Randomized trial of acceptance and commitment therapy for anxious cancer survivors in community clinics: Outcomes and moderators

OBJECTIVE

Anxiety symptoms are common among cancer survivors. This study evaluated whether an acceptance-based group intervention delivered by social workers in community oncology clinics improved anxiety and related symptoms, and healthcare use, relative to enhanced usual care (EUC).

METHOD

This multi-site trial included 135 survivors of various cancers with moderate to high anxiety about cancer/survivorship, 1.5-24 months after treatment. Participants were randomized 1:1 to a 7-session acceptance and commitment therapy (ACT)-based group (Valued Living) or EUC (access to onsite supportive care plus resource list). Questionnaires were administered at baseline, 1, 2, 5, and 8 months post-randomization, diagnostic interviews at baseline, 2, and 8 months, and healthcare use tracked throughout. Outcomes included anxiety symptoms (primary), related symptoms, and healthcare use. Putative moderators included age, anxiety, and avoidance.

RESULTS

In intent-to-treat comparisons to EUC, Valued Living (VL) showed a nonsignificant pattern of greater improvement on anxiety symptoms (p = .08), improved significantly more on cancer-related post-traumatic stress (p = .002), fear of recurrence (p = .003), and energy/fatigue (p = .02), and missed significantly fewer medical appointments (p < .05). Conditions improved similarly on depressive symptoms, sense of meaning, and most severe anxiety or depressive disorder. Effects were moderated: VL participants with higher baseline anxiety or avoidance (+1SD) improved more on anxiety, meaning (p_s ≤ .01), and disorder severity (p = .05) than their EUC counterparts.

CONCLUSIONS

An acceptance-based group intervention delivered in community oncology clinics enhanced psychological recovery and energy levels, and reduced missed medical appointments for anxious cancer survivors, with stronger effects for more distressed participants. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Avoid Cohen's 'Small', 'Medium', and 'Large' for Power Analysis

One of the most difficult and important decisions in power analysis involves specifying an effect size. Researchers frequently employ definitions of small, medium, and large that were proposed by Jacob Cohen. These definitions are problematic for two reasons. First, they are arbitrary, based on non-scientific criteria. Second, they are inconsistent, changing dramatically and illogically as a function of the statistical test a researcher plans to use (e.g., t-test versus regression). These problems may be unknown to many researchers, but they have a huge impact on power analyses. Estimates of the required n may be inappropriately doubled or cut in half. For power analyses to have any meaning, these definitions of effect size should be avoided.

New recommendations for testing indirect effects in mediational models: The need to report and test component paths

In light of current concerns with replicability and reporting false-positive effects in psychology, we examine Type I errors and power associated with 2 distinct approaches for the assessment of mediation, namely the component approach (testing individual parameter estimates in the model) and the index approach (testing a single mediational index). We conduct simulations that examine both approaches and show that the most commonly used tests under the index approach risk inflated Type I errors compared with the joint-significance test inspired by the component approach. We argue that the tendency to report only a single mediational index is worrisome for this reason and also because it is often accompanied by a failure to critically examine the individual causal paths underlying the mediational model. We recommend testing individual components of the indirect effect to argue for the presence of an indirect effect and then using other recommended procedures to calculate the size of that effect. Beyond simple mediation, we show that our conclusions also apply in cases of within-participant mediation and moderated mediation. We also provide a new R-package that allows for an easy implementation of our recommendations. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

The unappreciated heterogeneity of effect sizes: Implications for power, precision, planning of research, and replication

Repeated investigations of the same phenomenon typically yield effect sizes that vary more than one would expect from sampling error alone. Such variation is even found in exact replication studies, suggesting that it is not only because of identifiable moderators but also to subtler random variation across studies. Such heterogeneity of effect sizes is typically ignored, with unfortunate consequences. We consider its implications for power analyses, the precision of estimated effects, and the planning of original and replication research. With heterogeneity and an interest in generalizing to a population of studies, the usual power calculations and confidence intervals are likely misleading, and the preference for single definitive large-N studies is misguided. Researchers and methodologists need to recognize that effects are often heterogeneous and plan accordingly. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Rethinking the Link Between Categorization and Prejudice Within the Social Cognition Perspective

For the past 40 years, social psychological research on stereotyping and prejudice in the United States has been dominated by the social cognition perspective, which has emphasized the important role of basic categorization processes in intergroup dynamics. An inadvertent consequence of this approach has been a disproportionate focus on social categorization as a causal factor in intergroup animosity and, accordingly, an emphasis on approaches that minimize category distinctions as the solution to intergroup conflict. Though recognizing the crucial function of categorization, we question existing support for the hypothesis that the perception of strong group differences necessarily results in greater intergroup bias. Given that it is neither feasible nor ultimately desirable to imagine that social categories can be eliminated, we suggest that a more useful approach is one that promotes intergroup harmony even while recognizing and valuing the distinctions that define our social world.

Cross-National Outgroup Homogeneity: United States and South African Stereotypes

Research on cross-national stereotypes has been largely descriptive, primarily examining the content of such stereotypes rather than exploring more process-related issues concerning stereotype formation, use, and change. One particular component of stereotypes that has implications for these issues is the perceived variability of social categories. In this article we report data from white United States and South African samples on the perceived variability of both groups. We find consistent support for the outgroup homogeneity effect in these data, that is, the tendency to see outgroups as less variable than ingroups. Additionally, we show that the perception of outgroup variability is negatively related to ethnocentrism or the tendency to engage in outgroup derogation. Finally, we explore whether outgroup familiarity and knowledge moderate these effects.

Additive and Interactive Models of Crossed Categorization in Correlated Social Categories

The effects of crossed categorization on intergroup judgments have been the subject of considerable theoretical and empirical interest. A variety of alternative theoretical models have been proposed and examined in earlier research. The present study differs from those reported previously in that it focused on correlated social categorizations. Moreover it employed a large and broadly representative sample. This permitted us to examine the various theoretical models with considerable power. Results supported a largely additive model, in which out-group categorizations independently contributed to out-group derogation. Additionally, a number of weaker category interactions suggested that in-group membership on one dimension was of greater importance if the target person was an in-group member on other categorizations as well. Finally, somewhat different effects were found for the two dependent variables employed, liking and perceived similarity. Results are more in accordance with social identity theory and the similarity-attraction hypothesis than with Doise's category differentiation model.

Intergroup Contact: Effects on Group Evaluations and Perceived Variability

We argue that the two different components of group perceptions, namely group evaluations and perceptions of group variability, are affected by intergroup contact in rather different ways. Consistent with considerable existing research in the contact literature, we show that intergroup contact results in more positive target group evaluations, so long as the contact is cooperative and relatively pleasant. On the other hand, consistent with laboratory work in stereotype change, we show that changes in perceptions of group variability as a function of contact occur only when the contact is with someone who disconfirms the group stereotype but who is nevertheless regarded as typical of the group.

Perceiving political polarization in the United States: party identity strength and attitude extremity exacerbate the perceived partisan divide

An important component of political polarization in the United States is the degree to which ordinary people perceive political polarization. We used over 30 years of national survey data from the American National Election Study to examine how the public perceives political polarization between the Democratic and Republican parties and between Democratic and Republican presidential candidates. People in the United States consistently overestimate polarization between the attitudes of Democrats and Republicans. People who perceive the greatest political polarization are most likely to report having been politically active, including voting, trying to sway others' political beliefs, and making campaign contributions. We present a 3-factor framework to understand ordinary people's perceptions of political polarization. We suggest that people perceive greater political polarization when they (a) estimate the attitudes of those categorized as being in the "opposing group"; (b) identify strongly as either Democrat or Republican; and (c) hold relatively extreme partisan attitudes-particularly when those partisan attitudes align with their own partisan political identity. These patterns of polarization perception occur among both Democrats and Republicans.

Measuring intergroup ideologies: positive and negative aspects of emphasizing versus looking beyond group differences

Research on interethnic relations has focused on two ideologies, asking whether it is best to de-emphasize social-category differences (colorblind) or emphasize and celebrate differences (multicultural). We argue each of these can manifest with negative outgroup evaluations: Assimilationism demands that subordinate groups adopt dominant group norms to minimize group distinctions; segregationism holds that groups should occupy separate spheres. Parallel versions can be identified for intergender relations. Scales to measure all four ideologies are developed both for ethnicity (Studies 1 and 2) and gender (Studies 3 and 4). Results demonstrate that the ideologies can be reliably measured, that the hypothesized four-factor models are superior to alternative models with fewer factors, and that the ideologies relate as predicted to the importance ascribed to group distinctions, subordinate group evaluations, and solution preferences for intergroup conflict scenarios. We argue that this fourfold model can help clarify theory and measurement, allowing a more nuanced assessment of ideological attitudes.

Replicating Studies in Which Samples of Participants Respond to Samples of Stimuli

In a direct replication, the typical goal is to reproduce a prior experimental result with a new but comparable sample of participants in a high-powered replication study. Often in psychology, the research to be replicated involves a sample of participants responding to a sample of stimuli. In replicating such studies, we argue that the same criteria should be used in sampling stimuli as are used in sampling participants. Namely, a new but comparable sample of stimuli should be used to ensure that the original results are not due to idiosyncrasies of the original stimulus sample, and the stimulus sample must often be enlarged to ensure high statistical power. In support of the latter point, we discuss the fact that in experiments involving samples of stimuli, statistical power typically does not approach 1 as the number of participants goes to infinity. As an example of the importance of sampling new stimuli, we discuss the bygone literature on the risky shift phenomenon, which was almost entirely based on a single stimulus sample that was later discovered to be highly unrepresentative. We discuss the use of both resampled and expanded stimulus sets, that is, stimulus samples that include the original stimuli plus new stimuli.

Categorisation salience and ingroup bias: the buffering role of a multicultural ideology

The current work sought to test the moderating role of a multicultural ideology on the relationship between categorisation salience and ingroup bias. Accordingly, in one experimental study, we manipulated categorisation salience and the accessibility of a multicultural ideology, and measured intergroup attitudes. Results show that categorisation salience only leads to ingroup bias when a multiculturalism (MC) ideology is not made salient. Thus, MC ideology attenuates the negative effects of categorisation salience on ingroup bias. These results pertain to social psychology in general showing that the cognitive processes should be construed within the framework of ideological contexts.

Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli

Researchers designing experiments in which a sample of participants responds to a sample of stimuli are faced with difficult questions about optimal study design. The conventional procedures of statistical power analysis fail to provide appropriate answers to these questions because they are based on statistical models in which stimuli are not assumed to be a source of random variation in the data, models that are inappropriate for experiments involving crossed random factors of participants and stimuli. In this article, we present new methods of power analysis for designs with crossed random factors, and we give detailed, practical guidance to psychology researchers planning experiments in which a sample of participants responds to a sample of stimuli. We extensively examine 5 commonly used experimental designs, describe how to estimate statistical power in each, and provide power analysis results based on a reasonable set of default parameter values. We then develop general conclusions and formulate rules of thumb concerning the optimal design of experiments in which a sample of participants responds to a sample of stimuli. We show that in crossed designs, statistical power typically does not approach unity as the number of participants goes to infinity but instead approaches a maximum attainable power value that is possibly small, depending on the stimulus sample. We also consider the statistical merits of designs involving multiple stimulus blocks. Finally, we provide a simple and flexible Web-based power application to aid researchers in planning studies with samples of stimuli.

Power Anomalies in Testing Mediation

Two rather surprising anomalies relating to statistical power occur in testing mediation. First, in a model with no direct effect for which the total effect and indirect effect are identical, the power for the test of the total effect can be dramatically smaller than the power for the test of the indirect effect. Second, when there is a direct effect of a causal variable on the outcome controlling for the mediator, the power of the test of the indirect effect is often considerably greater than the power of the test of the direct effect, even when the two are of the same magnitude. We try to explain the reasons for these anomalies and how they affect practice.

Awareness of implicit attitudes

Research on implicit attitudes has raised questions about how well people know their own attitudes. Most research on this question has focused on the correspondence between measures of implicit attitudes and measures of explicit attitudes, with low correspondence interpreted as showing that people have little awareness of their implicit attitudes. We took a different approach and directly asked participants to predict their results on upcoming Implicit Association Test (IAT) measures of implicit attitudes toward 5 social groups. We found that participants were surprisingly accurate in their predictions. Across 4 studies, predictions were accurate regardless of whether implicit attitudes were described as true attitudes or culturally learned associations (Studies 1 and 2), regardless of whether predictions were made as specific response patterns (Study 1) or as conceptual responses (Studies 2-4), and regardless of how much experience or explanation participants received before making their predictions (Study 4). Study 3 further suggested that participants' predictions reflected unique insight into their own implicit responses, beyond intuitions about how people in general might respond. Prediction accuracy occurred despite generally low correspondence between implicit and explicit measures of attitudes, as found in prior research. Altogether, the research findings cast doubt on the belief that attitudes or evaluations measured by the IAT necessarily reflect unconscious attitudes.

Sleep impairment, mood symptoms, and psychosocial functioning in adolescent bipolar disorder

Few empirical studies have investigated the role of sleep impairment in the course of adolescent bipolar spectrum disorders (BSD). The present study examined the longitudinal associations between sleep disruption, mood symptom severity, and psychosocial functioning in a 2-year follow-up of patients with adolescent BSD. Fifty-three adolescents with BSD (mean [S.D.] age: 14.6 [1.6]) participated in a two-site randomized trial of family focused treatment for adolescents (FFT-A) or enhanced care, a briefer psychoeducational treatment; both treatments were administered with pharmacotherapy. Sleep disturbance was assessed with the Adolescent Sleep Habits Questionnaire (ASHQ) filled out by patients every 6 weeks in the first study year and every 3 months in the second year. Main outcomes included clinician-rated measures of mania, depression and psychosocial impairment over 2 years. Sleep impairment was significantly associated with mania and depression severity scores and psychosocial impairment ratings across the 2-year follow-up. Despite its efficaciousness in reducing mood symptoms, FFT-A was not more effective than enhanced care in improving sleep habits. Sleep impairment may play a substantial role in the course of adolescent BSD. Youth with BSDs may benefit from targeted psychosocial interventions that emphasize sleep regularity.

Family functioning and the course of adolescent bipolar disorder

The symptoms of bipolar disorder affect and are affected by the functioning of family environments. Little is known, however, about the stability of family functioning among youth with bipolar disorder as they cycle in and out of mood episodes. This study examined family functioning and its relationship to symptoms of adolescent bipolar disorder, using longitudinal measures of family cohesion, adaptability, and conflict. Parent- and adolescent-reported symptom and family functioning data were collected from 58 families of adolescents with bipolar disorder (mean age =14.48±1.60; 33 female, 25 male) who participated in a 2-year randomized trial of family-focused treatment for adolescents (FFT-A). Cohesion and adaptability scores did not significantly change over the course of the study. Parent-reported conflict prior to psychosocial treatment moderated the treatment responses of families, such that high-conflict families participating in FFT-A demonstrated greater reductions in conflict over time than low-conflict families. Moreover, adolescent mania symptoms improved more rapidly in low-conflict than in high-conflict families. For all respondents, cohesion, adaptability, and conflict were longitudinally correlated with adolescents' depression scores. Finally, decreases in parent-reported conflict also predicted decreases in adolescents' manic symptoms over the 2-year study. Findings suggest that family cohesion, adaptability, and conflict may be useful predictors of the course of adolescent mood symptoms. Family conflict may be an important target for family intervention in early onset bipolar disorder.

Measurement Invariance of the Beck Depression Inventory–Second Edition (BDI-II) Across Gender, Race, and Ethnicity in College Students

Measurement invariance of the Beck Depression Inventory–Second Edition (BDI-II) across gender, race, and ethnic groups was evaluated in a large sample of college students, using pooled data from 11 universities from diverse geographical regions in the United States ( N = 7,369). Confirmatory factor analysis was used to test the fit of several possible factor structures, and the results from these analyses indicated that the BDI-II was most adequately represented by a hierarchical four-factor structure, composed of three first-order factors and one second-order factor. Results based on analyses of covariance structures indicated there was factorial invariance for this hierarchical four-factor structure across groups, suggesting that the BDI-II provides an assessment of severity of depressive symptoms that is equivalent across gender, race, and ethnicity in college students.

Political polarization projection: social projection of partisan attitude extremity and attitudinal processes

What influences perceptions of political polarization? The authors examine the polarization of people's own political attitudes as a source of perceived polarization: Individuals with more extreme partisan attitudes perceive greater polarization than individuals with less extreme partisan attitudes. This "polarization projection" was demonstrated in 3 studies in which people estimated the distribution of others' political attitudes: one study with a nationally representative sample concerning the 2008 presidential election, and 2 studies concerning university students evaluating a policy regarding scarce resource allocation. These studies demonstrate that polarization projection occurs simultaneously with and independently of simple projection, the tendency to assume that others share one's partisan political attitudes. Polarization projection may occur partly because people assume that others engage in similar attitudinal processes as the self, such as extensive thought and emotional arousal. The projection of various attitudinal processes was demonstrated in a study concerning health care reform policies. Further supporting this explanation, polarization projection increased when people introspected about their own attitudinal processes, which increased the accessibility of those processes. Implications for perceptions of partisanship, social judgment, and civic behavior are discussed.

Using Community Data to Test the Discriminate Validity of Ethnic/Racial Group IATs

The present study used a multi-method, multi-measure, multi-group approach to investigate the discriminant validity of prejudice-related IATs. Community members from three ethnic/racial groups in the U.S. completed IATs and explicit measures of attitudes toward African Americans and Latinos, with Whites used as the comparison group. The results of this study provided strong support for the discriminant validity of the IATs by showing, (a) expected patterns of variation among the three participant groups that were unique to each IAT, (b) unique relations between responses on each IAT and corresponding (same-group) explicit measures of prejudice, and (c) invariance across the three participant groups in the degree to which the attitude measures loaded on two latent factors, indicating distinct attitudes toward African Americans and Latinos.

Stereotyping based on voice in the presence of individuating information: vocal femininity affects perceived competence but not warmth

In two experiments the authors examined the effect of vocal cues on warmth and competence judgments when other competing information was concurrently available. In Experiment 1, using male and female speakers posing as job applicants, the authors investigated how applicants' vocal cues and résumé information impacted judgments of competence and warmth. Results showed competence was solely affected by vocal femininity-applicants with masculine voices were rated as more competent than applicants with feminine voices, regardless of applicant gender or résumé information. Warmth was predominantly affected by résumés-applicants with feminine résumés were rated as warmer than applicants with masculine résumés. In Experiment 2, the potent effect of vocal femininity on competence was replicated even under conditions where the competing background information was directly diagnostic of warmth and competence. Furthermore, the authors found that the impact of vocal femininity on competence was largely due to the overlap between perceptions of vocal femininity and babyishness.

Category Boundaries Can Be Accentuated Without Increasing Intergroup Bias

Two studies tested whether the boundaries separating groups could be strengthened without increasing intergroup bias. Using a modified minimal group paradigm, the salience of the group distinction was manipulated through instructions that either called attention to the division between the two groups (high salience), or to dimensions orthogonal to group boundaries (low salience). High salience increased both perceived differences between the groups and perceived similarities within the groups. Moreover, participants demonstrated classic intergroup bias, expressing a preference for the ingroup over the outgroup. Critically, however, the magnitude of intergroup bias was not greater in the high salience condition. Study 2 replicated these effects using real groups with a preexisting stereotype. The results suggest that models of prejudice reduction need not rely on minimization of perceived group boundaries in order to be effective.

Reduction of opioid withdrawal and potentiation of acute opioid analgesia by systemic AV411 (ibudilast)

Morphine-induced glial proinflammatory responses have been documented to contribute to tolerance to opioid analgesia. Here, we examined whether drugs previously shown to suppress glial proinflammatory responses can alter other clinically relevant opioid effects; namely, withdrawal or acute analgesia. AV411 (ibudilast) and minocycline, drugs with distinct mechanisms of action that result in attenuation of glial proinflammatory responses, each reduced naloxone-precipitated withdrawal. Analysis of brain nuclei associated with opioid withdrawal revealed that morphine altered expression of glial activation markers, cytokines, chemokines, and a neurotrophic factor. AV411 attenuated many of these morphine-induced effects. AV411 also protected against spontaneous withdrawal-induced hyperactivity and weight loss recorded across a 12-day timecourse. Notably, in the spontaneous withdrawal study, AV411 treatment was delayed relative to the start of the morphine regimen so to also test whether AV411 could still be effective in the face of established morphine dependence, which it was. AV411 did not simply attenuate all opioid effects, as co-administering AV411 with morphine or oxycodone caused three-to-five-fold increases in acute analgesic potency, as revealed by leftward shifts in the analgesic dose response curves. Timecourse analyses revealed that plasma morphine levels were not altered by AV411, suggestive that potentiated analgesia was not simply due to prolongation of morphine exposure or increased plasma concentrations. These data support and extend similar potentiation of acute opioid analgesia by minocycline, again providing converging lines of evidence of glial involvement. Hence, suppression of glial proinflammatory responses can significantly reduce opioid withdrawal, while improving analgesia.

Proinflammatory cytokines oppose opioid-induced acute and chronic analgesia

Spinal proinflammatory cytokines are powerful pain-enhancing signals that contribute to pain following peripheral nerve injury (neuropathic pain). Recently, one proinflammatory cytokine, interleukin-1, was also implicated in the loss of analgesia upon repeated morphine exposure (tolerance). In contrast to prior literature, we demonstrate that the action of several spinal proinflammatory cytokines oppose systemic and intrathecal opioid analgesia, causing reduced pain suppression. In vitro morphine exposure of lumbar dorsal spinal cord caused significant increases in proinflammatory cytokine and chemokine release. Opposition of analgesia by proinflammatory cytokines is rapid, occurring < or =5 min after intrathecal (perispinal) opioid administration. We document that opposition of analgesia by proinflammatory cytokines cannot be accounted for by an alteration in spinal morphine concentrations. The acute anti-analgesic effects of proinflammatory cytokines occur in a p38 mitogen-activated protein kinase and nitric oxide dependent fashion. Chronic intrathecal morphine or methadone significantly increased spinal glial activation (toll-like receptor 4 mRNA and protein) and the expression of multiple chemokines and cytokines, combined with development of analgesic tolerance and pain enhancement (hyperalgesia, allodynia). Statistical analysis demonstrated that a cluster of cytokines and chemokines was linked with pain-related behavioral changes. Moreover, blockade of spinal proinflammatory cytokines during a stringent morphine regimen previously associated with altered neuronal function also attenuated enhanced pain, supportive that proinflammatory cytokines are importantly involved in tolerance induced by such regimens. These data implicate multiple opioid-induced spinal proinflammatory cytokines in opposing both acute and chronic opioid analgesia, and provide a novel mechanism for the opposition of acute opioid analgesia.

Compensation Versus Halo: The Unique Relations Between the Fundamental Dimensions of Social Judgment

Recent work on the relations between the two dimensions of social judgment, that is, warmth and competence, evidenced compensation such that a group seen more positively than another group on one dimension is seen less positively on the second. The authors examine the status of this compensatory relation by introducing a third dimension in the judgment context. Experiment 1 extends earlier work in a different population, comparing compensation as a function of whether warmth or competence is manipulated and competence or warmth is the unmanipulated dimension. Experiments 2 and 3 use healthiness as the unmanipulated dimension and reveal the presence of halo rather than compensation between warmth or competence on one hand and healthiness on the other. These findings suggest that compensation may not only stem from a concern for distributive justice but may also derive from the unique structural and functional relations between the two fundamental dimensions of social judgment.

Adjusting for a Mediator in Models With Two Crossed Treatment Variables

In a simple mediation model, the effect of a manipulated variable X on a dependent variable Y over and above the effect of the mediator Me can be estimated by regressing Y on X and Me. The impact of X on Y in such a model is adjusted for the relationship both between X and Me and between Me and Y. The authors examine the adjustment function in the context of a 2 × 2 design with two manipulated variables. In such a situation, the mediator could be affected by either one of the main effects and/or the interaction between two manipulated variables. To adjust for the impact of the mediator, a standard procedure has been to rely on an ANCOVA that includes only the mediator. The authors show, both analytically and with simulations, that this leads to improper control of the mediator and to biased estimates of the model parameters.

Across the thin blue line: police officers and racial bias in the decision to shoot

Police officers were compared with community members in terms of the speed and accuracy with which they made simulated decisions to shoot (or not shoot) Black and White targets. Both samples exhibited robust racial bias in response speed. Officers outperformed community members on a number of measures, including overall speed and accuracy. Moreover, although community respondents set the decision criterion lower for Black targets than for White targets (indicating bias), police officers did not. The authors suggest that training may not affect the speed with which stereotype-incongruent targets are processed but that it does affect the ultimate decision (particularly the placement of the decision criterion). Findings from a study in which a college sample received training support this conclusion.

What the voice reveals: within- and between-category stereotyping on the basis of voice

The authors report research that attempts to shift the traditional focus of visual cues to auditory cues as a basis for stereotyping. Moreover, their approach examines whether gender-signaling vocal cues lead not only to between-category but also to within-category gender stereotyping. Study 1 showed that both men and women vary within category in how feminine their voices sound and that perceptions of vocal femininity are highly consensual. Furthermore, the measured acoustic characteristics that differed between gender were also related to perceptions of within-gender femininity. Subsequent studies demonstrated that variability in vocal femininity affects gender stereotyping when the targets are all of the same gender (Study 2) and when the targets are of different genders (Study 3). In the latter case, evidence of both category-based and feature-based stereotyping was found. Mediation analyses showed that the relationship between acoustics and stereotyping was in part due to femininity.

When moderation is mediated and mediation is moderated

Procedures for examining whether treatment effects on an outcome are mediated and/or moderated have been well developed and are routinely applied. The mediation question focuses on the intervening mechanism that produces the treatment effect. The moderation question focuses on factors that affect the magnitude of the treatment effect. It is important to note that these two processes may be combined in informative ways, such that moderation is mediated or mediation is moderated. Although some prior literature has discussed these possibilities, their exact definitions and analytic procedures have not been completely articulated. The purpose of this article is to define precisely both mediated moderation and moderated mediation and provide analytic strategies for assessing each.

Fundamental dimensions of social judgment: understanding the relations between judgments of competence and warmth

In seems there are two dimensions that underlie most judgments of traits, people, groups, and cultures. Although the definitions vary, the first makes reference to attributes such as competence, agency, and individualism, and the second to warmth, communality, and collectivism. But the relationship between the two dimensions seems unclear. In trait and person judgment, they are often positively related; in group and cultural stereotypes, they are often negatively related. The authors report 4 studies that examine the dynamic relationship between these two dimensions, experimentally manipulating the location of a target of judgment on one and examining the consequences for the other. In general, the authors' data suggest a negative dynamic relationship between the two, moderated by factors the impact of which they explore.