Cross-Task Stability of Individual Differences in Adaptivity to Changing Base Rates

Hypnotic suggestibility denotes a capacity to respond positively to direct verbal suggestions in an involuntary manner in the context of hypnosis. Elucidating the characteristics of this ability has bearing on responsiveness to suggestions in a variety of clinical and non-clinical contexts. A considerable amount of research has focused on a small subgroup of individuals who display strong responsiveness to hypnotic suggestions. However, it remains poorly understood whether these highly suggestible individuals constitute a discrete subgroup (taxon) that is characterized by a qualitatively distinct mode of responding from the remainder of the population or whether hypnotic suggestibility is better modelled as a dimensional ability. In this study, we applied taxometric analysis, a statistical method for distinguishing between dimensional and categorical models of a psychological ability, to behavioural and involuntariness subscale scores of the Harvard Group Scale of Hypnotic Susceptibility Scale: Form A (HGSHS:A) in a sample of neurotypical individuals (N=584). Analyses of HGSHS:A behavioural and involuntariness subscale scores with different a priori taxon base rates yielded consistent evidence for a dimensional structure. These results suggest that hypnotic suggestibility, as measured by the HGSHS:A, is dimensional and have implications for current understanding of individual differences in responsiveness to direct verbal suggestions.

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Conducting Sensitivity Analyses to Identify and Buffer Power Vulnerabilities in Studies Examining Substance Use over Time

10.31234/osf.io/4evgk ◽

2018 ◽

Author(s):

Sean Patrick Lane ◽

Erin Hennes

Keyword(s):

Substance Use ◽

Individual Differences ◽

Sensitivity Analyses ◽

Large Individual ◽

Parameter Estimates ◽

Model Parameters ◽

Multiple Sources ◽

Base Rates ◽

The Impact ◽

Power Analyses

Introduction: A priori power analysis is increasingly being recognized as a useful tool for designing efficient research studies that improve the probability of robust and publishable results. However, power analyses for many empirical designs in the addiction sciences require consideration of numerous parameters. Identifying appropriate parameter estimates is challenging due to multiple sources of uncertainty, which can limit power analyses’ utility. Method: We demonstrate a sensitivity analysis approach for systematically investigating the impact of various model parameters on power. We illustrate this approach using three design aspects of importance for substance use researchers conducting longitudinal studies ─ base rates, individual differences (i.e., random slopes), and correlated predictors (e.g., co-use) ─ and examine how sensitivity analyses can illuminate strategies for controlling power vulnerabilities in such parameters.Results: Even large numbers of participants and/or repeated assessments can be insufficient to observe associations when substance use base rates are too low or too high. Large individual differences can adversely affect power, even with increased assessments. Collinear predictors are rarely detrimental unless the correlation is high.Conclusions: Increasing participants is usually more effective at buffering power than increasing assessments. Research designs can often enhance power by assessing participants twice as frequently as substance use occurs. Heterogeneity should be carefully estimated or empirically controlled, whereas collinearity infrequently impacts power significantly. Sensitivity analyses can identify regions of model parameter spaces that are vulnerable to bad guesses or sampling variability. These insights can be used to design robust studies that make optimal use of limited resources.

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The challenge of accounting for individual differences in folk-economic beliefs

Behavioral and Brain Sciences ◽

10.1017/s0140525x18000523 ◽

2018 ◽

Vol 41 ◽

Cited By ~ 1

Author(s):

Benjamin C. Ruisch ◽

Rajen A. Anderson ◽

David A. Pizarro

Keyword(s):

Individual Differences ◽

Individual Variation ◽

Political Ideologies ◽

Economic Beliefs ◽

Existing Data

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.

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Individual differences, social attention, and the history of the social motivation hypotheses of autism

Behavioral and Brain Sciences ◽

10.1017/s0140525x18002509 ◽

2019 ◽

Vol 42 ◽

Author(s):

Peter C. Mundy

Keyword(s):

Individual Differences ◽

Early Development ◽

Emotional Development ◽

Social Motivation ◽

Social Attention ◽

Social Emotional Development ◽

Social Emotional ◽

Precise Understanding ◽

The Social ◽

History Of

Abstract The stereotype of people with autism as unresponsive or uninterested in other people was prominent in the 1980s. However, this view of autism has steadily given way to recognition of important individual differences in the social-emotional development of affected people and a more precise understanding of the possible role social motivation has in their early development.

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Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

Behavioral and Brain Sciences ◽

10.1017/s0140525x18000274 ◽

2018 ◽

Vol 41 ◽

Author(s):

Kevin Arceneaux

Keyword(s):

Decision Making ◽

Individual Differences ◽

Cognitive Processes ◽

Evolutionary History ◽

Behavioral Responses ◽

History Of ◽

Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

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Inter-individual variation shapes the human microbiome

Behavioral and Brain Sciences ◽

10.1017/s0140525x1800287x ◽

2019 ◽

Vol 42 ◽

Author(s):

Emily F. Wissel ◽

Leigh K. Smith

Keyword(s):

Individual Differences ◽

Individual Variation ◽

Human Microbiome ◽

Individual Variability ◽

Microbiota Composition ◽

Target Article ◽

Microbiome Research

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.

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Why Speech-Language Clinicians Should Be in the Classroom

Language Speech and Hearing Services in Schools ◽

10.1044/0161-1461.2204.277 ◽

1991 ◽

Vol 22 (4) ◽

pp. 277-277 ◽

Cited By ~ 3

Author(s):

Sharon L. Wadle

Keyword(s):

Individual Differences ◽

Task Analysis ◽

Regular Classroom ◽

Classroom Setting ◽

Therapy Room

Lack of training is only an excuse for not collaborating outside of the therapy room. With our present training, speech-language clinicians have many skills to share in the regular classroom setting. This training has provided skills in task analysis, a language focus, an appreciation and awareness of individual differences in learning, and motivational techniques.

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Group Experiences and Individual Differences in Stuttering

Journal of Speech Language and Hearing Research ◽

10.1044/2019_jslhr-19-00138 ◽

2019 ◽

Vol 62 (12) ◽

pp. 4335-4350 ◽

Cited By ~ 6

Author(s):

Seth E. Tichenor ◽

J. Scott Yaruss

Keyword(s):

Individual Differences ◽

Support Groups ◽

Support Group ◽

Affective States ◽

Life Outcomes ◽

Self Help ◽

Wide Range ◽

Group Experiences ◽

History Of ◽

Adults Who Stutter

Purpose This study explored group experiences and individual differences in the behaviors, thoughts, and feelings perceived by adults who stutter. Respondents' goals when speaking and prior participation in self-help/support groups were used to predict individual differences in reported behaviors, thoughts, and feelings. Method In this study, 502 adults who stutter completed a survey examining their behaviors, thoughts, and feelings in and around moments of stuttering. Data were analyzed to determine distributions of group and individual experiences. Results Speakers reported experiencing a wide range of both overt behaviors (e.g., repetitions) and covert behaviors (e.g., remaining silent, choosing not to speak). Having the goal of not stuttering when speaking was significantly associated with more covert behaviors and more negative cognitive and affective states, whereas a history of self-help/support group participation was significantly associated with a decreased probability of these behaviors and states. Conclusion Data from this survey suggest that participating in self-help/support groups and having a goal of communicating freely (as opposed to trying not to stutter) are associated with less negative life outcomes due to stuttering. Results further indicate that the behaviors, thoughts, and experiences most commonly reported by speakers may not be those that are most readily observed by listeners.

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