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

Indicators02:39

Indicators

57.3K
Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are...
57.3K
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.4K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.4K
Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

9.1K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
9.1K
Statistical Significance01:50

Statistical Significance

21.0K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.0K
Coefficient of Correlation01:12

Coefficient of Correlation

8.1K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
8.1K
Outliers and Influential Points01:08

Outliers and Influential Points

5.8K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Tracking affordances requires a sophisticated model of life stages, phases, and transitions.

The Behavioral and brain sciences·2026
Same author

Understanding and transcending "p" requires a functional model of psychopathology: Commentary on Caspi et al. (2026).

Journal of psychopathology and clinical science·2026
Same author

It's bigger on the inside: mapping the black box of motivation.

The Behavioral and brain sciences·2025
Same author

Relative density clouds: Visualizing and exploring multivariate patterns of group differences.

PloS one·2023
Same author

Cognitive gadgets: A provocative but flawed manifesto.

The Behavioral and brain sciences·2019
Same author

Global sex differences in personality: Replication with an open online dataset.

Journal of personality·2019

Related Experiment Video

Updated: Jan 3, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.4K

How Well Do Bibliometric Indicators Correlate With Scientific Eminence? A Comment on Simonton (2016).

Marco Del Giudice1

  • 1Department of Psychology, University of New Mexico.

Perspectives on Psychological Science : a Journal of the Association for Psychological Science
|November 14, 2019
PubMed
Summary

Psychologists' reputation closely mirrors scientific contributions, contrary to previous research. A reanalysis indicates a strong link between bibliometric data and scholarly standing.

Keywords:
bibliometricseminenceh indexreputation

More Related Videos

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

802
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

692

Related Experiment Videos

Last Updated: Jan 3, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

33.4K
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

802
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

692

Area of Science:

  • Psychology
  • Bibliometrics
  • Scientometrics

Background:

  • Previous research suggested weak associations between scholars' reputation, productivity, and citation counts in psychology.
  • This interpretation was based on partial regression coefficients, potentially underestimating the combined influence of these factors.

Purpose of the Study:

  • To re-evaluate the relationship between scientific contribution metrics and scholarly reputation in psychology.
  • To determine if reputation more closely tracks scientific output than previously suggested.

Main Methods:

  • Reanalysis of existing data using a composite bibliometric index.
  • Calculation and application of the h-index to assess scientific productivity.
  • Regression analysis to quantify the association between bibliometric indices and reputation.

Main Results:

  • A composite bibliometric index showed a substantial association with reputation (β = 0.70), explaining 46% of the variance.
  • The h-index also demonstrated a strong correlation with reputation (β = 0.67), explaining 42% of the variance.
  • These findings indicate a stronger link between scientific contribution and reputation than previously reported.

Conclusions:

  • Scholarly reputation in psychology is more closely aligned with scientific contributions than acknowledged in recent literature.
  • Bibliometric indicators, such as composite indices and the h-index, are valuable in assessing this relationship.
  • While acknowledging limitations, the study underscores the importance of objective measures in understanding academic eminence.