This investigation assessed two versions (original, elaborated) of a content‐based metric for coding and calculating composite verbal intensity values for naturalistic discourse. Intensity scores were calculated for 50 sample talking turns using two versions of the scheme and compared with subjects’ intensity ratings of the 50 turns in two conditions. In the content condition subjects (n = 65) read each message and rated its intensity along a five‐point scale, while in the audio condition subjects (n = 65) listened to the recorded messages and indicated their perceived intensity using the same five‐point scale. Results indicate that composite intensity scores calculated via a revised (elaborated) version of the metric were not significantly different from subjects’ intensity ratings in the two conditions and were characterized by a significant positive correlation with those ratings. However, the composite intensity scores produced via the original version of the metric were significantly different from the subjects’ ratings and were marked by a low positive, yet nonsignificant correlation with those ratings.
Language intensity: Testing a content‐based metric
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.