antalsignifikanta

Antalsignifikanta, in Swedish usage, refers to the number of results or findings that meet a predefined significance criterion in a dataset or study. The term is a descriptive count rather than a formal statistical parameter and is commonly used in reports to indicate how many tests, contrasts, or observations are considered statistically significant under a chosen threshold.

In practice, antalsignifikanta is determined by applying a significance level, often denoted alpha (for example 0.05), to individual tests or comparisons. If several tests are conducted, the count will reflect how many of those tests yield p-values at or below the threshold. The concept is frequently encountered in study summaries, tables, and narrative sections where researchers want to convey the extent of statistically significant findings.

A crucial caveat is that the count can be influenced by multiple testing corrections. When adjustments such as Bonferroni or false discovery rate procedures are applied, the number of significant results may decrease, altering the antalsignifikanta. Therefore, it is important to report whether the count is raw or corrected, and to accompany the figure with information on the methods used, the tested hypotheses, and the effect sizes.

Limitations include potential misinterpretation of the count as a measure of practical importance; significance does not imply large or important effects. Good practice is to present the antalsignifikanta alongside p-values, confidence intervals, and effect sizes for a complete picture.

See also: significance testing, p-value, multiple testing correction, effect size.