Bandingkan kaedah

	Meta-analisis berperingkat masa	Analisis Evolusi Tematik
Bidang	Saintometrik	Saintometrik
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1992 (cumulative form); refined through 2000s	2011
Pengasas	Lau et al. (cumulative variant); Borenstein et al. (general meta-analytic framework)	Manuel J. Cobo and colleagues (University of Granada)
Jenis	Quantitative evidence synthesis variant	Quantitative bibliometric technique
Sumber perintis	Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to Meta-Analysis. Wiley. ISBN: 978-0470057247	Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.
Alias	temporal meta-analysis, period-stratified meta-analysis, time-segmented meta-analysis, chronological meta-analysis	TEA, thematic development analysis, temporal thematic mapping, longitudinal theme analysis
Berkaitan	5	6
Ringkasan	Time-sliced meta-analysis is a variant of standard meta-analysis in which the primary studies are partitioned into successive time periods (slices) and a separate pooled effect estimate is computed for each period. By comparing pooled effects across periods, researchers can detect whether an intervention's effectiveness, a relationship's magnitude, or a methodological consensus has shifted over time. This temporal lens transforms a static evidence summary into a longitudinal narrative of how scientific knowledge on a topic has evolved.	Thematic evolution analysis is a bibliometric technique that divides a body of literature into consecutive time periods and tracks how research themes emerge, consolidate, split, merge, or disappear across those periods. By combining co-word analysis, clustering, and strategic diagrams for each time slice, it produces a dynamic picture of a field's intellectual development rather than a static snapshot.