2018
DOI: 10.1080/07448481.2018.1470091
|View full text |Cite
|
Sign up to set email alerts
|

Moving college health research forward: Reconsidering our reliance on statistical significance testing

Abstract: Understanding the unique health needs of college students and establishing best practices to address them depend, heavily, on the inherent quality and contribution of the research identifying these needs. College health-focused publications currently exemplify less than ideal statistical reporting practices. Specifically, college health practitioners and researchers continue to rely heavily upon null hypothesis significance testing (NHST) as the sole standard for effectiveness, validity, and/or replicability o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 65 publications
0
1
0
Order By: Relevance
“…Perhaps partly due to the latter erroneous replicability posture on the meaning of the venerated p value in extant psychology, there have been aforementioned failures in replication practices and reproducibility of important psychological findings (e.g., [ 5 , 6 ]) resulting in new efforts at promoting replications (see [ 20 , 42 ]), on one hand. On the other hand, NHST alternatives such as the new statistics recommending the use and reporting of effect sizes, confidence intervals, and meta-analyses [ 19 , 22 , 43 47 ] and Bayesian statistics [ 23 , 24 , 48 ] have been proffered. As Smith and Little [ 18 ] aptly observed, there has been an inadvertent demand for larger and larger samples in various journals as a matter of policy because of these efforts, to the detriment of the science we seek to advance particularly given the exemplary beneficial scientific features [ 45 ] of the alterative.…”
Section: Introductionmentioning
confidence: 99%
“…Perhaps partly due to the latter erroneous replicability posture on the meaning of the venerated p value in extant psychology, there have been aforementioned failures in replication practices and reproducibility of important psychological findings (e.g., [ 5 , 6 ]) resulting in new efforts at promoting replications (see [ 20 , 42 ]), on one hand. On the other hand, NHST alternatives such as the new statistics recommending the use and reporting of effect sizes, confidence intervals, and meta-analyses [ 19 , 22 , 43 47 ] and Bayesian statistics [ 23 , 24 , 48 ] have been proffered. As Smith and Little [ 18 ] aptly observed, there has been an inadvertent demand for larger and larger samples in various journals as a matter of policy because of these efforts, to the detriment of the science we seek to advance particularly given the exemplary beneficial scientific features [ 45 ] of the alterative.…”
Section: Introductionmentioning
confidence: 99%