A comprehensive guide to study the agreement and reliability of multi-observer ordinal data.

Background: A recent systematic review revealed issues in regard to performing and reporting agreement and reliability studies for ordinal scales, especially in the presence of more than two observers. This paper therefore aims to provide all necessary information in regard to the choice among the most meaningful and most used measures and the planning of agreement and reliability studies for ordinal outcomes.

Methods: This paper considers the generalisation of the proportion of (dis)agreement, the mean absolute deviation, the mean squared deviation and weighted kappa coefficients to more than two observers in the presence of an ordinal outcome.

Underpowered studies in muscle metabolism research: Determinants and considerations.

Biomedical research frequently employs null hypothesis testing to determine whether an observed difference in a sample is likely to exist in the broader population. Null hypothesis testing generally assumes that differences between groups or interventions are non-existent, unless proven otherwise. Because biomedical studies with human subjects are often limited by financial and logistical resources, they tend to have low statistical power, i.

How well can the fetal heart rate baseline be assessed by intrapartum intermittent auscultation? An interrater reliability and agreement study.

Background: We aimed to examine the inter-reliability and agreement among midwives when assessing the fetal heart rate (FHR) using the handheld Doppler. The primary aim was to measure the reliability and agreement of FHR baseline (baseline) as beats per minute (bpm). The secondary aims were to measure fluctuations from the baseline, defined as increases and decreases, and classifications (normal or abnormal) of FHR soundtracks.

Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model.

Reliability of measurement instruments providing quantitative outcomes is usually assessed by an intraclass correlation coefficient. When participants are repeatedly measured by a single rater or device, or, are each rated by a different group of raters, the intraclass correlation coefficient is based on a one-way analysis of variance model. When planning a reliability study, it is essential to determine the number of participants and measurements per participant (i.