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

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

1.2K
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
1.2K
Interpreting R Charts01:22

Interpreting R Charts

348
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
348
Interpreting Run Charts01:25

Interpreting Run Charts

3.3K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.3K
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

10.0K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.0K
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

3.3K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
3.3K
Interpreting X̄ Charts01:13

Interpreting X̄ Charts

309
Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
309

You might also read

Related Articles

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

Sort by
Same author

Surveying the Language Switching Behaviours of Multilingual Autistic and Non-Autistic Adults.

Journal of autism and developmental disorders·2025
Same author

'It feels like a blessing' - The experience of Hebrew-English bilingualism among autistic children: An interpretative phenomenological analysis.

Autism : the international journal of research and practice·2025
Same author

No one-to-one mapping between typologies of pragmatic relations and models of pragmatic processing: a case study with mentalizing.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
Same author

Do You Like Me? Differences in Learning Social Cues in Adolescents with Developmental Language Disorder (DLD).

Journal of autism and developmental disorders·2025
Same author

"They don't realise how hard he has to try every day": The rewards and challenges of parenting a child with developmental language disorder.

International journal of language & communication disorders·2025
Same author

Bilingual children reach early language milestones at the same age as monolingual peers.

Journal of child language·2025

Related Experiment Video

Updated: Jan 30, 2026

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

46.5K

Using interpretative phenomenological analysis in autism research.

Katie Howard1, Napoleon Katsos1, Jenny Gibson1

  • 1University of Cambridge, UK.

Autism : the International Journal of Research and Practice
|January 24, 2019
PubMed
Summary

Interpretative phenomenological analysis (IPA) offers a valuable qualitative approach for autism research. Its focus on participant voice and researcher reflexivity can better illuminate autistic experiences.

Keywords:
autisminterpretative phenomenological analysisqualitative research

More Related Videos

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

7.2K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.8K

Related Experiment Videos

Last Updated: Jan 30, 2026

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

46.5K
Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

7.2K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.8K

Area of Science:

  • Autism Spectrum Disorder Research
  • Qualitative Research Methodologies
  • Phenomenological Studies

Background:

  • Qualitative research in autism is increasing.
  • Limited evidence exists on effective qualitative methods for capturing autistic perspectives.
  • Need for approaches that center autistic experiences.

Purpose of the Study:

  • Introduce interpretative phenomenological analysis (IPA) as a qualitative method for autism research.
  • Highlight IPA's features beneficial for understanding autistic experiences.
  • Demonstrate IPA's applicability in autism studies.

Main Methods:

  • Review of 10 qualitative studies on autistic experiences using IPA.
  • Analysis of IPA's core principles: equality of voice and researcher reflexivity.
  • Application of IPA procedures to existing autism research.

Main Results:

  • IPA's commitment to participant voice can provide authentic insights.
  • Researcher reflexivity in IPA enhances understanding of autistic perspectives.
  • IPA procedures are adaptable and useful for autism research.

Conclusions:

  • Interpretative phenomenological analysis is a suitable qualitative approach for autism research.
  • IPA can effectively illuminate the lived experiences of autistic individuals.
  • Further use of IPA is recommended in qualitative autism research.