Type A personality, self-control, and vulnerability to stress

Type A behavior (hard-driving, competitive, time-urgent, hostile-irritable) has been linked to high stress levels and the risk of eventual cardiovascular problems (i.e., coronary heart disease, CHD). However, this pattern of behavior closely resembles the traditional masculine instrumental (goal-oriented) orientation, and, if kept within limits, may be viewed as adaptive in success-oriented, middle-class college students. Hypothetically then, Type A behavior may be displayed by a broad group of individuals, and only in those cases when it is allowed to reach extreme proportions is stress sufficient enough to confer risk. This article considers two lines of reasoning. Is greater self-control required for college women to be Type As, because it involves crossing into traditional male role behavior? Type A women displayed significantly better self-control then Type B women; the opposite result was disclosed for college men with Type As displaying poorer self-control than Type Bs. The question of whether risk-conferring Type A behavior would result from poorer self-control was answered in the affirmative. Self-control assumed moderator status; poorer self-control in both male and female Type As was associated with high levels of day-to-day stress relative to Type As with better self-control. Self-control did not influence stress level in Type Bs. This moderator effect suggests that only Type As who cannot contain their behavior within adaptive limits will be vulnerable to excessive stress and at risk for CHD.     

Heterogeneous heterogeneity by default: Testing categorical moderators in mixed-effects meta-analysis

Categorical moderators are often included in mixed-effects meta-analysis to explain heterogeneity in effect sizes. An assumption in tests of categorical moderator effects is that of a constant between-study variance across all levels of the moderator. Although it rarely receives serious thought, there can be statistical ramifications to upholding this assumption. We propose that researchers should instead default to assuming unequal between-study variances when analysing categorical moderators. To achieve this, we suggest using a mixed-effects location-scale model (MELSM) to allow group-specific estimates for the between-study variance. In two extensive simulation studies, we show that in terms of Type I error and statistical power, little is lost by using the MELSM for moderator tests, but there can be serious costs when an equal variance mixed-effects model (MEM) is used. Most notably, in scenarios with balanced sample sizes or equal between-study variance, the Type I error and power rates are nearly identical between the MEM and the MELSM. On the other hand, with imbalanced sample sizes and unequal variances, the Type I error rate under the MEM can be grossly inflated or overly conservative, whereas the MELSM does comparatively well in controlling the Type I error across the majority of cases. A notable exception where the MELSM did not clearly outperform the MEM was in the case of few studies (e.g., 5). With respect to power, the MELSM had similar or higher power than the MEM in conditions where the latter produced non-inflated Type 1 error rates. Together, our results support the idea that assuming unequal between-study variances is preferred as a default strategy when testing categorical moderators.     

Type A behavior and stress in college males

Substantial inconsistency can be noted among studies that have considered the relationship between Type A status and subsequent cardiac pathology. This erratic prediction pattern could be partially explained by the failure to consider level of stress in Type As, because only Type As that experience excessive and sustained stress should be at special risk. A stress-vulnerability model for young Type A college students was proposed involving selected Type A characteristics and other personality moderator variables serving to elicit, augment, and sustain stress. We considered self-preoccupation as a stress moderator in Type A college males and found evidence that it serves this function. Self-preoccupied Type As reported excessive stress over the previous year, whereas less self-centered Type As did not. Self-preoccupation was of no importance in moderating stress in Type Bs.     

Type A Behavior and Stress in College Males

Substantial inconsistency can be noted among studies that have considered the relationship between Type A status and subsequent cardiac pathology. This erratic prediction pattern could be partially explained by the failure to consider level of stress in Type As, because only Type As that experience excessive and sustained stress should be at special risk. A stress-vulnerability model for young Type A college students was proposed involving selected Type A characteristics and other personality moderator variables serving to elicit, augment, and sustain stress. We considered self-preoccupation as a stress moderator in Type A college males and found evidence that k serves this function. Self-preoccupied Type As reported excessive stress over the previous year, whereas less self-centered Type As did not. Self-preoccupation was of no importance in moderating stress in Type Bs.     

Gender Role Ideology as a Moderator of the Relationship between Social Power Tactics and Marital Satisfaction

The study examined whether the Power Interaction Model is applicable for explaining the choice of power tactics in conflict situations among Israeli married couples. In addition, gender role ideology was tested as a moderator of the relationship between power usage and marital satisfaction. Seventy-eight couples reported on self usage and spouse’s usage of power tactic behaviors during conflicts and completed questionnaires assessing marital satisfaction, gender role ideology (traditional, liberal) and demographics. Findings indicated greater agreement within couples for harsh rather than for soft tactic preference. As expected, preference for harsh tactics was associated with lower marital satisfaction yet gender role ideology moderated this association. The role of conflict and power usage in traditional and liberal families was addressed.     

童年环境、生命史策略对消费行为的影响——传统价值观“团结和谐”维度的调节作用

从进化心理学生命史理论视角探究童年环境和典型消费行为的关系。通过专项问卷调查收集1028个有效样本进行实证研究,证实童年环境的核心变量——童年社会经济地位显著影响成年后的绿色消费和炫耀性消费行为,生命史策略和"团结和谐"的传统价值观维度在其中分别起显著的中介和调节作用。研究有助于理解炫耀攀比、奢侈浪费等非理性消费的深层原因,并从生命史和价值观角度提供可能的解决思路,为大众培养健康理性消费提供借鉴。     

A note on Type S/M errors in hypothesis testing

Motivated by the recent replication and reproducibility crisis, Gelman and Carlin (2014, Perspect. Psychol. Sci., 9, 641) advocated focusing on controlling for Type S/M errors, instead of the classic Type I/II errors, when conducting hypothesis testing. In this paper, we aim to fill several theoretical gaps in the methodology proposed by Gelman and Carlin (2014, Perspect. Psychol. Sci., 9, 641). In particular, we derive the closed-form expression for the expected Type M error, and study the mathematical properties of the probability of Type S error as well as the expected Type M error, such as monotonicity. We demonstrate the advantages of our results through numerical and empirical examples.     

Empirical support for a Type A belief system

Much of the research on Type A behavior has focused on overt manifestations of the pattern; consequently, the underlying psychological dimensions are poorly understood (Matthews, 1982). Price (1982) has proposed an elaborate, but empirically unvalidated, model suggesting that a specific set of beliefs underlies the Type A behavior pattern. A series of experiments was conducted to test the validity of Price's model and to develop a device for assessing these beliefs. The internal consistency and test-retest reliability of this measure were .94 and .84, respectively. Significant positive correlations were found with traditional measures of Type A behavior as well as various facets of anger and anxiety. Finally, subjects who endorsed a high degree of Type A beliefs set significantly higher performance standards and were less likely to achieve these standards than their low-scoring counterparts. Results are discussed with regard to the theoretical construct of Type A as well as their implications for future research and treatment.This research is an extension of a study presented at the 92nd meeting of the American Psychological Association, Toronto, Canada, August 1984Special thanks to to Drs. James A. Blumenthal, Martin T. Gipson, Abby C. King, and Ellie T. Sturgis for their helpful comments in the preparation of this article.     

Testing equivalence with repeated measures: tests of the difference model of two-alternative forced-choice performance

Solving theoretical or empirical issues sometimes involves establishing the equality of two variables with repeated measures. This defies the logic of null hypothesis significance testing, which aims at assessing evidence against the null hypothesis of equality, not for it. In some contexts, equivalence is assessed through regression analysis by testing for zero intercept and unit slope (or simply for unit slope in case that regression is forced through the origin). This paper shows that this approach renders highly inflated Type I error rates under the most common sampling models implied in studies of equivalence. We propose an alternative approach based on omnibus tests of equality of means and variances and in subject-by-subject analyses (where applicable), and we show that these tests have adequate Type I error rates and power. The approach is illustrated with a re-analysis of published data from a signal detection theory experiment with which several hypotheses of equivalence had been tested using only regression analysis. Some further errors and inadequacies of the original analyses are described, and further scrutiny of the data contradict the conclusions raised through inadequate application of regression analyses.     

Personality Moderating Variables: A Warning about Statistical Artifact and a Comparison of Analytic Techniques

ABSTRACT Personality moderating variables act to qualify the relationship between a personality trait measure and a relevant behavioral criterion. Two data analytic techniques that can be used to test for significant moderating effects are the "median split" (MS) approach and the "moderated multiple regression" (MMR) approach. The goals of the present research were ( a ) to apply the MS approach to computer-simulated data in which the moderator and trait extremity are confounded, to determine the extent of artifact, and ( b ) to compare the performance (Type I and Type II error rates) of the two approaches when applied to confounded and nonconfounded data. It was found that when the MS approach was applied to confounded data in which no real moderating effect existed, this approach produced an alarming rate of apparent, but spurious, moderating effects. When the MMR approach was applied to the same data, the rate of spurious effects was reduced to that expected by chance. When both approaches were applied to simulated data which contained genuine moderating effects, the MMR approach consistently resulted in more correct detections of these effects than the MS approach. We conclude that researchers should always employ the MMR rather than the MS approach when testing for personality moderator variable effects.     

Assessing moderated mediation in linear models requires fewer confounding assumptions than assessing mediation

It is well known from the mediation analysis literature that the identification of direct and indirect effects relies on strong no unmeasured confounding assumptions of no unmeasured confounding. Even in randomized studies the mediator may still be correlated with unobserved prognostic variables that affect the outcome, in which case the mediator's role in the causal process may not be inferred without bias. In the behavioural and social science literature very little attention has been given so far to the causal assumptions required for moderated mediation analysis. In this paper we focus on the index for moderated mediation, which measures by how much the mediated effect is larger or smaller for varying levels of the moderator. We show that in linear models this index can be estimated without bias in the presence of unmeasured common causes of the moderator, mediator and outcome under certain conditions. Importantly, one can thus use the test for moderated mediation to support evidence for mediation under less stringent confounding conditions. We illustrate our findings with data from a randomized experiment assessing the impact of being primed with social deception upon observer responses to others’ pain, and from an observational study of individuals who ended a romantic relationship assessing the effect of attachment anxiety during the relationship on mental distress 2 years after the break‐up.     

Efficiently measuring recognition performance with sparse data

We examine methods for measuring performance in signal-detection-like tasks when each participant provides only a few observations. Monte Carlo simulations demonstrate that standard statistical techniques applied to ad’ analysis can lead to large numbers of Type I errors (incorrectly rejecting a hypothesis of no difference). Various statistical methods were compared in terms of their Type I and Type II error (incorrectly accepting a hypothesis of no difference) rates. Our conclusions are the same whether these two types of errors are weighted equally or Type I errors are weighted more heavily. The most promising method is to combine an aggregated’ measure with a percentile bootstrap confidence interval, a computerintensive nonparametric method of statistical inference. Researchers who prefer statistical techniques more commonly used in psychology, such as a repeated measurest test, should useγ (Goodman & Kruskal, 1954), since it performs slightly better than or nearly as well asd’. In general, when repeated measurest tests are used,γ is more conservative thand’: It makes more Type II errors, but its Type I error rate tends to be much closer to that of the traditional .05 α level. It is somewhat surprising thatγ performs as well as it does, given that the simulations that generated the hypothetical data conformed completely to thed’ model. Analyses in which H—FA was used had the highest Type I error rates. Detailed simulation results can be downloaded fromwww.psychonomic.org/archive/Schooler-BRM-2004.zip.     

Effects of predictor intercorrelations and reliabilities on moderated multiple regression

Results of Monte Carlo simulation suggest that detection of moderator effects in moderated multiple regression is hampered by poor reliability in either the independent variable, x, or the moderator variable, w. This finding was anticipated from the fact that reliability of a product term, xw, is determined in part by the product of the reliabilities of its constituents. An interesting finding was that the probability of detection of a product (interaction) term increases as the correlation between x and w increases; it is known that the reliability of a product term increases similarly. An unexpected finding was the inflated probabilities of Type I errors that occurred for direct effects of x or w when they were not directly related to the criterion in the underlying model. Detection of spurious direct effects was exacerbated by increased correlation between x and w. It is clear that moderated multiple regression is adversely affected by measurement error, but that the impact is complex. It is apparent that researchers in this area must strive to improve the reliabilities of predictor variables if they are to have a reasonable chance of discovering moderator effects.     

Goal utility, task satisfaction, and the self-appraisal hypothesis of type A behavior

Strube's (1987) self-appraisal model of Type A behavior suggests that externally mediated performance goals that are useful for assessing task-related competencies will possess greater utility and be more satisfying to Type A persons than to Type B persons. In contrast, because Type Bs may have an aversion to competency verifications, they should be more satisfied than Type As when goals are uninformative about task-related competencies. The 102 undergraduate Ss performed either a word puzzle or proofreading task under 1 of 4 goal conditions that varied in terms of the goal's instrumentality for assessing competencies and for obtaining a financial incentive. Results are generally consistent with this prediction, thereby providing verification for one of the more basic propositions derived from the self-appraisal model.     

Comparison of Common Amplitude Metrics in Event-Related Potential Analysis

Abstract

Waveform data resulting from time-intensive longitudinal designs require careful treatment. In particular, the statistical properties of summary metrics in this area are crucial. We draw on event-related potential (ERP) studies, a field with a relatively long history of collecting and analyzing such data, to illustrate our points. In particular, three summary measures for a component in the average ERP waveform feature prominently in the literature: the maximum (or peak amplitude), the average (or mean amplitude) and a combination (or adaptive mean). We discuss the methodological divide associated with these summary measures. Through both analytic work and simulation study, we explore the properties (e.g., Type I and Type II errors) of these competing metrics for assessing the amplitude of an ERP component across experimental conditions. The theoretical and simulation-based arguments in this article illustrate how design (e.g., number of trials per condition) and analytic (e.g., window location) choices affect the behavior of these amplitude summary measures in statistical tests and highlight the need for transparency in reporting the analytic steps taken. There is an increased need for analytic tools for waveform data. As new analytic methods are developed to address these time-intensive longitudinal data, careful treatment of the statistical properties of summary metrics used for null hypothesis testing is crucial.     

Type A as a Moderator of Stressors and Job Complexity: A Comparison of Achievement Strivings and Impatience-Irritability

This study examined two components (achievement strivings and impatience-irritability) of the Type A Behavior Pattern as moderators of job stressors and job complexity on health and job satisfaction. It was predicted that achievement strivings would moderate the impact of job stressors and impatience-irritability would impact responses to job complexity. Data from 525 employed adults provided mixed support for the moderator hypotheses. Relations between job stressors and both health and job satisfaction were strongest among employees reporting high levels of achievement strivings. Impatience-irritability had no moderating effect. For job complexity, only one moderator effect was found. Mental demands were positively related to job satisfaction among those reporting low levels of impatience-irritability. Implications of these findings are discussed.     

Type A, locus of control, and stress: another case in point

It has been recommended that a stress measure be included in studies seeking to clarify the Type A behavior pattern to identify moderator effects. This was tested, and a stress-moderating effect of externality among Type As was found along with the absence of relation between Type A status and locus of control.     

The moderating impact of temporal separation on the association between intention and physical activity: a meta-analysis

Previous meta-analyses have estimated that the intention–behaviour association in physical activity (PA) is large in magnitude. However, these prior meta-analyses have also revealed a large degree of heterogeneity, suggesting the presence of moderating variables. This study examines the impact of one such moderator, testing the hypothesis that the magnitude of the association between intention and behaviour decreases as the temporal separation between the two increases. A systematic literature search was used to identify published and unpublished studies that met the inclusion criteria. A random-effects meta-regression was conducted to test the study hypothesis. A total of 78 journal articles and 11 unpublished dissertations were identified, yielding 109 effect sizes. The mean number of weeks between the measurement of intention and behaviour was 5.4 (SD = 6.6, range = .43, 26). The average correlation between intention and behaviour was r = 0.51. In line with theoretical predictions, temporal separation was a significant moderator of the intention–behaviour correlation (B = ?.014, p < .001) and explained 24% of the between-study variance. This result remained unchanged when entered simultaneously with several control variables. The results of this analysis have important implications both for researchers and for intervention designers aiming to increase rates of PA.     

Does the Need for Role Clarity Moderate the Relationship between Role Ambiguity and Athlete Satisfaction?

The purpose of the present study was to investigate the need for role clarity as a potential moderator of the role ambiguity–satisfaction relationship among interdependent sport athletes. Competitive “Junior B” ice hockey players (N = 112) representing eight teams completed the Role Ambiguity Scale, five subscales of the Athlete Satisfaction Questionnaire, and a measure of need for role clarity at approximately the mid-point of their competitive season. Correlational findings indicated that greater role ambiguity was associated with lower athlete satisfaction. However, consistent with the moderator hypothesis, the relationships between role ambiguity and various manifestations of satisfaction were only evident for those athletes who had a higher need for role clarity. Implications of the results are discussed and several avenues for application and future research are suggested.     

Automatic thoughts as a predictor of internalizing and externalizing problems in Chinese adolescents: A test of the cognitive content‐specificity hypothesis with age effects

The main aim of the current study was to test the cognitive content‐specificity hypothesis across internalizing and externalizing problems in Chinese adolescents. The participants consisted of 2,158 adolescents aged 11–19 years from three middle schools, and they completed a number of measures assessing a wide range of automatic thoughts and syndromes related to internalizing and externalizing problems. Multivariate regression analyses demonstrated that thoughts about social threats, personal failure and hostility were the strongest predictors of anxiety, depression, and externalizing problems, respectively. Age was a statistically significant, albeit modest, moderator of the relationship between automatic thoughts about social threat and anxiety. The current study provides support for the cognitive content‐specificity hypothesis in internalizing and externalizing problems in a Chinese sample.