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Full-Text Articles in Medicine and Health Sciences
External Barriers For Including Parents Of Preterm Infants In A Randomised Clinical Trial In The Neonatal Intensive Care Unit In Sweden: A Descriptive Study, Evalotte Mörelius, Emma Olsson, Charlotte Sahlén Helmer, Ylva Thernström Blomqvist, Charlotte Angelhoff
External Barriers For Including Parents Of Preterm Infants In A Randomised Clinical Trial In The Neonatal Intensive Care Unit In Sweden: A Descriptive Study, Evalotte Mörelius, Emma Olsson, Charlotte Sahlén Helmer, Ylva Thernström Blomqvist, Charlotte Angelhoff
Research outputs 2014 to 2021
© Author(s) (or their employer(s)) 2020. Objectives Performing randomised controlled trials (RCTs) in neonatal intensive care is challenging in many ways. While restrictive inclusion criteria or busy study protocols are obvious barriers, external barriers leading to termination of a study are seldom discussed. The aim of this study was to describe barriers for inclusion of families in neonatal intensive care in an RCT aiming to evaluate the effects of continuous skin-to-skin contact on mood and sleep quality in parents of preterm infants, as well as the quality of parent-infant interaction and salivary cortisol concentrations at the time of discharge. Design …
Current Research And Statistical Practices In Sport Science And A Need For Change, Jake R. Bernards, Kimitake Sato, G. Gregory Haff, Caleb D. Bazyler
Current Research And Statistical Practices In Sport Science And A Need For Change, Jake R. Bernards, Kimitake Sato, G. Gregory Haff, Caleb D. Bazyler
Research outputs 2014 to 2021
Current research ideologies in sport science allow for the possibility of investigators producing statistically significant results to help fit the outcome into a predetermined theory. Additionally, under the current Neyman-Pearson statistical structure, some argue that null hypothesis significant testing (NHST) under the frequentist approach is flawed, regardless. For example, a p-value is unable to measure the probability that the studied hypothesis is true, unable to measure the size of an effect or the importance of a result, and unable to provide a good measure of evidence regarding a model or hypothesis. Many of these downfalls are key questions researchers strive …