Basic Statistics for the Behavioral Sciences

TL;DR: In this article, the authors recommend four measures of cultural effect sizes for cross-cultural cross-lingual cross-reference studies and demonstrate their efficacy on two data sets from previously published studies.

TL;DR: Evaluation of cheese flavor using correlations between volatile compounds and sensory attributes provided further understanding of the complexity of flavor and flavor variability among Swiss cheeses manufactured from different factories that can be used to improve flavor consistency of Swiss cheese.

TL;DR: Correlation is a commonly used statistical procedure. as discussed by the authors reviewed articles that used those statistic tests to provide an overview of correlation coefficient tests, their indications and interpretations in ophthalmic data studies.

TL;DR: In this article, the authors recommend four measures of cultural effect sizes for cross-cultural cross-lingual cross-reference studies and demonstrate their efficacy on two data sets from previously published studies.

TL;DR: Evaluation of cheese flavor using correlations between volatile compounds and sensory attributes provided further understanding of the complexity of flavor and flavor variability among Swiss cheeses manufactured from different factories that can be used to improve flavor consistency of Swiss cheese.

TL;DR: This study provides fundamental evidence for policymakers and managers in pharma context to enable them formulating better polices to be proactively competitive and responsive to the markets’ needs.

TL;DR: GABRIEL as discussed by the authors is a rule-based system of computer programs designed to apply domain-specific and procedural knowledge systematically and uniformly for the analysis and interpretation of data from DNA microarrays.