English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Bayesian inference has been advocated as an alternative to conventional analysis in psychological science. Bayesians stress that subjectivity is needed for principled inference, and subjectivity by-and-large has not been seen as desirable. This paper provides the broader rationale and context for subjectivity, and in it we show that subjectivity is the key to principled measures of evidence for theory from data. By making our subjective elements focal, we provide an avenue for common sense and expertise to enter the analysis. We cover the role of models in linking theory to data, the notion that models are abstractions which are neither true nor false, the need for relative model comparison, the role of predictions in stating relative evidence for models, and the role of subjectivity in specifying models that yield predictions. In the end, we conclude that transparent subjectivity leads to a more honest and fruitful analyses in psychological science

The Interplay between Subjectivity, Statistical Practice, and Psychological Science