scholarly journals Toward a multimodal measurement model for the neurobehavioral trait of affiliative capacity

2020 ◽  
Vol 3 ◽  
Author(s):  
Isabella M. Palumbo ◽  
Emily R. Perkins ◽  
James R. Yancey ◽  
Sarah J. Brislin ◽  
Christopher J. Patrick ◽  
...  
Keyword(s):  
Measurement Model ◽  
Self Report ◽  
Brain Potential ◽  
Assessment Approach ◽  
Interpersonal Connectedness ◽  
Using Data ◽  
Social Style ◽  
Different Response ◽  
Criterion Variables ◽  
Clinical Problems

Abstract A growing body of research supports the value of a multimodal assessment approach, drawing on measures from different response modalities, for clarifying how core biobehavioral processes relate to various clinical problems and dimensions of psychopathology. Using data for 507 healthy adults, the current study was undertaken to integrate self-report and neurophysiological (brain potential) measures as a step toward a multimodal measurement model for the trait of affiliative capacity (AFF) – a biobehavioral construct relevant to adaptive and maladaptive social-interpersonal functioning. Individuals low in AFF exhibit a lack of interpersonal connectedness, deficient empathy, and an exploitative-aggressive social style that may be expressed transdiagnostically in antagonistic externalizing or distress psychopathology. Specific aims were to (1) integrate trait scale and brain potential indicators into a multimodal measure of AFF and (2) evaluate associations of this multimodal measure with criterion variables of different types. Results demonstrated (1) success in creating a multimodal measure of AFF from self-report and neural indicators, (2) effectiveness of this measure in predicting both clinical-diagnostic and neurophysiological criterion variables, and (3) transdiagnostic utility of the multimodal measure at both specific-disorder and broad symptom-dimension levels. Our findings further illustrate the value of psychoneurometric operationalizations of biobehavioral trait dimensions as referents for clarifying transdiagnostic relationships between biological systems variables and empirically defined dimensions of psychopathology.

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.

Short Stress State Questionnaire

2015 ◽  
Vol 31 (1) ◽  
pp. 20-30 ◽  
Author(s):  
William S. Helton ◽  
Katharina Näswall
Keyword(s):  
Stress State ◽  
Factor Structure ◽  
Human Performance ◽  
Self Report ◽  
Confirmatory Factor ◽  
Stress States ◽  
Related Stress ◽  
Using Data ◽  
Task Conditions ◽  
Multiple Samples

Conscious appraisals of stress, or stress states, are an important aspect of human performance. This article presents evidence supporting the validity and measurement characteristics of a short multidimensional self-report measure of stress state, the Short Stress State Questionnaire (SSSQ; Helton, 2004 ). The SSSQ measures task engagement, distress, and worry. A confirmatory factor analysis of the SSSQ using data pooled from multiple samples suggests the SSSQ does have a three factor structure and post-task changes are not due to changes in factor structure, but to mean level changes (state changes). In addition, the SSSQ demonstrates sensitivity to task stressors in line with hypotheses. Different task conditions elicited unique patterns of stress state on the three factors of the SSSQ in line with prior predictions. The 24-item SSSQ is a valid measure of stress state which may be useful to researchers interested in conscious appraisals of task-related stress.

Examining the Role of Power-Control Theory and Self-Control to Account for Computer Hacking

2020 ◽  
pp. 001112872098189
Author(s):  
Thomas J. Holt ◽  
Kevin F. Steinmetz
Keyword(s):  
Gender Difference ◽  
Control Theory ◽  
Power Control ◽  
Gender Disparity ◽  
Criminological Theory ◽  
Self Control ◽  
Self Report ◽  
Computer Hacking ◽  
Using Data

Criminological inquiry consistently identifies a gender difference in offending rates, which are also evident among certain forms of cybercrime. The gender difference in cybercrime offending is particularly large within computer hacking, though few have specifically addressed this issue through applications of criminological theory. The current study attempted to account for the gender disparity in hacking through a test of power-control theory, which considers the role of class and family structure. This analysis also incorporated an extension of power-control theory through the influence of low self-control. Using data from the Second International Self-Report of Delinquency study (ISRD-2), logistic regression analyses were estimated, producing partial support for both theories to account for hacking. Implications for theory and research were explored in detail.

Development and initial validation of the Subjective Academic Wellbeing Measure: A new tool of youth wellbeing in school

2021 ◽  
Vol 6 (1) ◽  
pp. 3-11
Author(s):  
Gökmen Arslan ◽  
Murat Yıldırım ◽  
Silvia Majercakova Albertova
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Mental Health Problems ◽  
School Context ◽  
Measurement Model ◽  
Academic Functioning ◽  
Self Report ◽  
Future Research ◽  
Internal Reliability ◽  
Gender Groups

The purpose of the current study was to investigate the preliminary development and validation of the Subjective Academic Wellbeing Measure (SAWM), which is a six-item self-report rating measure intended for use as a screening tool to assess the positive academic functioning of young people within the elementary and high school context. Exploratory factor analysis was performed with Sample 1 (N= 161), indicating that the SAWM was characterized by a unidimensional measurement model and had strong factor loadings. Results from confirmatory factor analysis, which was carried out with Sample 2 (N= 199), confirmed the measurement model by yielding good data-model fit statistics that were characterized by strong latent construct and internal reliability estimates. Further analyses showed that the scale had good convergent validity considering scores from several self-reported scales of student mental health problems and positive school functioning. Further analyses also showed that configural, metric, and scalar measurement invariance were observed across gender groups. These results provide initial evidence suggesting that the SAWM is a reliable and valid measure that can be used to assess the positive academic functioning of students within the school context. Implications are discussed, and some suggestions are provided for future research and practice

scholarly journals GWAS of Depression Phenotypes in the Million Veteran Program and Meta-analysis in More than 1.2 Million Participants Yields 178 Independent Risk Loci

2020 ◽  
Author(s):  
Daniel F Levey ◽  
Murray B Stein ◽  
Frank R Wendt ◽  
Gita A Pathak ◽  
Hang Zhou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Meta Analysis ◽  
African Ancestry ◽  
Genetic Correlations ◽  
Brain Regions ◽  
Self Report ◽  
European Ancestry ◽  
Causal Variants ◽  
Using Data ◽  
Genomic Risk

We report a large meta-analysis of depression using data from the Million Veteran Program (MVP), 23andMe Inc., UK Biobank, and FinnGen; including individuals of European ancestry (n=1,154,267; 340,591 cases) and African ancestry (n=59,600; 25,843 cases). We identified 223 and 233 independent SNPs associated with depression in European ancestry and transancestral analysis, respectively. Genetic correlations within the MVP cohort across electronic health records diagnosis, survey self-report of diagnosis, and a 2-item depression screen exceeded 0.81. Using transcriptome-wide association study (TWAS) we found significant associations for gene expression in several brain regions, including hypothalamus (NEGR1, p=3.19x10-25) and nucleus accumbens (DRD2, p=1.87x10-20). 178 genomic risk loci were fine-mapped to find likely causal variants. We identified likely pathogenicity in these variants and overlapping gene expression for 17 genes from our TWAS, including TRAF3. This study sheds light on the genetic architecture of depression and provides new insight into the interrelatedness of complex psychiatric traits.

scholarly journals Quantifying Marginality Across the Globe: An Empirical Assessment of Vigil’s Multiple Marginality Model in Predicting Gang Involvement

2020 ◽  
pp. 105756772094857
Author(s):  
Nicole J. Johnson ◽  
Alyssa Mendlein
Keyword(s):  
Minority Youth ◽  
Self Report ◽  
Gang Membership ◽  
Levels Of Analysis ◽  
Multilevel Analyses ◽  
Gang Involvement ◽  
Country Level ◽  
Level Data ◽  
Multiple Levels ◽  
Using Data

Vigil’s multiple marginality (MM) model of gang formation has resulted in hypotheses about why minority youth join gangs, and how these processes play out at multiple levels of analysis and across contexts. However, with a few exceptions, this framework has rarely been tested quantitatively, and especially in countries outside of North America. The current study assesses the MM model using data from the Second International Self-Report Delinquency Study and aggregate country-level data. Results from multilevel analyses reveal some support for the framework, in that at least one measure of each component of the MM model was found to be a significant predictor of gang membership. Controlling for individual and country variables, measures of street socialization exhibited the strongest effects on gang involvement. Yet not all proposed factors were significant predictors across all models. Longitudinal data are necessary to fully support the dynamics of the MM model.

Hotels’ online reputation management: benefits perceived by managers

2019 ◽  
Vol 31 (2) ◽  
pp. 615-632 ◽  
Author(s):  
Javier Perez-Aranda ◽  
María Vallespín ◽  
Sebastian Molinillo
Keyword(s):  
Measurement Model ◽  
Online Reviews ◽  
Customer Relationship ◽  
Reputation Management ◽  
Content Type ◽  
Order Construct ◽  
Using Data ◽  
Hotel Managers ◽  
Relationship Benefits ◽  
The Impact

PurposeThis study aims to develop a measurement model to help hotels manage their reputation within the context of online reviews and ratings platforms and evaluate the impact of this reputation management on the benefits derived by the hotels, as perceived by their managers.Design/methodology/approachPartial least squares was used to assess the model and make a causal predictive analysis, using data from a survey of a random sample of 335 Spanish hotel managers and personnel involved in reputation management.FindingsThis study shows the operationalization of hotel reputation management as a superordinate second-order construct affecting six individual first-order dimensions, strongly impacting on three key benefits as perceived by hotel managers (i.e. financial benefits, customer relationship benefits and customer-based brand benefits), within the context of online review platforms.Practical implicationsBased on the results of this study, hotel managers can improve the effectiveness of their management of ratings and reviews. They can also learn which aspects they should focus on when managing ratings and reviews.Originality/valueBased on the opinions of hotel managers, a causal model for managing online reviews was developed and validated. This study shows how reputation management affects the benefits derived by hotels as perceived by their managers.

scholarly journals Revising the self-report strengths and difficulties questionnaire for cross-country comparisons of adolescent mental health problems: the SDQ-R

2019 ◽  
Vol 29 ◽  
Author(s):  
E. L. Duinhof ◽  
K. M. Lek ◽  
M. E. de Looze ◽  
A. Cosma ◽  
J. Mazur ◽  
...  
Keyword(s):  
Mental Health ◽  
Measurement Invariance ◽  
Mental Health Problems ◽  
Adolescent Mental Health ◽  
Measurement Model ◽  
Health Problems ◽  
The Self ◽  
Self Report ◽  
Emotional Symptoms ◽  
Cross Country

Abstract Aims The Strengths and Difficulties Questionnaire (SDQ) has been used in many epidemiological studies to assess adolescent mental health problems, but cross-country comparisons of the self-report SDQ are scarce and so far failed to find a good-fitting, common, invariant measurement model across countries. The present study aims to evaluate and establish a version of the self-report SDQ that allows for a valid cross-country comparison of adolescent self-reported mental health problems. Methods Using the Health Behaviour in School-aged Children study, the measurement model and measurement invariance of the 20 items of the self-report SDQ measuring adolescent mental health problems were evaluated. Nationally representative samples of 11-, 13- and 15-year old adolescents (n = 33 233) from seven countries of different regions in Europe (Bulgaria, Germany, Greece, the Netherlands, Poland, Romania, Slovenia) were used. Results In order to establish a good-fitting and common measurement model, the five reverse worded items of the self-report SDQ had to be removed. Using this revised version of the self-report SDQ, the SDQ-R, partial measurement invariance was established, indicating that latent factor means assessing conduct problems, emotional symptoms, peer relationships problems and hyperactivity-inattention problems could be validly compared across the countries in this study. Results showed that adolescents in Greece scored relatively low on almost all problem subscales, whereas adolescents in Poland scored relatively high on almost all problem subscales. Adolescents in the Netherlands reported the most divergent profile of mental health problems with the lowest levels of conduct problems, low levels of emotional symptoms and peer relationship problems, but the highest levels of hyperactivity-inattention problems. Conclusions With six factor loadings being non-invariant, partial measurement invariance was established, indicating that the 15-item SDQ-R could be used in our cross-country comparison of adolescent mental health problems. To move the field of internationally comparative research on adolescent mental health forward, studies should test the applicability of the SDQ-R in other countries in- and outside Europe, continue to develop the SDQ-R as a cross-country invariant measure of adolescent mental health, and examine explanations for the found country differences in adolescent mental health problems.

scholarly journals Validity and reliability of an online self-report 24-h dietary recall method (Intake24): a doubly labelled water study and repeated-measures analysis

2019 ◽  
Vol 8 ◽  
Author(s):  
Emma Foster ◽  
Clement Lee ◽  
Fumiaki Imamura ◽  
Stefanie E. Hollidge ◽  
Kate L. Westgate ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Convergent Validity ◽  
Low Cost ◽  
Dietary Assessment ◽  
Self Report ◽  
Validity And Reliability ◽  
Doubly Labelled Water ◽  
Dietary Recall ◽  
Using Data ◽  
Objectively Measured

Abstract Online self-reported 24-h dietary recall systems promise increased feasibility of dietary assessment. Comparison against interviewer-led recalls established their convergent validity; however, reliability and criterion-validity information is lacking. The validity of energy intakes (EI) reported using Intake24, an online 24-h recall system, was assessed against concurrent measurement of total energy expenditure (TEE) using doubly labelled water in ninety-eight UK adults (40–65 years). Accuracy and precision of EI were assessed using correlation and Bland–Altman analysis. Test–retest reliability of energy and nutrient intakes was assessed using data from three further UK studies where participants (11–88 years) completed Intake24 at least four times; reliability was assessed using intra-class correlations (ICC). Compared with TEE, participants under-reported EI by 25 % (95 % limits of agreement −73 % to +68 %) in the first recall, 22 % (−61 % to +41 %) for average of first two, and 25 % (−60 % to +28 %) for first three recalls. Correlations between EI and TEE were 0·31 (first), 0·47 (first two) and 0·39 (first three recalls), respectively. ICC for a single recall was 0·35 for EI and ranged from 0·31 for Fe to 0·43 for non-milk extrinsic sugars (NMES). Considering pairs of recalls (first two v. third and fourth recalls), ICC was 0·52 for EI and ranged from 0·37 for fat to 0·63 for NMES. EI reported with Intake24 was moderately correlated with objectively measured TEE and underestimated on average to the same extent as seen with interviewer-led 24-h recalls and estimated weight food diaries. Online 24-h recall systems may offer low-cost, low-burden alternatives for collecting dietary information.

scholarly journals Victimization, Crime Propensity, and Deviance: A Multinational Test of General Strain Theory

2019 ◽  
Vol 35 (4) ◽  
pp. 410-430
Author(s):  
Marco Teijón-Alcalá ◽  
Christopher Birkbeck
Keyword(s):  
Substance Use ◽  
Social Factors ◽  
General Strain Theory ◽  
Ordinary Least Squares ◽  
Strain Theory ◽  
Self Report ◽  
General Strain ◽  
Using Data ◽  
The Relationship ◽  
Recent Extension

General Strain Theory (GST) identifies victimization as one of the strains most strongly related to crime which, like other sources of strain, is moderated by individual and social factors. Recently, Agnew extended the theorization of coping strategies by proposing that the effects of strain on deviance are conditioned by individual and social factors in combination, rather than singly, which he labeled crime propensity. Tests of the propensity hypothesis have so far yielded mixed results, highlighting the value of additional studies. Whereas previous tests have focused on single countries, either in North America or Asia, we test the propensity hypothesis using data on adolescents in 25 countries collected through the International Self-Report Delinquency Study (ISRD3; n = 57,760). A series of ordinary least squares (OLS) regressions show that the relationship between victimization and delinquency/substance use is conditioned by the effects of individuals’ crime propensity, thereby supporting the recent extension to GST.

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