Bayesian statistics and modelling [PDF]
, 2021 Bayesian statistics is an approach to data analysis and parameter estimation based on Bayes’ Theorem. This Primer describes the stages involved in Bayesian analysis, from specifying the prior and data models, to deriving inference, model checking and ...
Kramer, Bianca +13 more
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Improving Transparency and Replication in Bayesian Statistics: The WAMBS-Checklist [PDF]
, 2017 Bayesian statistical methods are slowly creeping into all fields of science and are becoming ever more popular in applied research. Although it is very attractive to use Bayesian statistics, our personal experience has led us to believe that naively ...
Methodology and statistics for the behavioural and social sciences +3 more
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Bayesian statistics in educational research: a look at the current state of affairs [PDF]
, 2018 The ability of a scientific discipline to build cumulative knowledge depends on its predominant method of data analysis. A steady accumulation of knowledge requires approaches which allow researchers to consider results from comparable prior research ...
König, Christoph +3 more
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Power and type I error of local fit statistics in multilevel latent class analysis [PDF]
, 2017 In the social and behavioral sciences, variables are often categorical and people are often nested in groups. Models for such data, such as multilevel logistic regression or the multilevel latent class model, should account for not only the categorical ...
Vermunt, J.K. +8 more
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TESF methodology for statistics education improvement [PDF]
, 2010 The need for universities to achieve excellence in the services they provide has been the subject of research for several decades. The idea of involving students and recognizing the importance of their opinions has led to the creation of various models ...
Barone, Stefano,, Franco, E. L.
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Systematic search of Bayesian statistics in the field of psychotraumatology [PDF]
, 2017 In many different disciplines there is a recent increase in interest of Bayesian analysis. Bayesian methods implement Bayes' theorem, which states that prior beliefs are updated with data, and this process produces updated beliefs about model parameters.
Naomi Schalken +7 more
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Stop met het onkritische gebruik van nulhypothesen [PDF]
, 2018 Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive ...
de Boer, Michiel; id_orcid +6 more
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Can I just check...? Effects of edit check questions on measurement error and survey estimates [PDF]
, 2014 Household income is difficult to measure, since it requires the collection of information about all potential income sources for each member of a household.Weassess the effects of two types of edit check questions on measurement error and survey ...
J�ckle, AE +5 more
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Methodology in the Mirror: A Living, Systematic Review of Works in Quantitative Ethnography [PDF]
, 2022 Quantitative Ethnography is a nascent field now formulating the specifics of its conceptual framework and terminology for a unified, quantitative – qualitative methodology.
Donegan, Savannah +6 more
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Estimating classification error under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC) [PDF]
, 2016 Both registers and surveys can contain classication errors. These errors can be estimated by making use of information that is obtained when making use of a combined dataset.
Boeschoten, L. +2 more
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