https://doi.org/10.1177/13684302211020108
Group Processes & Intergroup Relations
2022, Vol. 25(6) 1577 –1593
© The Author(s) 2021
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DOI: 10.1177/13684302211020108
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P
I
R
Group Processes &
Intergroup Relations
The United States has become increasingly divided
along partisan lines. The discrepancy between how
American adults feel about their own political
party and the political party opposed to their
own—a phenomenon known as affective polariza-
tion—has grown significantly in recent decades.
For example, on a scale ranging from cold (0) to
warm (100), the difference between mean in-party
feeling and mean out-party feeling has risen from
27.0 in 1978 to 45.9 points in 2016 (Boxell et al.,
2020). The widening partisan division has largely
been driven by increasingly negative out-party feel-
ings, which in turn have been fueled by substantive
changes in the political and media environments
(Iyengar et al., 2019). Given that a well-functioning
democracy requires a certain degree of respect and
civility between political opponents, the high levels
of affective polarization in the United States could
have serious implications.
Love thy (partisan) neighbor:
Brief befriending meditation
reduces affective polarization
Otto Simonsson,
1
Jayanth Narayanan
2
and Joseph Marks
3
Abstract
The rising partisan animus between Democrats and Republicans has significant consequences
for American society, both political and nonpolitical. The present study used two preregistered
randomized controlled designs to investigate whether scalable meditation interventions could reduce
affective polarization, relative to baseline scores measured 1 week earlier, in American adults (Study
1: N = 353; Study 2: N = 246) who affiliated with either the Democratic Party or the Republican
Party. The results suggest that a brief befriending meditation can reduce affective polarization between
Democrats and Republicans by increasing positive feelings relatively more for the political outgroup
than the political ingroup.
Keywords
affective polarization, befriending, intergroup relations, meditation, mindfulness
Paper received 15 August 2020; revised version accepted 4 May 2021.
1
University of Oxford, UK
2
National University of Singapore, Singapore
3
University College London, UK
Corresponding author:
Otto Simonsson, Department of Sociology, University of
Oxford, 42–43 Park End Street, Oxford, England OX1 2JD,
UK.
1020108
GPI0010.1177/13684302211020108Group Processes & Intergroup RelationsSimonsson et al.
research-article2021
Article
1578 Group Processes & Intergroup Relations 25(6)
The evidence to date suggests that the rising
partisan animus between Democrats and
Republicans has both political and nonpolitical
consequences (Druckman et al., 2020a; Iyengar
et al., 2019; McConnell et al., 2018). For instance,
affective polarization has been shown to shape
beliefs about ostensibly apolitical issues such as
responses to a pandemic (Druckman et al.,
2020b); increasingly negative out-party feelings
have increased voting along party lines and have
discouraged elected officials from working with
members of the opposing party (Abramowitz &
Webster, 2016); and partisan animosity has under-
mined the level of trust toward the government,
especially when the political outgroup has been in
power (Hetherington & Rudolph, 2015). Hence,
it is vital to better understand the causes of affec-
tive polarization and, perhaps more importantly,
to investigate which interventions can reduce it.
Previous Psychological
Approaches to Reducing
Affective Polarization
Previous research suggests that psychological
interventions can reduce affective polarization
in the United States. For example, Levendusky
(2018) found that priming American national
identity, thereby making a superordinate group
identity more salient than partisan identity,
decreased affective polarization between
Democrats and Republicans (see also Levine
et al., 2005). The priming of national identity
could be used as an effective strategy to reduce
affective polarization among partisans, but it
also has the potential to exacerbate affective
polarization toward nonnationals, such as
undocumented immigrants (Wojcieszak &
Garrett, 2018). It may therefore be valuable to
consider other psychological interventions to
reduce affective polarization.
An alternative approach that holds promise is
imagined intergroup contact (Crisp & Turner,
2009), which involves imagining positive interac-
tions with one or more outgroup members. The
approach has demonstrated effectiveness in
improving intergroup attitudes and has recently
also been shown to reduce affective polarization
between Democrats and Republicans (Miles &
Crisp, 2014; Warner & Villamil, 2017; see also
Bond et al., 2018), with perceived commonality
between the self and the political outgroup as an
important underlying mechanism (Warner et al.,
2020; Wojcieszak & Warner, 2020). It might be
difficult, however, to get partisans with high lev-
els of affective polarization to voluntarily imagine
positive interactions with the political outgroup.
Other psychological interventions that might be
more easily accessible should therefore be
investigated.
Meditation Practices and
Affective Polarization
There has recently been an upsurge of interest in
mindfulness meditation (Simonsson, Martin, &
Fisher, 2020), with mindfulness-based programs
reported in the education system, the workplace,
the military (Creswell, 2017), and parliaments
around the world (Bristow, 2019). The practice of
mindfulness meditation involves bringing an
open and nonjudgmental attention to present-
moment experiences (Kabat-Zinn, 2003), which
facilitates emotion regulation and may reduce
negative outgroup attitudes through lower inter-
group anxiety (Price-Blackshear et al., 2017). It
has been shown to increase prosocial behavior
(Donald et al., 2019) and has also been suggested
as a possible tool to attenuate affective polariza-
tion in the United States (Klein, 2020). While the
effect of mindfulness meditation on affective
polarization remains untested, Petersen and
Mitkidis (2019) found no evidence of an associa-
tion between trait mindfulness and political toler-
ance (a construct that is conceptually linked to
affective polarization) nor an effect of a brief
mindfulness meditation on political tolerance.
The authors suggested that the results may be dif-
ferent with prolonged training in mindfulness
meditation or with other types of meditation that
are more oriented toward facilitating feelings of
compassion for others. Indeed, trait compassion
and similar constructs such as empathic concern
have been associated with more positive and
Simonsson et al. 1579
reconciliatory attitudes in intergroup settings
(Klimecki, 2019), which indicates that compas-
sion could play an important role in reducing
affective polarization (but see also Simas et al.,
2020).
Another type of meditation that has also been
taught in parliaments—as part of an 8-week
mindfulness-based program—is befriending
meditation (Williams & Penman, 2011). The key
difference between befriending meditation and
mindfulness meditation is that the former
involves cultivating a sense of kindness and
goodwill toward oneself and others, whereas the
latter involves paying attention, in a particular
way, to the present moment. Befriending medita-
tion may therefore influence affective polariza-
tion through the same mechanism as imagined
intergroup contact. Like imagined intergroup
contact, befriending meditation engages the
imagination and involves bringing different types
of people to mind, including people who may be
perceived as difficult or challenging. The differ-
ence between these approaches is that befriend-
ing meditation involves directly generating a
sense of kindness and goodwill toward whoever
has been brought to mind, while imagined inter-
group contact interventions involve imagining
positive interactions with one or more outgroup
members. Previous research has shown that
befriending meditation and similar practices such
as loving-kindness and compassion meditation
can strengthen compassion toward others
(Galante et al., 2014), increase perceived com-
monality between the self and others (Kok &
Singer, 2017), and boost positivity toward stran-
gers who were not brought to mind during the
meditation (Hutcherson et al., 2008). Indeed,
positive attitudes toward one outgroup may posi-
tively influence attitudes toward other outgroups
(Pettigrew, 2009; van Laar et al., 2005), and could
therefore make befriending meditation a suitable
intervention to reduce affective polarization.
Research from recent population studies
shows an overall increase in meditation use in the
United States (Black et al., 2018; Clarke et al.,
2018), with millions of Americans voluntarily
choosing to meditate. Given that this is not true
for the other psychological approaches designed
to reduce affective polarization, it does suggest
meditation might be a more scalable intervention.
Here, we therefore investigate the effects of brief
meditation interventions on affective polarization
between Democrats and Republicans.
The Present Research
Our overarching hypothesis was that compas-
sion reduces affective polarization, while mind-
fulness does not. We tested this hypothesis by (a)
examining the naturally occurring relationships
between affective polarization, trait compassion,
and trait mindfulness, and (b) directly influenc-
ing compassion and mindfulness by having par-
ticipants complete either a befriending meditation
or a mindfulness meditation. Building on prior
work (Klimecki, 2019; Petersen & Mitkidis,
2019), we hypothesized that trait compassion but
not trait mindfulness would be negatively associ-
ated with affective polarization in American
adults who affiliated with either the Democratic
Party or the Republican Party. We also hypothe-
sized that a brief befriending meditation would
reduce affective polarization between Democrats
and Republicans.
In Study 1, using an online sample of
American adults, we assessed whether individual
differences in trait compassion and trait mindful-
ness were associated with preintervention varia-
tion in affective polarization. We also investigated
whether participants randomly assigned to com-
plete a brief befriending meditation would exhibit
a greater reduction in affective polarization, rela-
tive to baseline levels measured 1 week earlier,
than participants who completed a brief mindful-
ness meditation or listened to a talk on the topic
of mindfulness meditation. In Study 2, using a
separate online sample of American adults, we
only compared the impact of a brief befriending
meditation on affective polarization with that of
the control task (listening to a talk on the topic of
mindfulness meditation). We did not ask any par-
ticipants to complete a mindfulness meditation in
Study 2. Finally, by pooling the data from Study 1
and Study 2, we conducted additional exploratory
1580 Group Processes & Intergroup Relations 25(6)
analyses to test whether the effects varied across
measurements of affective polarization or self-
identified political affiliation.
Study 1
Materials and Methods
The study (hypotheses, design plan, sampling
plan, variables, and analysis plan) was preregis-
tered on the Open Science Framework (https://
osf.io/qscfk). Sample size was determined using
a power analysis (G*Power Version 3.1.9.2; Faul
et al., 2007). A sample size of 243 participants (81
per condition) achieves 80% power to detect a
small effect (effect size f = 0.10, partial η
2
= .01)
with an alpha of .05. Hence, the aim was to
recruit 450 participants in total at Time 1, with
150 participants per condition, assuming that not
all would complete the second part of the study.
Participants. Participants were recruited on Pro-
lific Academic (https://app.prolific.co). We used
the custom prescreening function to only recruit
American citizens over 18 years of age who spoke
English and who affiliated with either the Demo-
cratic Party or the Republican Party. Stratified
random sampling was used to ensure we had
approximately equal numbers of Democrats and
Republicans, as Democrats tend to be overrepre-
sented on online platforms (Arechar & Rand,
2020; Paolacci & Chandler, 2014). Two hundred
and twenty-five Democrats and 226 Republicans
completed the first part of the study on March
17, 2020; 81.78% of the Democrats and 77.88%
of the Republicans completed the second part of
the study 1 week later, over a 2-day period from
March 24 to 26, 2020. The participants who failed
the attention checks were removed, leaving the
final number of participants at 353 (172 females,
178 males, and three who preferred not to pro-
vide gender information; 182 Democrats, 171
Republicans; age range: 18–76 years, M = 37.15,
SD = 13.05). All participants gave informed con-
sent and provided demographic information
(age, gender, education, meditation experience,
first language, and whether they have asthma)
through Qualtrics (https://www.qualtrics.com/),
the platform used to collect the data for the study.
The participants were naïve to the purpose of the
experiment and were simply told that the aim was
to “expand the existing knowledge in the fields
of mindfulness, compassion, and political atti-
tudes.” All participants were paid £1.00 for par-
ticipating in the first session and £3.00 for
participating in the second session.
Design and procedure. We utilized a longitudinal
randomized controlled design to assess the causal
effects of meditation practices on affective polar-
ization. Specifically, we examined whether mind-
fulness and/or befriending meditation reduced
affective polarization, relative to baseline scores
measured 1 week earlier. Changes in affective
polarization over time were compared to a con-
trol condition, in which participants listened to a
talk about mindfulness meditation, to ensure that
fluctuations were not due to a temporal con-
found. The current study therefore had three
between-subject factors (mindfulness, befriend-
ing, control) and two within-subject factors (time:
preintervention, postintervention). Randomiza-
tion checks confirmed that the between-subject
conditions were balanced on demographic, politi-
cal, trait, and polarization variables (see online
supplemental material).
Preintervention stage. In the preintervention
stage (Time 1), participants were asked to indicate
their political party affiliation (Democrat, Repub-
lican, independent, other, none), and answered
five items designed to assess how strongly they
identified with that party (e.g., “How important
is your identity as a Democrat to you?”; Druck-
man & Levendusky, 2019). They were also asked
to complete two questionnaires to examine their
levels of trait mindfulness (Cognitive and Affec-
tive Mindfulness Scale-Revised; Feldman et al.,
2007) and trait compassion (Santa Clara Brief
Compassion Scale; Hwang et al., 2008).
Affective polarization was then assessed using
three validated measures that are all strongly
related to one another (Druckman & Levendusky,
2019): a feeling thermometer (asks respondents
Simonsson et al. 1581
to rate how cold or warm they feel toward
Democratic and Republican voters [party candi-
dates, elected officials]); a trait rating measure
(asks respondents to rate how well positive
traits—such as intelligence, honesty, and generos-
ity—and negative traits—such as hypocrisy, self-
ishness, and meanness—describe the two parties’
voters [party candidates, elected officials]); a trust
measure (asks respondents how much of the time
they think they can trust the two parties’ voters
[party candidates, elected officials] to do what is
right for the country). Our preregistration speci-
fied that we would specifically ask participants to
rate each party’s voters on these three measures.
After submitting the preregistration but before
collecting the data, we decided to also assess par-
ticipants’ feelings, trait ratings, and trust toward
party candidates and elected officials, as done by
Druckman and Levendusky (2019). We analyzed
these two sets of data separately and note in the
Results section that the preregistered analysis (i.e.,
the analysis of affective polarization when par-
ticipants are asked to focus on voters) is confirm-
atory, while the analysis of participants’ feelings,
trait ratings, and trust toward party candidates
and officials must be considered exploratory.
Intervention stage. One week later (Time 2),
participants were invited to complete the second
part of the study in which they were randomly
assigned to one of three conditions (mindfulness,
befriending, control). Participants in the mind-
fulness condition listened to a 10-minute guided
mindfulness meditation (focused on sounds and
thoughts). In the recording, they were instructed
to (a) settle into a comfortable posture, (b) bring
awareness to sounds for a few minutes, (c) bring
awareness to thoughts for a few minutes, and (d)
bring awareness to their breath and body in the
last moments of the guided meditation. Partici-
pants in the befriending condition listened to a
10-minute guided befriending meditation. In the
recording, they were instructed to (a) settle into
a comfortable posture, (b) bring kindness and
friendship to themselves by silently saying: “May
I be free from suffering, may I be happy and
healthy, may I have ease of being,” (c) bring to
mind a loved one and wish them well in the same
way, (d) bring to mind a stranger and wish them
well in the same way, (e) bring to mind a difficult
person and wish them well in the same way, (f)
extend kindness and friendship to all living beings
and wish them well in the same way, and (g)
bring awareness to their breath and body in the
last moments of the guided meditation. Partici-
pants in the active control condition listened to
a 10-minute audio recording about mindfulness
meditation. In the recording, they were educated
about mindfulness meditation and the evidence
to date on the neuroscience of mindfulness and
the efficacy of mindfulness-based programs.
The word mindfulness was never mentioned in
the mindfulness condition, but it was mentioned
repeatedly in the talk about mindfulness medita-
tion, which was focused on the concept (rather
than the practice) of mindfulness. The audio
recording for the control condition was a com-
bination of talks by Professor Mark Williams,
who has delivered mindfulness teachings to Brit-
ish politicians together with Chris Cullen from
the Oxford Mindfulness Centre (Bristow, 2019).
The audio recordings used in the mindfulness
and befriending conditions were also recorded by
Professor Mark Williams and were derived from
Mindfulness: A Practical Guide to Finding Peace in a
Frantic World (Williams & Penman, 2011), which
forms the basis of an eight-week mindfulness
course that has been taught in the UK Parlia-
ment. After listening to the audio recording,
participants were assessed on the three affective
polarization measures (the feeling thermometer,
the trait rating measure, and the trust measure).
Attention checks. In the preintervention stage,
participants were presented with one attention
check question embedded in the trait mindfulness
questionnaire, “Please select the disagree option
for this question,” and one embedded in one
of the trait rating measures, “Please click very
well.” Participants who did not give the desired
responses to these questions (n = 32) were not
invited to complete the second part of the study.
1
In the second part of the study, participants
were presented with an attention check that
1582 Group Processes & Intergroup Relations 25(6)
followed the audio recording to which they had
been assigned: mindfulness condition (“During
the audio recording, I was instructed to. . .”; 1 =
focus on sounds and thoughts, 2 = recite a mantra, 3 =
stretch my body), befriending condition ( “During
the audio recording, I was instructed to. . .”; 1 =
generate feelings of kindness toward myself and others, 2
= memorize numbers and dates, 3 = stretch my body),
control condition (“During the audio recording, I
learnt about. . .”; 1 = mindfulness and meditation, 2
= sports and gymnastics, 3 = politics and law).
Participants who gave the wrong answer on these
questions (n = 5) were excluded from data analy-
ses, as were those who gave the same answer for
every item on the trait mindfulness questionnaire
(as this included reverse-coded items).
Manipulation check. After listening to the audio
recording to which they had been assigned,
all participants also completed a manipulation
check: “How much did you generate feelings
of kindness and goodwill toward others during
the recording you listened to?” and “How much
did you focus on the present moment during the
recording you listened to?” Responses were rated
on a 5-point Likert scale (1 = not at all, 5 = very
much). Participants in the befriending condition
were expected to provide higher scores on the
kindness question than participants in the other
two conditions, while those in the mindfulness
condition were expected to provide higher scores
on the presence question.
Statistical analyses. As specified in our preregistra-
tion, we computed composite measures of affec-
tive polarization for each time point. Aggregating
numerous closely linked measures of the same
latent construct can reduce measurement noise
(Rushton et al., 1983), increase test–retest reliabil-
ity (Eisenberg et al., 2019), and alleviate the need
for researchers to conduct multiple statistical
tests. We based our decision to aggregate affec-
tive polarization scores on the feeling thermom-
eter, trait rating, and trust measures on previous
research showing that these three measures are
strongly correlated with one another (Druckman
& Levendusky, 2019).
To compute the composite affective polariza-
tion scores, we first created a net trait rating for
each group of voters per participant by subtract-
ing the sum of the negative traits from the sum
of the positive traits, consistent with earlier stud-
ies (Druckman & Levendusky, 2019; Iyengar
et al., 2012). Next, ratings on the feeling ther-
mometer, net trait rating, and trust measure were
standardized. Note that we did not state that we
would do this in our preregistration, however,
standardization was necessary as the ratings were
provided on different scales. Specifically, we line-
arly scaled scores on each measure onto a 0 to
100 scale. Affective polarization scores on each
measure at each time point were then computed
by calculating the difference between partici-
pants’ rating of their own party’s voters and their
rival party’s voters. We then aggregated these
three measures separately for each time point to
produce a Time 1 and Time 2 composite affective
polarization measure. A reliability analysis per-
formed on the Time 1 data revealed that this
composite measure has good internal consistency
(Cronbach’s alpha = .86, average interitem cor-
relation = .67; all interitem correlations are
reported in the supplemental material). We
repeated these steps using participants’ feelings,
trait ratings, and trust toward each party’s candi-
dates and elected officials to create a second com-
posite measure of affective polarization with a
different target (Cronbach’s alpha = .85, average
interitem correlation = .66).
To test our first preregistered hypothesis—
that trait compassion, but not trait mindfulness,
negatively correlates with preintervention affec-
tive polarization scores—we assessed the bivari-
ate (Pearson) correlations between baseline (Time
1) composite affective polarization scores, trait
mindfulness scores, and trait compassion scores.
We also assessed the partial correlation between
baseline composite affective polarization scores
and trait mindfulness, controlling for trait com-
passion, and the partial correlation between base-
line affective polarization scores and trait
compassion, controlling for trait mindfulness.
To test our second preregistered hypothesis—
that befriending meditation reduces affective
Simonsson et al. 1583
polarization more than mindfulness meditation
or listening to a talk about mindfulness medita-
tion—we tested whether there was an effect of
the meditation practice condition on composite
affective polarization change scores. In a slight
deviation from the analysis plan set out in our
preregistration, we calculated the change in affec-
tive polarization by subtracting the Time 1 affec-
tive polarization composite scores from the Time
2 scores. We then performed a one-way ANOVA
on these change scores, with the meditation prac-
tice condition entered as the between-subject fac-
tor. The rationale for deviating from the
preregistered analysis plan as well as the results of
the preregistered analysis are reported in the sup-
plemental material.
Results
Confirmatory analyses
Correlations between baseline affective polarization,
trait mindfulness, and trait compassion. Our over-
arching hypothesis was that feeling compassion
reduces affective polarization, while being mind-
ful does not. We therefore investigated the natu-
rally occurring relationship between reported
trait compassion and preintervention composite
affective polarization scores (based on ratings
of Democratic and Republican voters), to test
whether people with higher trait compassion
scores exhibit lower levels of affective polariza-
tion. Contrary to our hypothesis, a one-tailed
bivariate (Pearson) correlation did not reveal a
significant relationship between trait compassion
and baseline levels of affective polarization, r(353)
= .04, p = .257. There was also a nonsignificant
relationship between reported trait mindfulness
and baseline affective polarization, r(353) =
−.06, p = .140. A one-tailed partial correlation
between trait compassion and baseline affective
polarization revealed that this null finding held
when controlling for trait mindfulness, r
partial
(350)
= .04, p = .237; and a one-tailed partial correla-
tion between trait mindfulness and baseline affec-
tive polarization, controlling for trait compassion,
also showed no significant association, r
partial
(350)
= −.06, p = .132.
Effects of meditation practices on affective polari-
zation. As a manipulation check, we assessed
whether the befriending meditation induced
feelings of compassion more than the mindful-
ness meditation and the control task. A one-
way ANOVA revealed a significant effect of
the meditation practice condition on how much
participants generated feelings of kindness and
goodwill toward others while listening to the
audio recording, F(2, 352) = 20.44, p < .001,
η
p
2
= .11. Post hoc Tukey’s honestly significant
difference (HSD) tests demonstrated that par-
ticipants in the befriending condition reported
generating more compassion (M = 3.73, SD =
1.01) than participants in the mindfulness condi-
tion (M = 2.94, SD = 1.15, p < .001) and those
in the control condition (M = 3.01, SD = 1.00,
p < .001). We also tested whether the mindful-
ness meditation was more effective at inducing
a mindful state than the befriending medita-
tion and the control task. A one-way ANOVA
revealed that the meditation practice condition
did not have a significant effect on how much
participants reported focusing on the present
moment while listening to the audio recording,
F(2, 352) = 0.56, p = .570, η
p
2
= .003, sug-
gesting that participants who completed the
mindfulness meditation were not more likely to
have entered a mindful state than those in the
befriending and control conditions.
We then tested whether the meditation prac-
tices reduced levels of affective polarization.
Specifically, we assessed whether pre- to postint-
ervention changes in the composite affective
polarization scores (based on ratings of
Democratic and Republican voters) varied
between meditation practice conditions. A one-
way ANOVA revealed a marginal but not signifi-
cant effect of meditation practice condition on
these change scores, F(2, 352) = 2.59, p = .076,
η
p
2
= .02 (see Table 1).
Exploratory analyses. We repeated the aforemen-
tioned analyses using the composite affective
polarization scores comprised of participants’
ratings of Democratic and Republican candi-
dates and elected officials, as a robustness check.
1584 Group Processes & Intergroup Relations 25(6)
Again, we found no relationship between trait
compassion and baseline levels of affective
polarization, r(353) = .06, p = .135, even when
controlling for trait mindfulness, r
partial
(350) =
.06, p = .124. Nor was there a correlation
between trait mindfulness and baseline affective
polarization, r(353) = −.05, p = .199, or a par-
tial correlation between these two variables
when controlling for trait compassion,
r
partial
(350) = −.05, p = .182.
We did, however, find a significant effect of
meditation practice condition on the pre- to
postintervention change in composite affective
polarization scores. A one-way ANOVA revealed
a significant effect of meditation practice condi-
tion on affective polarization change scores, F(2,
352) = 3.66, p = .027, η
p
2
= .02. Post hoc Tukey’s
HSD tests indicated that participants in the
befriending condition exhibited a greater reduc-
tion in affective polarization (M = −4.95, SD =
12.69) than those in the control condition (M =
−0.86, SD = 14.30, p = .038) and a marginally
greater reduction than those in the mindfulness
condition (M = −1.35, SD = 10.91, p = .075).
There was no difference in change scores between
the mindfulness condition and the control condi-
tion (p = .953). Thus, although our confirmatory
analyses did not produce significant results, we
did find some evidence to support the hypothesis
that befriending meditation influences affective
polarization.
Closer inspection of the change scores sug-
gested that befriending meditation may not affect
all measures of affective polarization equally.
Table 1 suggests that there was little change
between Time 1 and Time 2 affective polarization
scores on the trust measure, both when partici-
pants rated parties’ voters and when they rated
parties’ candidates and elected officials, while
there was pre- to postintervention movement in
the expected direction on the feeling thermome-
ter and the net trait rating measure. Moreover,
although the three Time 1 affective polarization
measures showed good internal consistency and
were strongly related to one another, the internal
consistency of the change scores (Time 2 scores
minus Time 1 scores) was low and the interitem
correlations were weak, both when participants
rated each party’s voters (Cronbach’s alpha = .47,
average interitem correlation = .23) and when
they rated each party’s candidates and elected
officials (Cronbach’s alpha = .40, average inter-
item correlation = .18).
Discussion
In Study 1, confirmatory analyses found that
affective polarization was not significantly associ-
ated with trait compassion or trait mindfulness,
and that a brief befriending meditation had a
marginal but not significant effect on affective
polarization when Democratic and Republican
Table 1. Mean change scores on each measure of affective polarization for participants in the befriending,
mindfulness, and control conditions.
Condition Mean change in affective polarization (standard deviation)
Feeling
thermometer
Net trait rating Trust
Voters
Befriending −6.85 (23.00) −3.65 (14.86) −2.10 (19.14)
Mindfulness −2.22 (18.66) −2.15 (13.39) −1.47 (20.40)
Control −0.26 (21.50) −0.57 (18.13) 0.22 (23.30)
Party candidates and elected officials
Befriending −6.29 (20.84) −6.88 (15.98) −1.68 (18.04)
Mindfulness −3.69 (16.79) −0.58 (15.64) 0.21 (19.12)
Control −1.60 (22.66) 0.11 (19.47) −1.09 (20.78)
Simonsson et al. 1585
voters were the target of the ratings. However,
exploratory analyses found that a brief befriend-
ing meditation significantly reduced affective
polarization when Democratic and Republican
candidates and elected officials were the target of
the ratings, which provided some evidence to
support the hypothesis that befriending medita-
tion influences affective polarization.
In addition to the confirmatory and explora-
tory analyses, change scores in Table 1 indicate
that the effects of a brief befriending meditation
varied across the measurements of affective
polarization (feeling thermometer, net trait rating,
trust measure), with the largest changes observed
on the feeling thermometer. In Study 2, we there-
fore tested whether the befriending meditation
caused a pre- to postintervention reduction in
affective polarization, relative to an active control
condition, on the feeling thermometer only.
Study 2
Materials and Methods
The study was preregistered on the Open Science
Framework (https://osf.io/sd3uf). Sample size
was determined with a power analysis (G*Power
Version 3.1.9.2; Faul et al., 2007). We entered the
mean change scores on the feeling thermometer
for participants in the befriending condition and
the control condition of Study 1 (M
befriending
=
−6.85, M
control
= −0.26), as well as the standard
deviations of these change scores (SD
befriending
=
23.00, SD
control
= 21.50), into the power analysis
and found that a sample size of 284 participants
would achieve 80% power to detect an effect size
d = 0.30, with an alpha of .05. We therefore
recruited 350 participants in total at Time 1,
assuming that the dropout and exclusion rates
would be similar to those in Study 1.
Participants. The recruitment procedure was the
same as that for Study 1, except that participants
who completed Study 1 were prevented from also
taking part in Study 2. Participants were paid
£0.50 for participating in the first session and
£2.00 for participating in the second session (the
compensation was slightly less than in Study 1
because questions were removed, thus the time it
took to complete the study was shortened). One
hundred and seventy-five Democrats and 175
Republicans completed the first part of the study
on December 2, 2020; 74.29% of the Democrats
and 79.43% of the Republicans who completed
the first part also completed the second part of
the study 1 week later, over a 3-day period from
December 9 to 11, 2020. Due to a technical error
in the recruitment process, 18 participants who
had not completed the first session took part in
the second session of the study. These partici-
pants, as well as those who failed attention checks,
were excluded from the analysis, leaving the final
number at 246 (123 females, 120 males, two iden-
tified as “other” when asked about gender, and
three preferred not to provide gender informa-
tion; 125 Democrats, 121 Republicans; age range:
18–96 years, M = 34.18, SD = 12.77).
Design and procedure. As in Study 1, we used a lon-
gitudinal randomized controlled design to investi-
gate whether reductions in affective polarization
over time were greater for participants who com-
pleted a brief befriending meditation than for
those who listened to a talk about mindfulness
meditation. We did not include a mindfulness
meditation condition in this study and therefore
had a mixed design with two between-subject fac-
tors (befriending, control) and two within-subject
factors (time: preintervention, postintervention).
Preintervention stage. In the preintervention
stage (Time 1), participants were asked to indicate
their political party affiliation (Democrat, Repub-
lican, independent, other, none), and answered
five items designed to assess how strongly they
identified with that party (e.g., “How important is
your identity as a Democrat to you?”; Druckman
& Levendusky, 2019). Trait mindfulness and trait
compassion were not recorded in this study.
Participants then rated Democratic and
Republican voters as well as party candidates
and elected officials on the feeling thermometer,
trait rating measure, and trust measure, as in
Study 1. Our preregistration specified that we
1586 Group Processes & Intergroup Relations 25(6)
would focus the confirmatory analysis on par-
ticipants’ ratings of each party’s voters on the
feeling thermometer, however, we decided to
collect data on all three measures (with both
voters as well as party candidates and elected
officials specified as the target) to allow for fur-
ther exploratory analyses.
Intervention stage. One week later (Time 2),
participants were invited to complete the second
part of the study in which they were randomly
assigned to one of two conditions (befriending,
control). Participants in the befriending condi-
tion listened to a 10-minute guided befriending
meditation, while those in the control condition
listened to a 10-minute talk about mindfulness
meditation. The audio clips were the same as
those played to participants in the befriending
and control conditions in Study 1.
Attention checks. In the preintervention stage,
participants were presented with an attention
check question embedded in one of the trait
rating measures, “Please click very well.” In the
second session, participants were presented with
an attention check immediately after the inter-
vention to ensure they had listened to the audio
clip. The question asked and the response options
were the same as those for Study 1. Participants
who gave the wrong answer on these questions
(n = 3) were excluded from data analyses, as were
those who failed the attention check question in
the first session (n = 21).
Manipulation check. After listening to the audio
recording to which they had been assigned, all
participants also completed a manipulation check.
The question asked and the response options
were the same as those for Study 1.
Statistical analyses. As specified in our preregistra-
tion, in this study our focal measure of affective
polarization was built using participants’ ratings
on the feeling thermometer only. Specifically, we
subtracted participants’ ratings of outgroup vot-
ers from their ratings of ingroup voters, sepa-
rately for each time point. Change scores were
then computed by calculating the difference
between Time 1 and Time 2 affective polarization
scores. An independent samples t test was con-
ducted to test our preregistered hypothesis that
participants in the befriending condition would
exhibit a greater reduction in affective polariza-
tion than those in the control condition.
Results
The results of the independent samples t test
indicated that there was a significant difference
in change scores between conditions, t(244) =
2.47, p = .014, d = 0.31. As hypothesized, there
was a greater reduction in affective polarization
for participants who completed the befriending
meditation (befriending condition: M = −6.55,
SD = 19.74) than for those who listened to the
talk about mindfulness meditation (control con-
dition: M = −0.65, SD = 17.83; see Figure 1).
This finding held when participants who failed
attention checks were not excluded (see supple-
mental material). This suggests that befriending
meditation does influence affective polarization
when the difference in feelings toward ingroup
and outgroup voters is used as the dependent
variable.
Discussion
In Study 2, our confirmatory analysis found that
a brief befriending meditation significantly
reduced affective polarization, relative to an
active control condition, as measured by the feel-
ing thermometer only. While the findings are
novel, the results are broadly in line with those
from studies that have used similar practices to
reduce prejudice and intergroup bias in other
contexts (Berger et al., 2018; Kang et al., 2014).
The results from these two studies still leave
many questions unanswered. Given that Study 1
and Study 2 used the same befriending and con-
trol conditions, it was possible to pool the data
from the two studies to increase the sample size
and allow additional exploratory analyses to be
conducted beyond the overall intervention effect
(Bangdiwala et al., 2016).
Simonsson et al. 1587
Pooling Data from Study 1 and
Study 2
We pooled the data from Study 1 and Study 2 to
answer two additional questions. The first is
whether the effect of befriending meditation on
affective polarization varies depending on the
instrument used to measure it. Study 2 showed
that befriending meditation reduces the differ-
ence in feelings toward ingroup and outgroup
voters, while (as shown in Table 1) it may have
less (or no) effect on how much members of rival
groups trust each other. The second so far unan-
swered question is whether the effect of befriend-
ing meditation on affective polarization differs
for Democrats and Republicans. While political
affiliation has not yet been investigated as a mod-
erator in meditation research, there are several
neurocognitive and personality differences across
the political spectrum that could possibly influ-
ence individual responses to meditation interven-
tions (Amodio et al., 2007; Carney et al., 2008;
Jost et al., 2003). For example, conservatives tend
to value ingroup loyalty more than liberals
(Graham et al., 2009) and may therefore respond
differently to the instructions to bring kindness
and friendship toward the various target catego-
ries (oneself, a loved one, a stranger, a difficult
person, all living beings) in a befriending
meditation.
Methods
Data from Study 1 and Study 2 were pooled to
conduct additional exploratory analyses. We
excluded participants who failed attention checks,
using the same criteria as used in the respective
study, and those from Study 1 who were assigned
to the mindfulness condition, as there was no
mindfulness condition in Study 2.
We computed change scores on each measure
of affective polarization. As in Study 1, we built a
net trait rating score for each group of voters per
participant by subtracting the sum of the negative
traits from the sum of the positive traits. We then
standardized the feeling thermometer, net trait
rating, and trust measures by linearly scaling the
ratings on each measure onto a 0 to 100 scale.
Affective polarization scores on each measure at
each time point were computed by calculating the
difference between participants’ rating of their
own party’s voters (as well as candidates and
elected officials) and their rival party’s voters (and
candidates and elected officials). Lastly, we com-
puted the change in affective polarization on each
measure by subtracting Time 1 scores from Time
2 scores.
Results
Effects of befriending meditation on different measures of
affective polarization. To test whether befriending
meditation reduced affective polarization on
some measures more than others, we entered the
change scores from all six affective polarization
measures (feeling thermometer, net trait rating,
and trust differences for voters, and candidates
and elected officials) into a 2 (target: voters, can-
didates and elected officials) x 3 (measure: feeling
thermometer, net trait rating, trust) x 2 (medita-
tion practice condition: befriending, control) x 2
(study number: 1, 2) mixed ANOVA. The target
and measure were entered as within-subject fac-
tors, while meditation practice condition and
study number were entered as between-subject
factors.
The results revealed a main effect of medita-
tion practice condition, F(1, 476) = 11.71, p =
.001, η
p
2
= .02, a main effect of the measure used
Figure 1. Change in affective polarization over time
by condition.
Note. Affective polarization is calculated by subtracting
participants’ ratings of outgroup voters on the feeling ther-
mometer from their ratings of ingroup voters. The reduction
in affective polarization was greater in the befriending condi-
tion than in the control condition.
1588 Group Processes & Intergroup Relations 25(6)
to record affective polarization, F(2, 475) = 9.86, p
< .001, η
p
2
= .04, and an interaction between
meditation practice condition and measure, F(2,
475) = 3.31, p = .037, η
p
2
= .01. The main effect
of meditation practice condition indicated that,
when collapsing the data across the other inde-
pendent variables, participants who completed the
befriending meditation exhibited a greater reduc-
tion in affective polarization (M = −4.31, SE =
0.74) than those who completed the control task
(M = −0.77, SD = 0.73). The main effect of the
measure demonstrated that, when collapsing the
data across the other independent variables, the
pre- to postintervention change scores varied
depending on which instrument was used to
record affective polarization. Post hoc Bonferroni-
corrected pairwise comparisons revealed that
change scores on the trust measure (M = −0.26,
SE = 0.76) were smaller than those on the feeling
thermometer (M = −4.29, SE = 0.81, p < .001)
and the net trait rating measure (M = −3.08, SE =
0.64, p = .003), while there was no difference
between the change scores on the feeling ther-
mometer and the net trait rating (p = .584). The
interaction between meditation practice condition
and measure was characterized by differences
between the befriending and control conditions on
the feeling thermometer change scores, F(1, 476)
= 13.64, p < .001, η
p
2
= .03, and the net trait rat-
ing change scores, F(1, 476) = 8.01, p = .005, η
p
2
= .02, but not on the trust change scores, F(1, 476)
= 0.48, p = .487, η
p
2
= .001. This suggests that
befriending meditation reduces affective polariza-
tion on the feeling thermometer and the net trait
rating but does not influence how much Democrats
and Republicans trust outgroup voters as well as
party candidates and elected officials relative to the
same ingroup targets. There was no main effect of
target (i.e., voters vs. party candidates and elected
officials), F(1, 476) = 0.93, p = .336, η
p
2
= .002,
or study number, F(1, 476) < 0.01, p = .980, η
p
2
<
.001, on affective polarization change scores. All
other two- and three-way interactions were not sig-
nificant (p values > .05). There was a marginal
four-way interaction between meditation practice
condition, measure, target, and study number, F(2,
475) = 3.02, p = .050, η
p
2
= .01.
Effects of befriending meditation on affective polarization
in Democrats and Republicans. In all previous analy-
ses, we combined data from participants who
affiliated with the Democratic Party or the
Republican Party. Here, we tested whether
befriending meditation impacts these two groups
to different extents. If so, we should observe an
interaction between meditation practice condi-
tion and participants’ political affiliation.
As the previous analysis showed that befriend-
ing meditation influenced affective polarization
on the feeling thermometer and the net trait rat-
ing but not on the trust measure, we did not
include the change scores on the trust measure in
this analysis. Entering the four change scores of
interest (pre- to postintervention changes in
affective polarization on the feeling thermometer
and the net trait rating when participants rated
voters as well as candidates and elected officials)
into a 2 (meditation practice condition: befriend-
ing, control) x 2 (political affiliation: Democrat,
Republican) x 2 (study number: 1, 2) MANOVA
revealed a main effect of meditation practice
condition, F(4, 469) = 4.69, p = .001, η
p
2
= .04,
no main effect of political affiliation, F(4, 469) =
1.06, p = .374, η
p
2
= .01, and no interaction
between meditation practice condition and politi-
cal affiliation, F(4, 469) = 0.13, p = .972, η
p
2
=
.001. This suggests that the effects of befriending
meditation on affective polarization did not vary
by political affiliation. There was also no main
effect of study number, F(4, 469) = 1.27, p =
.281, η
p
2
= .01, a marginal but not significant
interaction between meditation practice condi-
tion and study number, F(4, 469) = 2.04, p =
.088, η
p
2
= .02, and no three-way interaction,
F(4, 469) = 0.23, p = .919, η
p
2
= .002.
Discussion
Using pooled data from Study 1 and Study 2,
exploratory analyses found that the effects of a
brief befriending meditation on affective polariza-
tion did not differ between Democrats and
Republicans. The effects did, however, vary across
the measurements of affective polarization;
befriending meditation only reduced affective
Simonsson et al. 1589
polarization more than the control task on the
feeling thermometer and the net trait rating meas-
ure. The trust change scores did not vary between
conditions, which suggests that a brief befriend-
ing meditation does not necessarily decrease the
difference in trust toward the political outgroup
and ingroup. Befriending meditation does, on the
other hand, increase positive feelings toward, and
perceptions of, the political outgroup more than
the political ingroup.
General Discussion
The present research builds on previous literature
by testing whether meditation interventions can
reduce affective polarization in American adults
who affiliate with either the Democratic Party or
the Republican Party. Across two studies, we
found evidence that a brief befriending medita-
tion reduces affective polarization between
Democrats and Republicans by increasing positive
feelings and trait perceptions relatively more for
the political outgroup than the political ingroup.
While exploratory analyses found varying effects
of the befriending meditation across measure-
ments of affective polarization, the effects did not
differ between Democrats and Republicans.
Taken together, the findings in the present study
are the first to identify a causal relationship
between a brief befriending meditation and affec-
tive polarization.
While affective polarization was not signifi-
cantly associated with baseline levels of trait
compassion, a brief befriending meditation sig-
nificantly reduced affective polarization between
Democrats and Republicans. The measurement
of trait compassion evaluates compassion toward
others more generally and does not measure
intergroup feelings of compassion. It may there-
fore be less useful in understanding affective
polarization than a variable that is more specific
about intergroup feelings. For example, previous
research has shown that different types of medi-
tation can increase perceived commonality
between the self and others (Kok & Singer,
2017), which has recently also been shown to
mediate the effects of imagined intergroup
contact on affective polarization (Wojcieszak &
Warner, 2020). Future research should investigate
whether perceived commonality between the self
and the political outgroup, rather than general
feelings of compassion, might mediate the effects
of a brief befriending meditation on affective
polarization.
The results from the two studies are particu-
larly promising considering the increasing popu-
larity of meditation and the scalability of
meditation interventions. For example, between
2012 and 2017, the percentage of meditation
practitioners in the United States increased nine-
fold for children (0.6% to 5.4%) and threefold for
adults (4.1% to 14.2%; Black et al., 2018; Clarke
et al., 2018). Recent evidence also suggests that
meditation-based apps have become the most
common way of learning to meditate (Simonsson,
Fisher, & Martin, 2020), which demonstrates the
promise of meditation as a scalable intervention.
The present research project utilized a rigor-
ous research design to assess the effects of mind-
fulness and befriending meditation on affective
polarization, but there are several important
points to consider when interpreting the results.
First, the sample was not representative of the
American adult population, participants self-
selected into the study, and the study took place
during the coronavirus disease (COVID-19) out-
break. The same effects might therefore not be
present in a different sample or at a different time
point, which limits the generalizability of the
findings. Second, this research assessed the
immediate effects of 10-minute meditation inter-
ventions. As such, further empirical work is
needed to test whether changes in affective polar-
ization caused by befriending meditation are sus-
tainable over longer periods of time. We speculate
that longer, more regular practice would be
required for this intervention to generate deeper,
more lasting change. Third, both studies in this
paper utilized within-subject, repeated-measures
designs, which may introduce order effects and/
or increase demand characteristics. However, by
introducing a week-long gap between the pre-
intervention stage (in which we recorded baseline
measures) and the intervention stage (in which
1590 Group Processes & Intergroup Relations 25(6)
we applied the intervention and measured affec-
tive polarization once more), we reduced the pos-
sibility of demand characteristics that may have
resulted from participants providing responses
on the same measures twice. It is important to
note that participants may still have been able to
discern the link between the befriending medita-
tion instructions and the measures of affective
polarization. Future studies should therefore uti-
lize research designs that further minimize the
effect of demand characteristics (e.g., lagged
designs that consider the lasting effects of medi-
tation interventions).
In sum, the findings suggest that even a brief
online befriending meditation can reduce affec-
tive polarization between Democrats and
Republicans by increasing positive feelings and
trait perceptions relatively more for the outgroup
than the ingroup. The results contribute to the
existing scientific literature and provide support
for the benefits of befriending meditation in
political contexts, which opens the possibility of
a new subfield at the intersection of the contem-
plative and political sciences.
Author contributions
The first author conceptualized the study and developed
the hypotheses; The first and third authors designed and
preregistered the study; The third author analyzed the
data with assistance from the first author; the first and
third author wrote the manuscript, with inputs from the
second author; the third author supervised the study.
Ethical approval
All procedures performed involving human partici-
pants were in accordance with the ethical standards of
the 1964 Helsinki Declaration and its later amend-
ments or comparable ethical standards. The study was
approved by the Research Ethics Committee of the
Department of Sociology (DREC) at the University of
Oxford.
Funding
The author(s) disclosed receipt of the following finan-
cial support for the research, authorship, and/or publi-
cation of this article: This study was funded by
Kindness.org and the Singapore Ministry of Education
Academic Research Fund Tier 1 (T1 17/2019/115),
and by the National University of Singapore Research
Fund to J. N.
Informed consent
Informed consent was obtained from all individual
participants included in the studies.
ORCID iDs
Otto Simonsson https://orcid.org/0000-0003-4197
-7566
Joseph Marks
https://orcid.org/0000-0002-9644
-2967
Data accessibility statement
Research data and code supporting the results reported
in this paper are available on the Open Science
Framework (https://osf.io/u9m3c/).
Supplemental material
Supplemental material for this article is available online.
Note
1. Note that the attention checks in the preinterven-
tion stage were added after submission of the
preregistration.
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