Detecting Emotional Expression in Face-to-Face and Online Breast Cancer Support Groups

Autor/inn/en	Liess, Anna; Simon, Wendy; Yutsis, Maya; Owen, Jason E.; Piemme, Karen Altree; Golant, Mitch; Giese-Davis, Janine
Titel	Detecting Emotional Expression in Face-to-Face and Online Breast Cancer Support Groups
Quelle	In: Journal of Consulting and Clinical Psychology, 76 (2008) 3, S.517-523 (7 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-006X
DOI	10.1037/0022-006X.76.3.517
Schlagwörter	Social Support Groups; Cancer; Affective Behavior; Nonverbal Communication; Emotional Response; Correlation; Females; Computer Mediated Communication; Interpersonal Relationship; Videotape Recordings; Individual Characteristics; California; United States + Suchen Sie Ihr Suchwort? Social support; Soziale Unterstützung; Carcinoma; Karzinom; Krebs (med); Krebserkrankung; Affective disturbance; Active behaviour; Affektive Störung; Non-verbal communication; Nonverbale Kommunikation; Emotionales Verhalten; Korrelation; Weibliches Geschlecht; Computerkonferenz; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Kalifornien; USA
Abstract	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. (Contains 1 figure and 5 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10