Statistical significance, by itself, is not a sufficient condition for claiming that a hypothesis has been supported. Constructive replications are considerably more important. Unfortunately, classical (Fisherian) statistics are not easily adapted to sequential research strategies; their focus is the single experiment. For this reason, statistically significant results may be meaningless while a particular sequence of nonsignificant results may be quite important. Advice on how to overcome some limitations of classical statistical procedures is given, along with a compendium of "do's and don't's."
The practice of Significance Testing (ST) remains widespread in psychological science despite contin...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
The research methodology literature in recent years has included a full frontal assault on statistic...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
Experimental research on behavior and cognition frequently rests on stimulus or subject selection wh...
One of the earliest criticisms to the null hypothesis statistical significance testing (NHST) approa...
Within psychology, significance testing is by far the most frequently used technique for generalisin...
The APA Task Force’s treatment of research methods is critically examined. The present defense of th...
A test of statistical significance is a procedure for determining how likely a result assuming a nul...
Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing,...
Statistical hypothesis testing is an integral part of the scientific process. When employed to make ...
Statistical inference is a form of induction, and can be broadly defined as “learning from data”. Th...
Statistical inference in psychology has traditionally relied heavily on p-value significance testing...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in...
Recent events have led psychologists to acknowledge that the inherent uncertainty encapsulated in an...
The practice of Significance Testing (ST) remains widespread in psychological science despite contin...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
The research methodology literature in recent years has included a full frontal assault on statistic...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
Experimental research on behavior and cognition frequently rests on stimulus or subject selection wh...
One of the earliest criticisms to the null hypothesis statistical significance testing (NHST) approa...
Within psychology, significance testing is by far the most frequently used technique for generalisin...
The APA Task Force’s treatment of research methods is critically examined. The present defense of th...
A test of statistical significance is a procedure for determining how likely a result assuming a nul...
Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing,...
Statistical hypothesis testing is an integral part of the scientific process. When employed to make ...
Statistical inference is a form of induction, and can be broadly defined as “learning from data”. Th...
Statistical inference in psychology has traditionally relied heavily on p-value significance testing...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in...
Recent events have led psychologists to acknowledge that the inherent uncertainty encapsulated in an...
The practice of Significance Testing (ST) remains widespread in psychological science despite contin...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
The research methodology literature in recent years has included a full frontal assault on statistic...