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

Statistical Significance01:50

Statistical Significance

22.1K
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...
22.1K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

16.6K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.6K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

929
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
929
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

7.0K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
7.0K
Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

408
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
408
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Triadic balance and network evolution in predictive models of signed networks.

Scientific reports·2025
Same author

The response readiness tool: An instrument to measure knowledge, skills, and attitude after taking a stop the Bleed® course.

Public health nursing (Boston, Mass.)·2024
Same author

What is your research question? A mixed methods evaluation of an academic statistical consulting center.

Evaluation and program planning·2021
Same authorSame journal

Evaluating the Impact of Multidimensionality on Type I and Type II Error Rates using the Q-Index Item Fit Statistic for the Rasch Model.

Journal of applied measurement·2021
Same author

Utilization trends in traditional Chinese medicine for acute myocardial infarction.

Journal of ethnopharmacology·2019
Same author

Evaluation of a New Helicopter Crew Transport Fatigue Assessment.

Air medical journal·2019

Related Experiment Video

Updated: Feb 9, 2026

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice
08:52

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice

Published on: February 22, 2019

11.3K

Psychometric Evaluation of the Revised Current Statistics Self-efficacy (CSSE-26) in a Graduate Student Population

Pei-Chin Lu1, Samantha Estrada, Steven Pulos

  • 1Samantha Estrada, Applied Statistics and Research Methods, University of Northern Colorado, 501 20th St., Greeley, CO 80639, USA, samantha.estrada@unco.edu.

Journal of Applied Measurement
|June 13, 2018
PubMed
Summary

This study validated the Current Statistics Self-Efficacy (CSSE) scale using Rasch analysis in graduate students. The refined CSSE-26 scale reliably measures statistics self-efficacy, aiding educators.

More Related Videos

Author Spotlight: Exercise Test for Evaluation of the Functional Efficacy of the Pig Cardiovascular System
02:47

Author Spotlight: Exercise Test for Evaluation of the Functional Efficacy of the Pig Cardiovascular System

Published on: May 12, 2023

2.0K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.9K

Related Experiment Videos

Last Updated: Feb 9, 2026

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice
08:52

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice

Published on: February 22, 2019

11.3K
Author Spotlight: Exercise Test for Evaluation of the Functional Efficacy of the Pig Cardiovascular System
02:47

Author Spotlight: Exercise Test for Evaluation of the Functional Efficacy of the Pig Cardiovascular System

Published on: May 12, 2023

2.0K
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.9K

Area of Science:

  • Educational Measurement
  • Psychometrics
  • Statistics Education

Background:

  • The Current Statistics Self-Efficacy (CSSE) scale assesses students' confidence in statistics.
  • Limited research has utilized Rasch models or examined CSSE in graduate settings.

Purpose of the Study:

  • To evaluate the psychometric properties of a modified CSSE scale in a graduate student population using Rasch measurement models.
  • To establish a reliable and valid instrument for measuring statistics self-efficacy among graduate students.

Main Methods:

  • A modified 30-item CSSE scale was administered to 179 graduate students.
  • Rasch rating scale analysis was employed to assess item-level psychometrics and scale dimensionality.

Main Results:

  • The analysis identified a 26-item unidimensional scale (CSSE-26).
  • Assumptions for sample-free and test-free measurement were met.
  • The CSSE-26 demonstrated reliable and valid measurement of statistics self-efficacy.

Conclusions:

  • The CSSE-26 is a psychometrically sound instrument for graduate students.
  • Findings support the use of CSSE-26 to understand and improve students' statistics self-efficacy.