scholarly journals Here’s the TRIQ: The Tromsø Interest Development Questionnaire Based on the Four-Phase Model of Interest Development

2021 ◽  
Vol 6 ◽  
Author(s):  
Tove I. Dahl ◽  
Ellen Nierenberg
Keyword(s):  
Positive Affect ◽  
Phase 1 ◽  
Self Regulation ◽  
Self Report ◽  
Phase Model ◽  
General Interest ◽  
Individual Interest ◽  
Pull Factors ◽  
Interest Development ◽  
Competence Level

The Tromsø Interest Questionnaire (TRIQ) is the first suite of self-report subscales designed for focused investigations on how interest is experienced in relation to Hidi and Renninger’s four-phase model of interest development. In response to the plethora of varied interest measures that already exist in terms of theoretical grounding, form, and tested quality, the TRIQ subscales were designed with a consistent form to measure general interest, situation dependence, positive affect, competence level, competence aspirations, meaningfulness, and self-regulation answered in relation to some object of interest. Two studies testing the subscales’ performance using different objects of interest (self-chosen “object-general,” and prespecified “object-specific”) provide evidence of the subscales’ internal consistency, temporal reliability, and phase-distinguishing validity. Patterns across the two studies demonstrate that the TRIQ is a sufficiently reliable and valid domain-tailorable tool that is particularly effective at distinguishing phase 1 (triggered situational) from phase 4 (well-developed individual) interest. The findings raise interesting questions for further investigation about the distinction and distance between all interest phases, the push-pull factors that influence how interests evolve and additional subscales to add to the suite.

The Cat is Alive and Well: Curiosity Motivates Exploration for High Interest Learners

2015 ◽  
Author(s):  
Amanda Durik ◽  
◽  
Steven McGee ◽  
Linda Huber ◽  
Jennifer Duck ◽  
...  
Keyword(s):  
College Student ◽  
Free Choice ◽  
Phase Model ◽  
Individual Interest ◽  
High Interest ◽  
Learning Content ◽  
Interest Development

Two studies were conducted to examine how individual interest predicts interactions with domain content and subsequent free-choice exploration. Particular focus was on learners’ acquisition of knowledge and identification of content that triggered curiosity. College student participants reported their individual interest, learned about a topic in ecology (Study 1, N = 85) and astronomy (Study 2, N = 184), responded to prompts for memory of the learning content and curiosity questions, and then had the opportunity to explore additional content related to the topic. In both studies individual interest interacted with whether students’ curiosity was triggered by particular content. In academic domains, individual interest in conjunction with curiosity may be the best predictor of continued behavioral exploration. The results are discussed in the context of the four-phase model of interest development.

scholarly journals Situational Motivation and Perceived Intensity: Their Interaction in Predicting Changes in Positive Affect from Physical Activity

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Eva Guérin ◽  
Michelle S. Fortier
Keyword(s):  
Physical Activity ◽  
Positive Affect ◽  
Perceived Exertion ◽  
Self Regulation ◽  
Self Report ◽  
Hierarchical Regression ◽  
Active Lifestyle ◽  
Significant Interaction Effect ◽  
Affective Experiences ◽  
Situational Motivation

There is evidence that affective experiences surrounding physical activity can contribute to the proper self-regulation of an active lifestyle. Motivation toward physical activity, as portrayed by self-determination theory, has been linked to positive affect, as has the intensity of physical activity, especially of a preferred nature. The purpose of this experimental study was to examine the interaction between situational motivation and intensity [i.e., ratings of perceived exertion (RPE)] in predicting changes in positive affect following an acute bout of preferred physical activity, namely, running. Fourty-one female runners engaged in a 30-minute self-paced treadmill run in a laboratory context. Situational motivation for running, pre- and post-running positive affect, and RPE were assessed via validated self-report questionnaires. Hierarchical regression analyses revealed a significant interaction effect between RPE and introjection (P<.05) but not between RPE and identified regulation or intrinsic motivation. At low levels of introjection, the influence of RPE on the change in positive affect was considerable, with higher RPE ratings being associated with greater increases in positive affect. The implications of the findings in light of SDT principles as well as the potential contingencies between the regulations and RPE in predicting positive affect among women are discussed.

From Bi-Dimensionality to Uni-Dimensionality in Self-Report Questionnaires

2020 ◽  
pp. 1-14 ◽  
Author(s):  
Bjarne Schmalbach ◽  
Markus Zenger ◽  
Michalis P. Michaelides ◽  
Karin Schermelleh-Engel ◽  
Andreas Hinz ◽  
...  
Keyword(s):  
Factor Model ◽  
Common Factor ◽  
Self Regulation ◽  
Model Fit ◽  
Self Report ◽  
External Criterion ◽  
Common Factor Model ◽  
Random Intercept ◽  
Using Data ◽  
Core Self

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.

Inhibition tasks are not associated with self-regulation outcomes in healthy college students

2019 ◽  
Author(s):  
Curtis David Von Gunten ◽  
Bruce D Bartholow ◽  
Jorge S. Martins
Keyword(s):  
Latent Variable ◽  
Convergent Validity ◽  
Self Regulation ◽  
Poor Performance ◽  
Self Control ◽  
Self Report ◽  
Life Outcomes ◽  
Variable Level ◽  
Cast Doubt ◽  
The Individual

Executive functioning (EF) is defined as a set of top-down processes used in reasoning, forming goals, planning, concentrating, and inhibition. It is widely believed that these processes are critical to self-regulation and, therefore, that performance on behavioral task measures of EF should be associated with individual differences in everyday life outcomes. The purpose of the present study was to test this core assumption, focusing on the EF facet of inhibition. A sample of 463 undergraduates completed five laboratory inhibition tasks, along with three self-report measures of self-control and 28 self-report measures of life outcomes. Results showed that although most of the life outcome measures were associated with self-reported self-control, none of the life outcomes were associated with inhibition task performance at the latent-variable level, and few associations were found at the individual task level. These findings challenge the criterion validity of lab-based inhibition tasks. More generally, when considered alongside the known lack of convergent validity between inhibition tasks and self-report measures of self-control, the findings cast doubt on the task’s construct validity as measures of self-control processes. Potential methodological and theoretical reasons for the poor performance of laboratory-based inhibition tasks are discussed.

Positive affect, self-access, and health

2008 ◽  
Vol 16 (3) ◽  
pp. 139-142 ◽  
Author(s):  
Markus Quirin ◽  
Julius Kuhl
Keyword(s):  
Positive Affect ◽  
Stroop Task ◽  
Negative Emotions ◽  
Self Regulation ◽  
Determinants Of Health ◽  
Elementary Level ◽  
Health Maintenance ◽  
Functional Mechanisms ◽  
Level Of Processing

Abstract. Based on the framework of Personality Systems Interactions theory, this article addresses the functional mechanisms by which positive affect influences motivational and self-regulatory determinants of health-relevant behavior on an elementary level of processing. Research encompassing experimental procedures such as the Stroop task will be presented which suggest that positive affect is necessary not only to facilitate self-regulation of negative emotions but also to facilitate self-motivation, i.e., the enactment of difficult intentions that entail the risk of procrastination. We also highlight the role of state and trait accessibility of self-referential information (”self-access”) in generating such positive affect. The relevance of the findings for health maintenance is addressed.

“I Am a Different Man Now”—Sex Offenders in Circles of Support and Accountability: A Prospective Study

2015 ◽  
Vol 61 (7) ◽  
pp. 751-772 ◽  
Author(s):  
Mechtild Höing ◽  
Bas Vogelvang ◽  
Stefan Bogaerts
Keyword(s):  
Sex Offenders ◽  
Repeated Measures ◽  
Qualitative Data ◽  
Sex Offender ◽  
Self Regulation ◽  
Small Sample ◽  
Self Report ◽  
Computer Assisted ◽  
Unique Contribution ◽  
Problem Solving Skills

In Circles of Support and Accountability (CoSA), a group of trained and supervised volunteers support a sex offender (core member in a circle), with the aim of supporting the core member’s transitions toward full desistance. A prospective, multi-method design was used to explore psychological and social transitions in core members. Data were collected at the start of their circle, after 6 months, and after 12 months. Qualitative data were collected in semi-structured interviews with 17 core members and a total of 29 professionals, and analyzed with Kwalitan, a computer-assisted program for qualitative data analysis. Quantitative data were assessed with self-report questionnaires for sex offenders. Mean differences between t0, t1, and t2 were tested with repeated-measures ANOVAs. Qualitative results indicated improvements in reflective skills, openness, and problem-solving skills, as well as social skills, agency, and self-regulation. Quantitative results documented improvements in emotion regulation and internal locus of control, and positive trends in self-esteem and coping skills. Due to the small sample size, our results must be interpreted with caution. Core members as well as professionals reported a unique contribution of circles to their process, but this claim needs further confirmation.

scholarly journals Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors

10.2196/16875 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16875 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm
Keyword(s):  
Social Anxiety ◽  
Negative Affect ◽  
Positive Affect ◽  
Symptom Severity ◽  
Anxiety Symptom ◽  
Self Report ◽  
Sensor Data ◽  
Digital Phenotyping ◽  
Passive Sensor ◽  
Digital Biomarkers

Background Social anxiety disorder is a highly prevalent and burdensome condition. Persons with social anxiety frequently avoid seeking physician support and rarely receive treatment. Social anxiety symptoms are frequently underreported and underrecognized, creating a barrier to the accurate assessment of these symptoms. Consequently, more research is needed to identify passive biomarkers of social anxiety symptom severity. Digital phenotyping, the use of passive sensor data to inform health care decisions, offers a possible method of addressing this assessment barrier. Objective This study aims to determine whether passive sensor data acquired from smartphone data can accurately predict social anxiety symptom severity using a publicly available dataset. Methods In this study, participants (n=59) completed self-report assessments of their social anxiety symptom severity, depressive symptom severity, positive affect, and negative affect. Next, participants installed an app, which passively collected data about their movement (accelerometers) and social contact (incoming and outgoing calls and texts) over 2 weeks. Afterward, these passive sensor data were used to form digital biomarkers, which were paired with machine learning models to predict participants’ social anxiety symptom severity. Results The results suggested that these passive sensor data could be utilized to accurately predict participants’ social anxiety symptom severity (r=0.702 between predicted and observed symptom severity) and demonstrated discriminant validity between depression, negative affect, and positive affect. Conclusions These results suggest that smartphone sensor data may be utilized to accurately detect social anxiety symptom severity and discriminate social anxiety symptom severity from depressive symptoms, negative affect, and positive affect.

scholarly journals Mindfulness meditation training in an occupational setting: Effects of a 12-weeks mindfulness-based intervention on wellbeing

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Teresa Fazia ◽  
Francesco Bubbico ◽  
Giovanni Berzuini ◽  
Laura Dalla Tezza ◽  
Carolina Cortellini ◽  
...  
Keyword(s):  
Mindfulness Meditation ◽  
Self Regulation ◽  
Emotional Awareness ◽  
Self Report ◽  
Psychological Wellbeing ◽  
Control Group ◽  
Beneficial Effects ◽  
Self Compassion ◽  
Occupational Setting ◽  
Professional Outcomes

BACKGROUND: Mindfulness-based interventions (MBIs) are known for their beneficial effects on positive and negative psychological factors. When applied in an occupational context, MBIs might help workers to cope with stress, increase their professional outcomes and wellbeing. OBJECTIVE: In this two-groups pre-post experimental design we tested the effect of our MBI, called Integral Meditation (IM), among the employers of an Italian service company by measuring positive and negative aspects of psychological wellbeing related to mindfulness and workplace functioning through eight self-report questionnaires (CORE-OM, FFMQ, WEMWBS, MAIA, PSS, PANAS, STAI-X1, SCS). METHOD: Forty-two voluntary non-clinical employers of the company, randomly assigned to the experimental or the control group, were analyzed. The experimental group underwent our IM program, which consists of 12 weekly meditation classes given after the afternoon shift, while the control group did not receive any intervention. Data was analyzed via linear mixed models. RESULTS: Statistically significant results were obtained for FFMQ observing subscale (β= 0.49, p = 0.014), WEMWBS (β= 5.31, p = 0.02), PSS (β= –3.31, p = 0.03), the whole scale of SCS (β= 0.47, p = 0.01) and self-judgment (β= 0.68, p = 0.003) and isolation (β= –0.66, p = 0.01) SCS subscales. Statistically significant results were also found in four out of eight subscales of MAIA: emotional awareness (β= 1.26, p <  0.001), self-regulation (β= 1.28, p <  0.001), body listening (β= 1.08, p <  0.001) and trusting (β= 1.1, p <  0.001). CONCLUSION: Our intervention has demonstrated to bring beneficial effects in a mindfulness subdomain, in perceived stress, self-compassion, interoception and psychological wellbeing. Based on our results, we conclude that our intervention was effective in increasing the positive aspects of wellbeing and in reducing stress.

scholarly journals Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors (Preprint)

2019 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm
Keyword(s):  
Social Anxiety ◽  
Negative Affect ◽  
Positive Affect ◽  
Symptom Severity ◽  
Anxiety Symptom ◽  
Self Report ◽  
Sensor Data ◽  
Digital Phenotyping ◽  
Passive Sensor ◽  
Digital Biomarkers

BACKGROUND Social anxiety disorder is a highly prevalent and burdensome condition. Persons with social anxiety frequently avoid seeking physician support and rarely receive treatment. Social anxiety symptoms are frequently underreported and underrecognized, creating a barrier to the accurate assessment of these symptoms. Consequently, more research is needed to identify passive biomarkers of social anxiety symptom severity. Digital phenotyping, the use of passive sensor data to inform health care decisions, offers a possible method of addressing this assessment barrier. OBJECTIVE This study aims to determine whether passive sensor data acquired from smartphone data can accurately predict social anxiety symptom severity using a publicly available dataset. METHODS In this study, participants (n=59) completed self-report assessments of their social anxiety symptom severity, depressive symptom severity, positive affect, and negative affect. Next, participants installed an app, which passively collected data about their movement (accelerometers) and social contact (incoming and outgoing calls and texts) over 2 weeks. Afterward, these passive sensor data were used to form digital biomarkers, which were paired with machine learning models to predict participants’ social anxiety symptom severity. RESULTS The results suggested that these passive sensor data could be utilized to accurately predict participants’ social anxiety symptom severity (<i>r</i>=0.702 between predicted and observed symptom severity) and demonstrated discriminant validity between depression, negative affect, and positive affect. CONCLUSIONS These results suggest that smartphone sensor data may be utilized to accurately detect social anxiety symptom severity and discriminate social anxiety symptom severity from depressive symptoms, negative affect, and positive affect.

Why Does it Feel Authentic to be and act Extraverted? Exploring the Mediating Role of Positive Affect

2021 ◽  
Author(s):  
Joshua Adam Wilt ◽  
Jessie Sun ◽  
Rowan Jacques-Hamilton ◽  
Luke D. Smillie
Keyword(s):  
Positive Affect ◽  
Life Experience ◽  
Self Regulation ◽  
Experience Sampling ◽  
State Level ◽  
Mediation Model ◽  
Sampling Protocol ◽  
Mediating Role ◽  
Trait Level

Extraverts report higher levels of authenticity and extraverted behavior predicts increased feelings of authenticity. Why? Across three studies, we examined positive affect as a mediator of the associations between extraversion and authenticity. In Study 1 (N = 205), we tested our mediation model at the trait level. Study 2 (N = 97) involved a ten-week lab-based experience sampling protocol, whereas Study 3 (N = 147) involved a preregistered week-long daily-life experience sampling protocol. These studies allowed us to test our mediation model at the state level. Positive affect explained moderate to very high proportions of the effects of extraversion on authenticity (Study 1 = 29%, Study 2 = 38%, Study 3 = 87%). We interpret these findings through the lens of cybernetic self-regulation, feelings-as-information, positive psychology, and humanistic perspectives, and propose that increased PA could also explain why extraversion is connected with other eudaimonic components of wellbeing.

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