Literature DB >> 29371851

After p Values: The New Statistics for Undergraduate Neuroscience Education.

Robert J Calin-Jageman1.   

Abstract

Statistical inference is a methodological cornerstone for neuroscience education. For many years this has meant inculcating neuroscience majors into null hypothesis significance testing with p values. There is increasing concern, however, about the pervasive misuse of p values. It is time to start planning statistics curricula for neuroscience majors that replaces or de-emphasizes p values. One promising alternative approach is what Cumming has dubbed the "New Statistics", an approach that emphasizes effect sizes, confidence intervals, meta-analysis, and open science. I give an example of the New Statistics in action and describe some of the key benefits of adopting this approach in neuroscience education.

Keywords:  Open Science; confidence intervals; inferential statistics; neuroscience education; null-hypothesis significance testing

Year:  2017        PMID: 29371851      PMCID: PMC5777847     

Source DB:  PubMed          Journal:  J Undergrad Neurosci Educ        ISSN: 1544-2896


  10 in total

1.  Editors can lead researchers to confidence intervals, but can't make them think: statistical reform lessons from medicine.

Authors:  Fiona Fidler; Neil Thomason; Geoff Cumming; Sue Finch; Joanna Leeman
Journal:  Psychol Sci       Date:  2004-02

2.  False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant.

Authors:  Joseph P Simmons; Leif D Nelson; Uri Simonsohn
Journal:  Psychol Sci       Date:  2011-10-17

3.  Uniform requirements for manuscripts submitted to biomedical journals.

Authors: 
Journal:  N Engl J Med       Date:  1997-01-23       Impact factor: 91.245

4.  Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better.

Authors:  Geoff Cumming
Journal:  Perspect Psychol Sci       Date:  2008-07

5.  The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective.

Authors:  John K Kruschke; Torrin M Liddell
Journal:  Psychon Bull Rev       Date:  2018-02

6.  Post-study caffeine administration enhances memory consolidation in humans.

Authors:  Daniel Borota; Elizabeth Murray; Gizem Keceli; Allen Chang; Joseph M Watabe; Maria Ly; John P Toscano; Michael A Yassa
Journal:  Nat Neurosci       Date:  2014-01-12       Impact factor: 24.884

7.  Characterization of the rapid transcriptional response to long-term sensitization training in Aplysia californica.

Authors:  Samantha Herdegen; Geraldine Holmes; Ashly Cyriac; Irina E Calin-Jageman; Robert J Calin-Jageman
Journal:  Neurobiol Learn Mem       Date:  2014-08-10       Impact factor: 2.877

8.  Robust misinterpretation of confidence intervals.

Authors:  Rink Hoekstra; Richard D Morey; Jeffrey N Rouder; Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2014-10

Review 9.  When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment.

Authors:  Denes Szucs; John P A Ioannidis
Journal:  Front Hum Neurosci       Date:  2017-08-03       Impact factor: 3.169

10.  Transcriptional correlates of memory maintenance following long-term sensitization of Aplysia californica.

Authors:  Catherine Conte; Samantha Herdegen; Saman Kamal; Jency Patel; Ushma Patel; Leticia Perez; Marissa Rivota; Robert J Calin-Jageman; Irina E Calin-Jageman
Journal:  Learn Mem       Date:  2017-09-15       Impact factor: 2.460

  10 in total
  5 in total

1.  Active Learning for Students and Faculty.

Authors:  Bruce R Johnson
Journal:  J Undergrad Neurosci Educ       Date:  2018-06-15

2.  A Simple Method for Teaching Bayesian Hypothesis Testing in the Brain and Behavioral Sciences.

Authors:  Thomas J Faulkenberry
Journal:  J Undergrad Neurosci Educ       Date:  2018-06-15

3.  Using ImageJ to Assess Neurite Outgrowth in Mammalian Cell Cultures: Research Data Quantification Exercises in Undergraduate Neuroscience Lab.

Authors:  Kyle Pemberton; Brittany Mersman; Fenglian Xu
Journal:  J Undergrad Neurosci Educ       Date:  2018-06-15

4.  Estimation for Better Inference in Neuroscience.

Authors:  Robert J Calin-Jageman; Geoff Cumming
Journal:  eNeuro       Date:  2019-08-01

5.  Statistical practice and transparent reporting in the neurosciences: Preclinical motor behavioral experiments.

Authors:  Olivia Hogue; Tucker Harvey; Dena Crozier; Claire Sonneborn; Abagail Postle; Hunter Block-Beach; Eashwar Somasundaram; Francis J May; Monica Snyder Braun; Felicia L Pasadyn; Khandi King; Casandra Johnson; Mary A Dolansky; Nancy A Obuchowski; Andre G Machado; Kenneth B Baker; Jill S Barnholtz-Sloan
Journal:  PLoS One       Date:  2022-03-21       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.