Evaluating the Validity of Computerized Content Analysis Programs for Identification of Emotional Expression in Cancer Narratives.
Psychological interventions provide linguistic data that are particularly useful for testing mechanisms of action and improving intervention methodologies. For this study, emotional expression in an Internet-based intervention for women with breast cancer (n = 63) was analyzed via rater coding and 2...
| Publicado en: | Psychological Assessment Vol. 21; no. 1; pp. 79 - 89 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
March 2009
|
| 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=508044957&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508044957 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10403590 POL jtl: Psychological Assessment issn: 10403590 maglogo: N pubinfo: dt: March 2009 vid: 21 iid: 1 pid: 34 pub: American Psychological Association artinfo: ui: 508044957 10.1037/a0014643 ppf: 79 ppct: 10 formats: tig: atl: Evaluating the Validity of Computerized Content Analysis Programs for Identification of Emotional Expression in Cancer Narratives. aug: au: Bantum, Erin O'Carroll Owen, Jason E. su: Inter-observer reliability Emotions Computer software Content analysis Cancer patient psychology Cancer in women Psychology sug: subj: Inter-observer reliability Emotions Computer software Content analysis Cancer patient psychology Cancer in women Psychology ab: Psychological interventions provide linguistic data that are particularly useful for testing mechanisms of action and improving intervention methodologies. For this study, emotional expression in an Internet-based intervention for women with breast cancer (n = 63) was analyzed via rater coding and 2 computerized coding methods (Linguistic Inquiry and Word Count [LIWC] and Psychiatric Content Analysis and Diagnosis IPCAD]). Although the computerized coding methods captured most of the emotion identified by raters (LIWC sensitivity = .88; PCAD sensitivity = .83), both over-identified emotional expression (LIWC positive predictive value = .31; PCAD positive predictive value = .19). Correlational analyses suggested better convergent and discriminant validity for LIWC. The results highlight previously unrecognized deficiencies in commonly used computerized content-analysis programs and suggest potential modifications to both programs that could impmve overall accuracy of automated identification of emotional expression. Although the authors recognize these limitations, they conclude that LIWC is superior to PCAD for rapid identification of emotional expression in text. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|