Beyond significance testing: Statistics reform in the behavioral sciences (2nd ed.).

2013 ◽  
Author(s):  
Rex B. Kline
Keyword(s):  
Significance Testing ◽  
Behavioral Sciences

Tests of Statistical Significance

2018 ◽  
Author(s):  
Brian D. Haig
Keyword(s):  
Null Hypothesis ◽  
Statistical Significance ◽  
Lessons Learned ◽  
Significance Testing ◽  
Behavioral Sciences ◽  
Null Hypothesis Significance Testing ◽  
Tests Of Significance ◽  
Philosophy Of Statistics ◽  
Critical Literature

Chapter 3 provides a brief overview of null hypothesis significance testing and points out its primary defects. It then outlines the neo-Fisherian account of tests of statistical significance, along with a second option contained in the philosophy of statistics known as the error-statistical philosophy, both of which are defensible. Tests of statistical significance are the most widely used means for evaluating hypotheses and theories in psychology. A massive critical literature has developed in psychology, and the behavioral sciences more generally, regarding the worth of these tests. The chapter provides a list of important lessons learned from the ongoing debates about tests of significance.

scholarly journals The null hypothesis is always rejected with statistical tricks: Why do you need it?

2019 ◽  
Vol 53 (1) ◽  
pp. 17-27
Author(s):  
Freddy A. Paniagua
Keyword(s):  
Null Hypothesis ◽  
Statistical Significance ◽  
Effect Sizes ◽  
Practical Significance ◽  
Significance Testing ◽  
Behavioral Sciences ◽  
Null Hypothesis Significance Testing ◽  
Very High

Ferguson (2015) observed that the proportion of studies supporting the experimental hypothesis and rejecting the null hypothesis is very high. This paper argues that the reason for this scenario is that researchers in the behavioral sciences have learned that the null hypothesis can always be rejected if one knows the statistical tricks to reject it (e.g., the probability of rejecting the null hypothesis increases with p = 0.05 compare to p = 0.01). Examples of the advancement of science without the need to formulate the null hypothesis are also discussed, as well as alternatives to null hypothesis significance testing-NHST (e.g., effect sizes), and the importance to distinguish the statistical significance from the practical significance of results.  

scholarly journals Why Did It Take So Many Decades for the Behavioral Sciences to Develop a Sense of Crisis Around Methodology and Replication?

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Andrew Gelman ◽  
Simine Vazire
Keyword(s):  
Null Hypothesis ◽  
Empirical Support ◽  
Full Scale ◽  
Significance Testing ◽  
Behavioral Sciences ◽  
Null Hypothesis Significance Testing ◽  
The Past ◽  
Replication Crisis ◽  
The Common

For several decades, leading behavioral scientists have offered strong criticisms of the common practice of null hypothesis significance testing as producing spurious findings without strong theoretical or empirical support. But only in the past decade has this manifested as a full-scale replication crisis. We consider some possible reasons why, on or about December 2010, the behavioral sciences changed.

Another look at behavioral sciences in dentistry: perspectives on collaborative clinical research

1984 ◽  
Vol 48 (8) ◽  
pp. 448-452
Author(s):  
LA Tedesco ◽  
JE Albino ◽  
WM Feagans ◽  
RS Mackenzie
Keyword(s):  
Clinical Research ◽  
Behavioral Sciences
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