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

14.1K
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.
14.1K
Group Design02:01

Group Design

10.6K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.6K
Data Validation01:15

Data Validation

2.0K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
2.0K
Data Validation01:03

Data Validation

6.8K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.8K
Factorial Design02:01

Factorial Design

13.9K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.9K
Design Example: Designing a Residential Plumbing System01:25

Design Example: Designing a Residential Plumbing System

1.1K
The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.
1.1K

You might also read

Related Articles

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

Sort by
Same author

The Influence of Proximate Determinants on Fertility Awareness among Women Seeking Care at Infertility Clinic in Western India.

Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine·2026
Same author

Utility of Fallopian Tube Brush Cytology and Cell Blocks as a Screening Tool for Epithelial Ovarian Cancer in Patients Undergoing Gynaecological Surgeries for Benign and Malignant Indications: Attempt at a Classification System.

Acta cytologica·2025
Same author

Diagnostic Ability and Reproducibility of NICE 2017 Intrapartum Cardiotocography Interpretation Guidelines: A Prospective Observational Study.

Journal of obstetrics and gynaecology of India·2025
Same author

Easing the Pain: Lignocaine Spray in Mid-Trimester Amniocentesis - A Randomized Double-Blind, Placebo-Controlled Trial.

Nigerian medical journal : journal of the Nigeria Medical Association·2025
Same author

Incidence, Causes, and Perinatal Outcomes of "Near-Miss" Obstetric Emergencies during the COVID-19 Pandemic: Experience from a Tertiary Referral Center of Western Rajasthan, India.

Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine·2025
Same author

Tranexamic acid in preventing postpartum blood loss in vaginal delivery: a double-blinded randomized controlled trial.

American journal of obstetrics & gynecology MFM·2024

Related Experiment Video

Updated: Feb 6, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

4.2K

How to Design and Validate A Questionnaire: A Guide.

Jaspreet Kaur Boparai1, Surjit Singh2, Priyanka Kathuria3

  • 1Department of Pharmacology, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, 201310, India.

Current Clinical Pharmacology
|August 8, 2018
PubMed
Summary
This summary is machine-generated.

This guide details questionnaire design and validation for postgraduate students. Proper construction ensures accurate research data and avoids bias, enhancing study reliability and generalizability.

Keywords:
Questionnaire validationWOMACpragmatic researchpsychometric assessmentquestionnaire designingvalidity.

More Related Videos

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
08:01

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

Published on: August 24, 2018

9.5K
Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

3.5K

Related Experiment Videos

Last Updated: Feb 6, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

4.2K
Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
08:01

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

Published on: August 24, 2018

9.5K
Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

3.5K

Area of Science:

  • Research Methodology
  • Data Collection Techniques

Background:

  • Questionnaires are vital for data collection in research.
  • Designing effective questionnaires presents challenges, particularly for postgraduate students.

Purpose of the Study:

  • To illustrate the essential steps in questionnaire design.
  • To provide insights into questionnaire construction and validation.
  • To highlight the importance of data comprehension for study objectives.

Main Methods:

  • Detailed explanation of questionnaire design steps.
  • Guidance on questionnaire construction and validation.
  • Overview of psychometric evaluation processes.

Main Results:

  • Properly designed questionnaires yield data that aligns with study objectives.
  • Inadequate design can lead to misinterpretation, bias, and reduced study power.
  • Validation ensures the questionnaire's usefulness and reliability.

Conclusions:

  • Effective questionnaire design is crucial for valid research outcomes.
  • Psychometric evaluation is essential to verify questionnaire utility.
  • This manuscript serves as a practical resource for researchers.