Comparer des méthodes

	Évaluation des programmes numériques	Analyse de contenu numérique
Domaine	Méthodes de terrain	Qualitatif
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s–2010s (formalized alongside proliferation of digital programs and online data)	1950s (classical); digital adaptation 2000s–2010s
Auteur d'origine	Evolving practice; rooted in Rossi, Lipsey & Freeman's evaluation tradition; extended by digital methods scholars in the 2000s–2010s	Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)
Type	Applied evaluation methodology	Qualitative/quantitative hybrid research approach
Source fondatrice	George, S., & Leidner, D. (2020). Digital Evaluation: Leveraging Digital Data and Methods for Program Assessment. Routledge.	Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474
Alias	technology-enhanced evaluation, digital evaluation, e-evaluation, online program evaluation	DCA, online content analysis, web content analysis, digital media content analysis
Apparentées	5	4
Résumé	Digital program evaluation applies the systematic logic of program evaluation to programs that operate fully or partly in digital environments, using digital tools and data — web analytics, online surveys, platform logs, social media metrics, and digital trace data — to assess program reach, implementation fidelity, and outcomes. It retains the core evaluative commitment to rendering a defensible judgment about program merit and worth while exploiting the speed, scale, and granularity that digital data sources offer. Applications span online education, digital public health campaigns, e-government services, and technology-mediated social programs.	Digital Content Analysis is a systematic research method for describing, categorising, and interpreting the content of digital materials — social media posts, websites, online forums, blogs, emails, and video transcripts. It applies the rigorous coding logic of classical content analysis to digitally native or digitally collected text, enabling researchers to move from raw online data to structured, interpretable findings about communication, meaning, and social phenomena.