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Speaking to and About Patients: Predicting Therapists' Tone of Voice

Speaking to and About Patients: Predicting Therapists' Tone of Voice

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684 R. ROSENTHAL, P. BLANCK, AND M. VANNICELLIOPTIMISTIC.2032 /2222\ "ANXIETY /36WARMTHFigure 1. <strong>Tone</strong> <strong>of</strong> voice while talking <strong>to</strong> 98 patients (four variables) as predicted from <strong>to</strong>ne <strong>of</strong> voice whiletalking about those same 98 patients (five variables). (The four criterion variables are enclosed in boxes;the five predic<strong>to</strong>r variables are arrayed around the perimeter.)in talking <strong>to</strong> patients could be predicted significantlyfrom knowing how therapists talkedabout patients as measured on five predic<strong>to</strong>rvariables—warmth, anxiety, dominance, optimism,<strong>and</strong> honesty. The remaining two predic<strong>to</strong>rvariables <strong>of</strong> hostility <strong>and</strong> pr<strong>of</strong>essionalcompetence in talking about patients did notcontribute significantly <strong>to</strong> the prediction <strong>of</strong>the four fac<strong>to</strong>r-based dependent variables.Figure 1 summarizes the four regressionequations graphically. The four dependentvariables are shown in boxes, <strong>and</strong> the five significantpredic<strong>to</strong>rs are shown on the perimeter<strong>of</strong> the diagram. This form <strong>of</strong> display <strong>of</strong> a se<strong>to</strong>f multiple regression equations has the advantagethat it not only shows for each dependentvariable its successful predic<strong>to</strong>rs butalso shows for each predic<strong>to</strong>r the various dependentvariables <strong>to</strong> which it makes a predictivecontribution.The single substantive conclusion that seemsclearest is that therapists who speak withwarmth <strong>and</strong> anxiety (interpreted in this contextas concern <strong>and</strong> caring) <strong>and</strong> not in a dominantmanner about their patients, treat theirpatients with warmth <strong>and</strong> honesty as judgedfrom their <strong>to</strong>ne <strong>of</strong> voice in speaking <strong>to</strong> theirpatients.Additionally, more tentative conclusionsfrom Figure 1 are that (a) therapists speaking<strong>of</strong> patients in a dominant but optimistic mannerare more likely <strong>to</strong> talk <strong>to</strong> those patientsin a pr<strong>of</strong>essionally competent manner; (b)honesty in talking about a patient may be associatedwith anxiety in talking <strong>to</strong> that patient;<strong>and</strong> (c) honesty after correction for any componen<strong>to</strong>f warmth (see Table 2) may predictdishonesty in <strong>to</strong>ne <strong>of</strong> voice while talking <strong>to</strong>patients. Honesty corrected for warmth maybe akin <strong>to</strong> brutal frankness, a kind <strong>of</strong> "honesty"that may not be <strong>of</strong> therapeutic benefit.Canonical CorrelationIn our final analysis we examined the overallrelationship between the' seven predic<strong>to</strong>r variables<strong>and</strong> the four criterion variables we hadearlier examined in a series <strong>of</strong> four multipleregression equations. The resulting canonicalcorrelation R c was .584, p = .00022, showingthat the information in the predic<strong>to</strong>r set significantlypredicted the information in the criterionset. Of the four canonical correlationsthat could be computed, only the first wassignificant.Table 3 shows the loadings on the first canonicalvariate for the predic<strong>to</strong>r <strong>and</strong> the criterionvariables. The pattern <strong>of</strong> loadings onthe predic<strong>to</strong>r variables suggest that therapistsscoring high on this canonical variate manifesta <strong>to</strong>ne <strong>of</strong> voice in talking about patients thatis cold, uncaring (unanxious), perhaps overlypr<strong>of</strong>essional, <strong>and</strong> dominating—a pattern thatappears "coldly au<strong>to</strong>cratic." These coldly au-

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