Detecting Emotional Expression in Face-to-Face and Online Breast Cancer Support Groups.
Accurately detecting emotional expression in women with primary breast cancer participating in support groups may be important for therapists and researchers. In 2 small studies (N = 20 and N = 16), the authors examined whether video coding, human text coding, and automated text analysis provided co...
| Publicado en: | Journal of Consulting & Clinical Psychology Vol. 76; no. 3; pp. 517 - 524 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
June 2008
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=508070146&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508070146 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0022006X JCC jtl: Journal of Consulting & Clinical Psychology issn: 0022006X maglogo: N pubinfo: dt: June 2008 vid: 76 iid: 3 pid: 34 pub: American Psychological Association artinfo: ui: 508070146 10.1037/0022-006X.76.3.517 ppf: 517 ppct: 7 formats: tig: atl: Detecting Emotional Expression in Face-to-Face and Online Breast Cancer Support Groups. aug: au: Liess, Anna Simon, Wendy Yutsis, Maya Piemme, Karen Altree Owen, Jason E. Golant, Mitch Giese-Davis, Janine su: Support groups Emotions Cancer patient care Recognition (Psychology) sug: subj: Support groups Emotions Cancer patient care Recognition (Psychology) ab: Accurately detecting emotional expression in women with primary breast cancer participating in support groups may be important for therapists and researchers. In 2 small studies (N = 20 and N = 16), the authors examined whether video coding, human text coding, and automated text analysis provided consistent estimates of the level of emotional expression. In Study 1, the authors compared coding from videotapes and text transcripts of face-to-face groups. In Study 2, the authors examined transcripts of online synchronous groups. The authors found that human text coding significantly overestimated Positive Affect and underestimated Defensive/Hostile Affect compared with video coding. They found correlations were low for Positive Affect but moderate for negative affect between Linguistic Inquiry Word Count (LIWC) and video coding. The implications of utilizing text-only detection of emotion are discussed. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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