NÁSTROJE NA ZLEPŠENIE ŠTATISTICKEJ INFERENCIE – ANALÝZA P-KRIVIEK A EKVIVALENČNÉ TESTOVANIE

• Authors: Fico Milan

Title variants

EN

Tools for better statistical inference. Analysis of p-curves and equivalence testing

• Languages of publication: SK

Abstracts

EN

File-drawer effect, selective data reporting and additional data adjustment often lead to publication bias in social sciences. This text deals with two techniques diminishing consequences of these negative phenomena. P-curves can distinguish relevant publications from nonsignificant ones and help us to select information base for formulation of next research goals. Another presented technique is equivalence testing. Focused on the falsification of hypotheses, it helps better explore trivial results and makes them more informative. Both techniques support informative value of results so that the conclusions of statistical inference are more valuable.

Keywords

EN

SIGNIFICANCE TESTING; PUBLICATION BIAS; SELECTIVE DATA REPORTING; P-CURVES; EQUIVALENCE TESTING

• Publisher: Institute of Sociology, Slovak Academy of Sciences
• Journal: Sociológia (Sociology)
• Year: 2020
• Volume: 52
• Issue: 4
• Pages: 323 – 353

Contributors

author

Fico Milan

• Inštitút pre výskum práce a rodiny, Župné nám. č. 5-6, 812 41 Bratislava, Slovak Republic

Identifiers

DOI

https://doi.org/10.31577/sociologia.2020.52.4.14