Page 191 - Weiss, Jernej, ur./ed. 2025. Glasbena interpretacija: med umetniškim in znanstvenim┊Music Interpretation: Between the Artistic and the Scientific. Koper/Ljubljana: Založba Univerze na Primorskem in Festival Ljubljana. Studia musicologica Labacensia, 8
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exploring musicological discourses ...
sample characteristics, methodologies, and findings—is extracted and cod-
ed.Statistical techniques are then used to synthesize the extracted data, cal-
culating overall effect sizes, identifying patterns, and assessing the strength
of the evidence. Researchers evaluate variability among studies (heteroge-
neity) and assess potential biases, such as publication bias, to ensure the va-
lidity of the meta-analysis. The final step involves interpreting the results in
the context of the research question and existing literature, discussing im-
plications, limitations, and recommendations for future research.
While meta-analysis is traditionally associated with quantitative fields,
its principles are increasingly applied in humanities disciplines like musi-
cology to synthesize qualitative findings and explore trends within schol-
arly literature. 16
In musicology, studies often employ diverse theoretical frameworks
17
and methodologies. A meta-analytical approach allows researchers to in-
tegrate these varied analyses to understand broader trends and shifts in the
field. By examining a large corpus of musicological literature, meta-analy-
18
sis aids in identifying prevalent themes, topics, and areas of emphasis with-
19
in the discipline over time. It also evaluates methodological approaches
by assessing the effectiveness and popularity of different research methods
used in musicology, highlighting methodological advancements or prefer-
ences. The findings from meta-analyses contribute to scholarly discourse
20
by providing evidence-based insights into the evolution of musicological
thought and practice. 21
In this study, meta-analysis is combined with corpus-linguistic meth-
odology to analyze musicological literature from Slovenian journals. This
integration offers several advantages. Corpus linguistics provides tools for
quantifying textual data, allowing statistical analysis of language use, the-
matic frequency, and stylistic features within the corpus. The systematic
22
nature of meta-analysis reduces subjective biases, enabling a more objective
16 Jim Samson, Music in the Balkans (Leiden: Brill, 2013).
17 Nicholas Cook and Mark Everist, eds., Rethinking Music (Oxford: Oxford Universi-
ty Press, 1999).
18 Raymond Monelle, The Sense of Music: Semiotic Essays (Princeton, New Jersey: Prin-
ceton University Press, 2000).
19 Joseph Kerman, Contemplating Music: Challenges to Musicology (Cambridge, MA:
Harvard University Press, 1985).
20 Marion A. Guck, “Analytical Fictions,” Music Theory Spectrum 16, no. 2 (1994): 217–30.
21 Leo Treitler, Music and the Historical Imagination (Cambridge, MA: Harvard Uni-
versity Press, 1995).
22 McEnery and Hardie, Corpus Linguistics.
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