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

Reliability and Validity01:29

Reliability and Validity

12.8K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.8K
Measures of Intelligence01:29

Measures of Intelligence

7.7K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.7K
Ratio Level of Measurement00:54

Ratio Level of Measurement

18.4K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
18.4K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.2K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.2K
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

24.9K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
24.9K
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

392
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
392

You might also read

Related Articles

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

Sort by
Same author

Fostering interprofessional identity formation to support interprofessional collaboration - Identifying guidelines for educational design.

Advances in health sciences education : theory and practice·2025
Same author

Leader airtime management and team effectiveness in emergency management command and control (EMCC) teams.

Ergonomics·2022
See all related articles

Related Experiment Video

Updated: Jul 25, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.5K

Measuring mentoring in employability-oriented higher education programs: scale development and validation.

Wendy Nuis1, Mien Segers1, Simon Beausaert1

  • 1Department of Educational Research and Development, School of Business and Economics, Maastricht University, Tongersestraat 53, 6211 LM Maastricht, the Netherlands.

Higher Education
|June 26, 2023
PubMed
Summary

This study developed and validated a new questionnaire to measure the effectiveness of higher education mentoring programs. The tool reliably assesses six key types of mentoring support, aiding program evaluation.

Keywords:
CompetencesEmployabilityHigher educationMentoringQuestionnaire

More Related Videos

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

6.9K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.2K

Related Experiment Videos

Last Updated: Jul 25, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.5K
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

6.9K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.2K

Area of Science:

  • Educational Psychology
  • Higher Education Administration
  • Program Evaluation

Background:

  • Higher education institutions increasingly use mentoring programs to enhance student employability.
  • Existing methods for measuring mentoring program effectiveness lack validation and theoretical grounding.
  • Previous assessments often overlook the diverse range of support mentors provide.

Purpose of the Study:

  • To develop and validate a comprehensive questionnaire for assessing various types of mentoring support.
  • To provide a theoretically grounded and psychometrically sound instrument for higher education mentoring.

Main Methods:

  • Systematic literature review to inform questionnaire development.
  • Exploratory and confirmatory factor analysis on data from four higher education institutions.
  • Cross-validation of the final instrument across different sub-populations.

Main Results:

  • A statistically valid and reliable 21-item, 6-factor model of mentoring support was identified.
  • The validated factors include: trust and availability, emotional support, networking support, autonomy support, similarity, and empathy.
  • The questionnaire demonstrated reliability and validity across diverse higher education contexts.

Conclusions:

  • The developed questionnaire offers a robust tool for educational practitioners to evaluate mentoring program quality.
  • The instrument can identify specific areas of mentoring support that may require enhancement.
  • This validated tool contributes to evidence-based practices in higher education mentoring.