Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Goodness-of-Fit Test01:16

Goodness-of-Fit Test

9.4K
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
9.4K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

4.0K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
4.0K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

4.3K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
4.3K
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

8.8K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
8.8K
Test for Homogeneity01:23

Test for Homogeneity

2.5K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.5K
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

29.1K
There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p...
29.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Robust Bayesian multilevel meta-analysis: Adjusting for publication bias in the presence of dependent effect sizes.

Behavior research methods·2026
Same author

Investigating the replicability of the social and behavioural sciences.

Nature·2026
Same author

Investigating the analytical robustness of the social and behavioural sciences.

Nature·2026
Same author

Continuous outcome estimation in N-of-1 trials for accelerated decision-making.

Epilepsia·2026
Same author

Words and Worlds Both: Dynamic Effects of Distributional and Sensorimotor Information in Semantic Processing.

Open mind : discoveries in cognitive science·2026
Same author

Trapped by selective attention: The role of attentional processes in the emergence and prevention of learning traps.

Journal of experimental psychology. Learning, memory, and cognition·2025

Related Experiment Video

Updated: Mar 10, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K

Two Bayesian tests of the GLOMOsys Model.

Sarahanne M Field1, Eric-Jan Wagenmakers2, Ben R Newell3

  • 1School of Psychology, University of Newcastle.

Journal of Experimental Psychology. General
|December 10, 2016
PubMed
Summary

Replication studies on global priming effects found no evidence supporting the GLOMO model. Subsequent experiments failed to confirm the original findings, highlighting the need for robust evidence in social psychology.

More Related Videos

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.2K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.5K

Related Experiment Videos

Last Updated: Mar 10, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.2K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

28.5K

Area of Science:

  • Social Psychology
  • Cognitive Psychology

Background:

  • Priming is a significant phenomenon in social psychology.
  • Recent retractions and replication failures have created debate between proponents and skeptics.
  • Replication is crucial for confirming priming effects.

Purpose of the Study:

  • To conduct preregistered replication attempts of a specific priming experiment by Förster and Denzler (2012).
  • To investigate the effect of global versus local letter processing on typicality ratings.

Main Methods:

  • Two experiments were conducted with participants processing letters globally or locally.
  • A typicality rating task was used to assess the effects of priming.
  • Bayes factor hypothesis tests were employed to analyze the data.

Main Results:

  • Experiment 1 (N=100) yielded an indecisive Bayes factor (1.38), favoring the null hypothesis.
  • Experiment 2 (N=908) provided strong support for the null hypothesis (Bayes factor = 10.84).
  • The results indicate that global priming does not significantly affect typicality ratings.

Conclusions:

  • The study failed to replicate the priming effect reported by Förster and Denzler (2012).
  • The findings challenge the existing support for the GLOMO model.
  • This research underscores the importance of rigorous replication in social psychology.