ArticleAuditory perception & cognition2020
Understanding Speech Amid the Jingle and Jangle: Recommendations for Improving Measurement Practices in Listening Effort Research.
Article in Auditory perception & cognition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
22 citing papers in PubMed.
- "Old Wine in a New Bottle": Are Different Terminologies on Dual Processing Conceptually the Same?Europe's journal of psychology · 2026Article
- Characterizing listener perception of dysarthric speech beyond speech intelligibility.The Journal of the Acoustical Society of America · 2026Article
- The dual-task costs of audiovisual benefit: Effects of noise and "native" speaker status.Attention, perception & psychophysics · 2026Article
- Analyzing the Impact of Four Cognitive Constructs on Nonverbal Intelligence Test Performance: Implications for Children With Neurodevelopmental Disorders.Language, speech, and hearing services in schools · 2025Article
- Noisy speech impairs retention of previously heard information only at short time scales.Memory & cognition · 2025Article
- Impaired Performance in Noise: Disentangling Listening Effort from the Irrelevant Speech Effect.Collabra. Psychology · 2025Article
- Relations Among Multiple Dimensions of Self-Reported Listening Effort in Response to an Auditory Psychomotor Vigilance Task.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Designing and evaluating tasks to measure individual differences in experimental psychology: a tutorial.Cognitive research: principles and implications · 2024Review
- Eye Movements Decrease during Effortful Speech Listening.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Brightening the Study of Listening Effort with Functional Near-Infrared Spectroscopy: A Scoping Review.Seminars in hearing · 2023Article
- Combining Multiple Psychophysiological Measures of Listening Effort: Challenges and Recommendations.Seminars in hearing · 2023Review
- Exposure to nonnative-accented speech reduces listening effort and improves social judgments of the speaker.Scientific reports · 2023Article
- Sensory-Processing Sensitivity Predicts Fatigue From Listening, But Not Perceived Effort, in Young and Older Adults.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Beyond Speech Intelligibility: Quantifying Behavioral and Perceived Listening Effort in Response to Dysarthric Speech.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Speech and non-speech measures of audiovisual integration are not correlated.Attention, perception & psychophysics · 2022Article
- Article
- Cognitive and Physiological Measures of Listening Effort During Degraded Speech Perception: Relating Dual-Task and Pupillometry Paradigms.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Seeing a Talker's Mouth Reduces the Effort of Perceiving Speech and Repairing Perceptual Mistakes for Listeners With Cochlear Implants.Ear and hearingArticle
- Article
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The latent constructs psychologists study are typically not directly accessible, so researchers must design measurement instruments that are intended to provide insights about those constructs. Construct validation-assessing whether instruments measure what they intend to-is therefore critical for ensuring that the conclusions we draw actually reflect the intended phenomena. Insufficient construct validation can lead to the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.