A home education program for older adults with hearing impairment and their significant others: a randomized trial evaluating short- and long-term effects

0.05). Some effects differed between first-time and experienced hearing aid users. Addition of services to amplification and involvement of the SO are relevant in aural rehabilitatio

Self-report outcome in new hearing-aid users: Longitudinal trends and relationships between subjective measures of benefit and satisfaction

This study focussed on self-report outcome in new hearing-aid users. The objectives of the experiment were changes in self-report outcome over time, and relationships between different subjective measures of benefit and satisfaction. Four outcome inventories and a questionnaire on auditory lifestyle were administered to 25 hearing-aid users repeatedly after hearing-aid fitting, and assessments took place one week, four weeks, and 13 weeks after hearing-aid provision. The results showed that, for first-time users who used their hearing aids more than four hours per day, self-reported outcome increased over 13 weeks in some scales, although there was no change in amplification during this time. Furthermore, it was found that, for data collected immediately post-fitting, some subscales were much less face valid than for data collected later. This result indicates that the way in which hearing-aid users assess outcome changes over time. The practical consequence of the results is that early self-report outcome assessment may be misleading for some self-report outcome schemes

Why Distinguish Between Statistics and Mathematical Statistics–The Case of Swedish Academia

A separation between the academic subjects statistics and mathematical statistics has existed in Sweden almost as long as there have been statistics professors. The same distinction has not been maintained in other countries. Why has it been kept for so long in Sweden, and what consequences may it have had?In May 2015, it was 100 years since Mathematical Statistics was formally established as an academic discipline at a Swedish university where Statistics had existed since the turn of the century.We give an account of the debate in Lund and elsewhere about this division during the first decades after 1900 and present two of its leading personalities. The Lund University astronomer (and mathematical statistician) C. V. L. Charlier was a leading proponent for a position in mathematical statistics at the university. Charlier's adversary in the debate was Pontus Fahlbeck, professor in political science and statistics, who reserved the word statistics for ‘statistics as a social science’. Charlier not only secured the first academic position in Sweden in mathematical statistics for his former PhD student Sven Wicksell but also demonstrated that a mathematical statistician can be influential in matters of state, finance as well as in different natural sciences. Fahlbeck saw mathematical statistics as a set of tools that sometimes could be useful in his brand of statistics.After a summary of the organisational, educational and scientific growth of the statistical sciences in Sweden that has taken place during the last 50 years, we discuss what effects the Charlier–Fahlbeck divergence might have had on this development