Our comparison of samples from the Záblacký Bible with the first, second and third editions of the Old Czech Bible translation confirms Kyas's classification of the Záblacký Bible as a compilation translation, containing parts with texts from different editions of the Old Czech Bible. Some of its books belong to the first edition of the Old Czech Bible translation, some to the second, or the first and the second edition against the third edition, and some indicate conformity to third edition bibles. Some parts show conformity with the second and simultaneously the third editions against the first edition. In some places the Záblacký Bible even has its own reading, which we have not found in any other bible that we have worked with.
Our comparison of samples from the Záblacký Bible with the first, second and third editions of the Old Czech Bible translation confirms Kyas's classification of the Záblacký Bible as a compilation translation, containing parts with texts from different editions of the Old Czech Bible. Some of its books belong to the first edition of the Old Czech Bible translation, some to the second, or the first and the second edition against the third edition, and some indicate conformity to third edition bibles. Some parts show conformity with the second and simultaneously the third editions against the first edition. In some places the Záblacký Bible even has its own reading, which we have not found in any other bible that we have worked with.
This article presents a critical evaluation of the growing popularity of online social surveys for the exploration of attitudes and behaviours within higher educational institutions. More specifically this article addresses a number of key issues: the construction of representative online samples, and the presentation of the results from an institutional census constructed from an online survey with a low response rate. The improper use of statistical significance tests, and the reporting of systematic errors when quota sampling is employed in surveys is also discussed. This study compares and evaluates four recent academic surveys: (a) the Czech wave of the EUROSTUDENT IV survey fielded by SC&C, (b) A Research Survey on Academic Staff at Czech Colleges and Universities undertaken by SC&C in 2009, (c) surveys of students and (d) employees at Palacky University Olomouc undertaken by the newly established Laboratory of Social Research. This article shows that an improper interpretation of online surveys resulted in a missrepresention of the views of university students and academic staff on the state of Czech higher education and opinions concerning different tertiary education reform measures.
The aim of this article is to provide an overview of the problems associated with the fielding of questions of a socially sensitive nature typically dealing with crime, health, and sexual activity in nationally representative sample surveys. This article presents an overview of previous research on this topic and associated themes such as the definition of sensitive survey questions, the emergence and impact of social desirability effects and application of the Cognitive Aspects of Survey Methodology (CASM) to mechanisms of question response on sensitive topics. Thereafter, this article maps out specific sources of error that are likely to occur when fielding sensitive survey questions; and highlights methods that may used to minimise measurement error, thereby enhancing data validity. The article concludes with an appraisal of some of the most influential criterion-validity used in this sub-field of survey research.
Alena Fialová (ed.) ; redaktoři: Alena Fialová (próza), Petr Hruška (poezie), Lenka Jungmannová (drama)., Obsahuje bibliografie, bibliografické odkazy a rejstřík., and Anglické resumé
In this article it is argued that one of the main problems in data analysis is an over-emphasis on statistical rather than substantive significance. Statistical significance reports the improbability of specific outcomes from sample data using a null hypothesis. In contrast, substantive significance is concerned with the real-world meaning of data modelling results for a population, regardless of p value, where an effect size estimator is used for evaluation. The argument presented in this article begins with a consideration of how substantive significance may be defined. Thereafter, there is a summary of the literature on substantive significance and its measurement using a variety of effect size estimators, many of which are little known to researchers. This article also examines the topics of economic and clinical significance. In the conclusion, this study discusses attempts to synthesise different concepts of substantive significance and recommends some practical usage of these concepts.