the concepts and which metrics (e.g., visit counts or time spent) capture their intensity. Using metered data from 600 Netquest panelists in Spain, this study investigates how operationalization choices affect the measurement of job search intensity. By varying metrics-combinations of measurement targets (such as sessions on job platforms or job offer pages) and measurement types (such as visit counts or time spent)-along with other factors (e.g., methods for separating search activity into spells or handling outliers), the study explores 10,080 operationalizations. Results reveal significant variability, with correlations between measurement pairs ranging from 0.14 to 0.91. Metrics sharing the same measurement target (e.g., sessions, job offer pages) demonstrate stronger convergent validity than those sharing only the same measurement type (e.g., time or visits). Other operationalization factors, such as session segmentation methods, also influence results, though less than metric choice. Importantly, operationalization decisions can affect substantive findings.