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

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

309
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.
309
Modeling in Therapy01:26

Modeling in Therapy

49
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
49
Group Design02:01

Group Design

8.9K
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...
8.9K

You might also read

Related Articles

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

Sort by
Same author

Development and Initial Validation of the Quality of life Evaluation in <i>NF2</i>-related Schwannomatosis Trials (QUEST) Assessment.

medRxiv : the preprint server for health sciences·2026
Same author

Acuity, Diagnosis, and Community Factors in Virtual and In-Person Treatment: Qualitative Study.

JMIR human factors·2026
Same author

"It's not any one thing, it's always all of them, all at the same time": quality of life in NF2-related schwannomatosis from patient and clinician perspectives.

Familial cancer·2025
Same author

The Efficacy of the iCanCope Mobile Application for Neurofibromatosis Type 1 (NF1): A Three-Arm Randomized Controlled Trial.

American journal of medical genetics. Part A·2025
Same author

Clinician Perspectives of a Magnetic Resonance Imaging-Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2-Related Schwannomatosis: Qualitative Pilot Study.

JMIR human factors·2025
Same author

Antipsychotic agents in anxiety disorders: An umbrella review.

Acta psychiatrica Scandinavica·2024

Related Experiment Video

Updated: Jun 6, 2025

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
06:04

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling

Published on: January 17, 2025

431

Therapy Mode Preference Scale: Preliminary Validation Methodological Design.

Brianna Cerrito1, Jamie Xiao1, Amanda Fialk1

  • 1The Dorm, New York, NY, United States.

JMIR Formative Research
|November 29, 2024
PubMed
Summary

A new survey tool was developed to compare tele-mental health care and in-person therapy. The tool helps evaluate therapeutic experiences, aiding in understanding the effectiveness of different mental health treatment modalities.

Keywords:
exploratory factor analysisherapeutic impacthierarchical linear regressionin-person therapyin-person treatmentmental health treatmentstandardized tooltelehealththerapeuticvirtual carevirtual mental health carevirtual teletherapyvirtual therapyyoung adult mental health treatment

More Related Videos

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

3.2K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

3.9K

Related Experiment Videos

Last Updated: Jun 6, 2025

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
06:04

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling

Published on: January 17, 2025

431
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

3.2K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

3.9K

Area of Science:

  • Mental Health
  • Psychotherapy Research
  • Digital Health

Background:

  • Tele-mental health care use surged during COVID-19 as a contact-free treatment alternative.
  • It remains crucial for individuals facing geographic or physical barriers to care.
  • Potential drawbacks include missing nonverbal cues, crisis management challenges, and weakened group connections.

Purpose of the Study:

  • To develop and validate a survey instrument.
  • To comparatively assess teletherapy and in-person care.
  • To evaluate key therapeutic factors: alliance, engagement, rapport, and confidentiality.

Main Methods:

  • Survey items were based on expert input and existing scales.
  • Participants (n=89) experienced both teletherapy and in-person care.
  • Exploratory factor analysis, Cronbach's alpha, and hierarchical linear regression were used.

Main Results:

  • A 14-item, 3-factor structure was identified, accounting for 61% of variance.
  • Satisfactory internal consistency (Cronbach's α=0.71) was observed.
  • Client satisfaction significantly predicted therapy mode preference.

Conclusions:

  • A validated survey tool for assessing therapeutic impact in teletherapy versus in-person care is needed.
  • Further research is required to generalize findings to broader populations.
  • This study provides a foundation for a standardized assessment tool.