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Measuring Empathic Accuracy With Daily Diary Data

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Title: Measuring Empathic Accuracy With Daily Diary Data


1
Measuring Empathic Accuracy With Daily Diary Data
Shonali Sashikant, Maryhope Howland, Adeena
Gabriel Eshkol Rafaeli, Barnard College,
Columbia University
  • Participants
  • 37 couples, cohabiting for a minimum of 6
    months.
  • Median age 28 years median length of
    relationship 3.3 years.
  • Daily Diary Method
  • Both members of each dyad completed daily
    electronic questionnaires on their moods and
    relationship events.
  • Subjects completed morning and evening portions
    of the diary daily for 3 weeks.
  • Measures
  • Perceivers completed depression, anger, anxiety,
    vigor, and efficacy items adapted from Profile of
    Mood States (Lorr McNair, 1971) for their
    partner (target), and partners completed
    identical items for themselves.

The longitudinal daily diary data collected in
the real-world allows for a uniquely dynamic
investigation of Empathic Accuracy, an area of
research in which there is increasing interest
and already many compelling findings. Empathic
accuracy (EA) has been defined as a perceivers
ability to accurately infer the thoughts and
feelings of another (Ickes et al., 1995).
Conclusions
  • Indices Across Emotions
  • Although the mean bias for all emotions is close
    to zero, discrepancy varies between negative and
    positive emotions there is a greater range of
    bias and discrepancy in former than in the
    latter. Bias in one negative emotion co-occurs
    with bias in the other positive emotion the same
    is true for negative emotions. Finally,
    overestimation of negative emotions is related to
    underestimation of positive emotions.
  • Correlations were generally positive, indicating
    some accuracy anger, the one outwardly directed
    emotion, obtained the highest correlational
    accuracy.
  • A greater proportion of presence accuracy was
    accounted for by hits than by correct rejections
    in the positive emotions the opposite was true
    in the negative emotions. This suggests a need to
    consider base rates in hits for any given
    emotion.

123451.Bias-.156.07.00.242. Discrepancy-.35-.
31-.403. Correlation.29.754.
Hits.245. Pattern
Example Participants Depression
  • Introduction Background
  • Operationalization and calculation of EA have
    varied widely across studies. Researchers have
    looked at a variety of mood and emotion measures
    ranging from relationship feelings to job
    satisfaction (Kenny Acitelli, 2001
    Pietromonaco, Rook, Lewis, 1992) , as well as
    thought contents (Ickes, Stinson Bissonette,
    Garcia 1990).
  • Originally, empathic accuracy and other versions
    of perceptual accuracy were studied
    cross-sectionally with one-time questionnaires
    (Kenny Acitelli, 2001), sometimes including
    brief lab interactions with a friend or stranger
    (Pietromonaco, Rook, Lewis, 1992).
  • Ickes and colleagues later created a lab
    paradigm that quickly became the standard for
    studying EA. The Unstructured Dyadic Interaction
    Paradigm asks dyad members to infer one another's
    thoughts and feelings from a videotape of a
    spontaneous interaction. Most recently,
    researchers have begun to use daily diary data
    (Wilhelm Perrez, 2004).

M .39
M .39
r .712
M -.30
r .59
M 84.0 sd 15.1 N 70 accurate hits 5.0
M .01 sd .39 N 74 Kurtosis 6.01
M .28 sd .34 N 74
M 0.35 sd 0.36 N 39
M 66.7 sd 18.7 N 70 accurate hits 30.3
M .01 sd .39 N 74 Kurtosis 7.70
M 0.29 sd 0.37 N 65
M 0.31 sd 0.31 N 66
M .36 sd .33 N 74
  • Emotions Across Indices
  • For both of the positive emotions, the
    discrepancy index is associated with 3 of the 4
    alternative indices of EA.
  • For the negative emotions, and particularly for
    anxiety and depression, the EA indices seem to
    tap into different elements of agreement/disagreem
    ent. Considering the base rates in neg. emotions,
    the divergence of EA indices is even more
    pronounced.
  • For all emotions, the pattern and the
    correlation were indistinguishable from one
    another.

M 66.4 sd 16.1 N 70 accurate hits 57.5
M .01 sd .44 N 74 Kurtosis 2.67
M 0.28 sd 0.30 N 69
M .49 sd .30 N 74
M 0.28 sd 0.27 N 71
M -.04 sd .72 N 74 Kurtosis .04
M 69.3 sd 15.8 N 70 accurate hits 97.7
M 0.30 sd 0.34 N 70
M 0.31 sd 0.31 N 72
M .83 sd .34 N 74
M -.07 sd .84 N 74 Kurtosis
M 91 sd 18.9 N 70 accurate hits 97.3
M 0.16 sd 0.35 N 64
M 0.16 sd 0.27 N 60
M .82 sd .27 N 74
Our data suggest that EA indices are
statistically and theoretically distinct. Future
research will examine how these discrete elements
of EA are related to daily relationship events
(e.g., of support and hindrance), as well as to
overall indicators such as relationship
satisfaction and commitment.
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