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

Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

30.4K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
30.4K
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

4.4K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
4.4K
What is Variation?01:14

What is Variation?

19.2K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
19.2K
Variation01:19

Variation

8.3K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.3K
Surveys02:16

Surveys

17.2K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
17.2K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

113.5K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
113.5K

You might also read

Related Articles

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

Sort by
Same author

Assessing periparturient ewe characteristics and nemabiome composition to guide targeted selective treatment for sustainable gastrointestinal nematodes control in sheep.

Animal : an international journal of animal bioscience·2024
Same author

Biological variation of cardiac troponins in chronic kidney disease.

Annals of clinical biochemistry·2020
Same author

Investigating the mediators and moderators of child body mass index change in the Time2bHealthy childhood obesity prevention program for parents of preschool-aged children.

Public health·2019
Same author

Gross motor skills of South African preschool-aged children across different income settings.

Journal of science and medicine in sport·2019
Same author

What is the impact of professional learning on physical activity interventions among preschool children? A systematic review.

Clinical obesity·2018
Same author

Synthesis and electronic investigation of mono- and di-substituted 4-nitro- and 4-amino-pyrazol-1-yl bis(pyrazol-1-yl)pyridine-type ligands and luminescent Eu(iii) derivatives.

Dalton transactions (Cambridge, England : 2003)·2017

Related Experiment Video

Updated: Mar 27, 2026

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

1.3K

Variation in Initial Procedures and the Stability of Dimensions Extracted from Free Response Data.

R A Jones, B R Morris, J B Ries

    Multivariate Behavioral Research
    |January 13, 2016
    PubMed
    Summary

    Researchers found that data reduction procedures did not alter the stability of dimensions extracted from elderly individuals' expressions of concern. Multidimensional configurations remained identical despite procedural variations, highlighting robust findings in health and quality of life research.

    More Related Videos

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.8K
    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
    08:27

    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

    Published on: September 27, 2019

    7.3K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
    09:00

    Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

    Published on: August 16, 2024

    1.3K
    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.8K
    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
    08:27

    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

    Published on: September 27, 2019

    7.3K

    Area of Science:

    • Gerontology
    • Psychometrics
    • Data Analysis

    Background:

    • Elderly populations express concerns and questions that require analysis.
    • Data reduction procedures can significantly impact analytical outcomes.
    • Understanding the stability of extracted dimensions is crucial for reliable research.

    Purpose of the Study:

    • To examine the stability of dimensions extracted from free-response data.
    • To assess the impact of varying data reduction procedures on dimensional stability.
    • To determine if procedural differences affect multidimensional configurations.

    Main Methods:

    • Collected over 1500 expressions of concern and questions from an elderly population.
    • Two independent groups performed complete analytic sequences, including data reduction and proximity measure acquisition.
    • Administered sorting tasks to gather proximity measures.

    Main Results:

    • Identical multidimensional configurations were obtained by both groups despite significant procedural variations.
    • A three-dimensional solution was consistently optimal for interpreting the data.
    • Key dimensions identified were Health Related, Quality of Life, and Individual versus Societal Responsibility.

    Conclusions:

    • The stability of dimensions extracted from this dataset is robust against variations in data reduction procedures.
    • The findings support the reliability of the identified dimensions in understanding elderly concerns.
    • The study validates a three-dimensional model for interpreting complex data in gerontological research.