The Memory Experiences and Dreams Questionnaire (MED-Q): A Validated Measure of Dream Remembering

2009 ◽  
Vol 29 (1) ◽  
pp. 3-29 ◽  
Author(s):  
Caroline L. Horton ◽  
Martin A. Conway
Keyword(s):  
Individual Differences ◽  
Empirical Work ◽  
Self Report ◽  
Psychometric Validation ◽  
Dream Recall ◽  
Cognitive Correlates ◽  
Sensory Experiences ◽  
Dream Report ◽  
Single Score ◽  
Subjective Characteristic

Dream recall has been investigated via various means, often relying upon self-report judgments. Such methods, as well as individual differences and cognitive correlates of dream recall, rarely acknowledge models, theory, or empirical work concerning waking memory. Study 1 presents the development and psychometric validation of the Memory Experiences and Dreaming Questionnaire (MED-Q)—a 30-item measure of autobiographical and dream memory sensations incorporating items on dreaming, sensory experiences, and autobiographical remembering behaviors. It produces a single score and can be broken down into its constituent factors: “awareness of dreaming,” “daydreaming,” “dream sensations upon waking,” “déjà-states,” “comprehensibility of dream content,” and “senses.” Study 2 demonstrates the validity of the MED-Q as compared with dream report indices of dream detail. The MED-Q measures the extent to which a person engages with their dream memories through both frequency and subjective characteristic ratings. It is therefore novel in emphasizing the context of autobiographical memory for dreaming.

Positive risk-taking: Mixed-methods validation of a self-report scale and evidence for genetic links to personality and negative risk-taking

2019 ◽  
Author(s):  
Megan Wales Patterson ◽  
Lilla Pivnick ◽  
Frank D Mann ◽  
Andrew D Grotzinger ◽  
Kathryn C Monahan ◽  
...  
Keyword(s):  
Youth Development ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Empirical Work ◽  
Well Being ◽  
Population Based ◽  
Self Report ◽  
Personality Factors ◽  
Positive Behaviors ◽  
Adolescent Risk

Adolescents are more likely to take risks. Typically, research on adolescent risk-taking has focused on its negative health and societal consequences. However, some risk-taking behaviors might be positive, defined here as behavior that does not violate the rights of others and that might advance socially-valuable goals. Empirical work on positive risk-taking has been limited by measurement challenges. In this study, we elicited adolescents’ free responses (n = 75) about a time they took a risk. Based on thematic coding, we identified positive behaviors described as risks and selected items to form a self-report scale. The resulting positive risk-taking scale was quantitatively validated in a population-based sample of adolescent twins (n = 1249). Second, we evaluated associations between positive risk-taking, negative risk-taking, and potential personality and peer correlates using a genetically informed design. Sensation seeking predicted negative and positive risk-taking equally strongly, whereas extraversion differentiated forms of risk-taking. Additive genetic influences on personality accounted for the total heritability in positive risk-taking. Indirect pathways from personality through positive and negative peer environments were identified. These results provide promising evidence that personality factors of sensation seeking and extraversion can manifest as engagement in positive risks. Increased understanding of positive manifestations of adolescent risk-taking may yield targets for positive youth development strategies to bolster youth well-being.

Individual differences related to present and future mental orientation predict the sense of time

2017 ◽  
Author(s):  
Marc Wittmann ◽  
Henrike Fiedler ◽  
Wilhelm Gros ◽  
Julia Mossbridge ◽  
Cintia Retz Lucci
Keyword(s):  
Individual Differences ◽  
Time Perspective ◽  
Cross Sectional Study ◽  
Self Report ◽  
Reproduction Task ◽  
Cross Sectional ◽  
Waiting Period ◽  
Frequency Scale ◽  
Temporal Intervals ◽  
Sense Of Time

With this cross-sectional study we investigated how individual differences regarding present- and future-oriented mental processes are related to the experience of time in the seconds and minutes range. A sample of students (N = 100) filled out self-report measures of time perspective (ZTPI), mindfulness (FMI), impulsiveness (BIS), and the daydreaming frequency scale (DDFS). Furthermore they were asked to (a) retrospectively judge the duration of a waiting period of five minutes, and (b) to prospectively perform an visual duration reproduction task with intervals of 3, 6, and 9 seconds. Regression models show that (a) being more present fatalistic (ZTPI) and more impulsive are related to longer duration estimates of the waiting period, and (b) having a stronger propensity to daydream leads to a stronger under-reproduction of temporal intervals. These findings show how personality traits related to present orientation are associated with the state-like perception of duration.

Individual differences in white and grey matter structure associated with verbal habits of thought

2019 ◽  
Author(s):  
Justin C. Hayes ◽  
Katherine L Alfred ◽  
Rachel Pizzie ◽  
Joshua S. Cetron ◽  
David J. M. Kraemer
Keyword(s):  
Individual Differences ◽  
White Matter ◽  
Cognitive Processing ◽  
Grey Matter ◽  
Structural Changes ◽  
Structural Integrity ◽  
Diffusion Tensor ◽  
Self Report ◽  
White Matter Tracts

Modality specific encoding habits account for a significant portion of individual differences reflected in functional activation during cognitive processing. Yet, little is known about how these habits of thought influence long-term structural changes in the brain. Traditionally, habits of thought have been assessed using self-report questionnaires such as the visualizer-verbalizer questionnaire. Here, rather than relying on subjective reports, we measured habits of thought using a novel behavioral task assessing attentional biases toward picture and word stimuli. Hypothesizing that verbal habits of thought are reflected in the structural integrity of white matter tracts and cortical regions of interest, we used diffusion tensor imaging and volumetric analyses to assess this prediction. Using a whole-brain approach, we show that word bias is associated with increased volume in several bilateral language regions, in both white and grey matter parcels. Additionally, connectivity within white matter tracts within an a priori speech production network increased as a function of word bias. These results demonstrate long-term structural and morphological differences associated with verbal habits of thought.

scholarly journals A meta-analysis on individual differences in primary emotional systems and Big Five personality traits

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Davide Marengo ◽  
Kenneth L. Davis ◽  
Gökçe Özkarar Gradwohl ◽  
Christian Montag
Keyword(s):  
Individual Differences ◽  
Personality Traits ◽  
Big Five ◽  
Mammalian Species ◽  
Theoretical Perspective ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Big Five Personality ◽  
Affective Neuroscience ◽  
Emotional Systems

AbstractThe Affective Neuroscience Personality Scales (ANPS) were constructed as a self-report assessment to measure individual differences in Jaak Panksepp’s cross-species primary emotional systems: SEEKING, PLAY, CARE (positive emotions) and FEAR, SADNESS, ANGER (negative emotions). Beginning with the first published work on the ANPS in 2003, individual differences on the ANPS measures of these six primary emotional systems have been consistently linked to Big Five personality traits. From a theoretical perspective, these primary emotional systems arising from subcortical regions, shed light on the nature of the Big Five personality traits from an evolutionary perspective, because each of these primary emotional systems represent a tool for survival endowing mammalian species with inherited behavioral programs to react appropriately to complex environments. The present work revisited 21 available samples where both ANPS and Big Five measures have been administered. Our meta-analytical analysis provides solid evidence that high SEEKING relates to high Openness to Experience, high PLAY to high Extraversion, high CARE/low ANGER to high Agreeableness and high FEAR/SADNESS/ANGER to high Neuroticism. This seems to be true regardless of the ANPS inventory chosen, although much more work is needed in this area. Associations between primary emotional systems and Conscientiousness were in the lower effect size area across all six primary emotions, thereby supporting the idea that Conscientiousness rather seems to be less directly related with the subcortical primary emotions and likely is the most cognitive/cortical personality construct out of the Big Five. In sum, the present work underlines the idea that individual differences in primary emotional systems represent evolutionarily ancient foundations of human personality, given their a) meaningful links to the prominent Big Five model and b) their origins lying in subcortical areas of the human brain.

scholarly journals Psychometric validation and refinement of the Interoception Sensory Questionnaire (ISQ) in adolescents and adults on the autism spectrum

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Evan Suzman ◽  
Zachary J. Williams ◽  
Jacob I. Feldman ◽  
Michelle Failla ◽  
Carissa J. Cascio ◽  
...  
Keyword(s):  
Autism Spectrum ◽  
The Body ◽  
Self Report ◽  
Psychometric Validation ◽  
Response Scale ◽  
Response Options ◽  
Response Choice ◽  
Autistic People ◽  
Adolescents And Adults ◽  
Sensory Questionnaire

Abstract Background Individuals on the autism spectrum are reported to display alterations in interoception, the sense of the internal state of the body. The Interoception Sensory Questionnaire (ISQ) is a 20-item self-report measure of interoception specifically intended to measure this construct in autistic people. The psychometrics of the ISQ, however, have not previously been evaluated in a large sample of autistic individuals. Methods Using confirmatory factor analysis, we evaluated the latent structure of the ISQ in a large online sample of adults on the autism spectrum and found that the unidimensional model fit the data poorly. Using misspecification analysis to identify areas of local misfit and item response theory to investigate the appropriateness of the seven-point response scale, we removed redundant items and collapsed the response options to put forth a novel eight-item, five-response choice ISQ. Results The revised, five-response choice ISQ (ISQ-8) showed much improved fit while maintaining high internal reliability. Differential item functioning (DIF) analyses indicated that the items of the ISQ-8 were answered in comparable ways by autistic adolescents and adults and across multiple other sociodemographic groups. Limitations Our results were limited by the fact that we did not collect data for typically developing controls, preventing the analysis of DIF by diagnostic status. Additionally, while this study proposes a new 5-response scale for the ISQ-8, our data were not collected using this method; thus, the psychometric properties for the revised version of this instrument require further investigation. Conclusion The ISQ-8 shows promise as a reliable and valid measure of interoception in adolescents and adults on the autism spectrum, but additional work is needed to examine its psychometrics in this population. A free online score calculator has been created to facilitate the use of ISQ-8 latent trait scores for further studies of autistic adolescents and adults (available at https://asdmeasures.shinyapps.io/ISQ_score/).

Individual differences in the subjective effects of the first cigarette of the day: A self-report method for studying tolerance.

1997 ◽  
Vol 5 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Janine L. Pillitteri ◽  
Lynn T. Kozlowski ◽  
Christine T. Sweeney ◽  
Todd F. Heatherton
Keyword(s):  
Individual Differences ◽  
Subjective Effects ◽  
Self Report

Cognitive correlates and components in the analysis of individual differences

Intelligence ◽  
1979 ◽  
Vol 3 (3) ◽  
pp. 187-215 ◽  
Author(s):  
James W. Pellegrino ◽  
Robert Glaser
Keyword(s):  
Individual Differences ◽  
Cognitive Correlates

scholarly journals Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

2020 ◽  
Vol 117 (32) ◽  
pp. 19061-19071 ◽  
Author(s):  
Samantha Joel ◽  
Paul W. Eastwick ◽  
Colleen J. Allison ◽  
Ximena B. Arriaga ◽  
Zachary G. Baker ◽  
...  
Keyword(s):  
Machine Learning ◽  
Individual Differences ◽  
Relationship Quality ◽  
Individual Difference ◽  
Large Scale ◽  
Well Being ◽  
Attachment Anxiety ◽  
Self Report ◽  
Individual Difference Variables ◽  
Partner Satisfaction

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.

scholarly journals Psychometric Validation and Demographic Differences in Two Recently Developed Trait Mindfulness Measures

2021 ◽  
Author(s):  
◽  
Margaret A Sturgess
Keyword(s):  
Large Body ◽  
Negative Relationship ◽  
Self Report ◽  
Psychometric Validation ◽  
Future Research ◽  
Trait Mindfulness ◽  
Older Individuals ◽  
Five Facet Mindfulness Questionnaire ◽  
Demographic Differences ◽  
Psychometric Validity

<p>Although in recent years an increasingly large body of mindfulness research has accrued, there continues to be a lack of information about how to measure trait mindfulness, as well as whether it varies across demographic variables such as age and gender. Four hundred and six participants from across New Zealand completed a battery of self-report measures in order to examine demographic differences in mindfulness, as well as to look at how mindfulness predicts outcome variables such as happiness and depression. Additionally, psychometric validation was undertaken on two new trait measures of mindfulness: the Toronto Mindfulness Scale, which did not demonstrate good psychometric validity, and the Five Facet Mindfulness Questionnaire, which did demonstrate good psychometric validity. This study found that females reported higher levels of mindfulness than males, though males demonstrated a stronger mediating relationship between mindfulness and happiness. In addition, higher levels of mindfulness were reported by older individuals; however, young adults manifested the strongest negative relationship between mindfulness and depression across the lifespan. These findings are then discussed in the context of clinical utility and future research.</p>

scholarly journals Measurement issues of shared decision making in mental health: challenges and opportunities

2017 ◽  
Vol 22 (3) ◽  
pp. 214-232 ◽  
Author(s):  
Lilisbeth Perestelo-Perez ◽  
Amado Rivero-Santana ◽  
Yolanda Alvarez-Perez ◽  
Yaara Zisman-Ilani ◽  
Emma Kaminskiy ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Decision Making ◽  
Mental Health Care ◽  
Shared Decision Making ◽  
Self Report ◽  
Psychometric Validation ◽  
Shared Decision ◽  
Deliberative Process ◽  
Content Type

Purpose Shared decision making (SDM) is a model of health care in which patients are involved in the decision-making process about their treatment, considering their preferences and concerns in a deliberative process with the health care provider. Many existing instruments assess the antecedents, process, or the outcomes of SDM. The purpose of this paper is to identify the SDM-related measures applied in a mental health context. Design/methodology/approach The authors performed a systematic review in several electronic databases from 1990 to October 2016. Studies that assessed quantitatively one or more constructs related to SDM (antecedents, process, and outcomes) in the field of mental health were included. Findings The authors included 87 studies that applied 48 measures on distinct SDM constructs. A large majority of them have been developed in the field of physical diseases and adapted or directly applied in the mental health context. The most evaluated construct is the SDM process in consultation, mainly by patients’ self-report but also by external observer measures, followed by the patients’ preferences for involvement in decision making. The most applied instrument was the Autonomy Preference Index, followed by the Observing Patient Involvement in Decision Making (OPTION) and the Control Preferences Scale (CPS). The psychometric validation in mental health samples of the instruments identified is scarce. Research limitations/implications The bibliographic search is comprehensive, but could not be completely exhaustive. Effort should be invested in the development of new SDM for mental health tools that will reflect the complexity and specific features of mental health care. Originality/value The authors highlight several limitations and challenges for the measurement of SDM in mental health care.

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