scholarly journals Rationale and Design of the National Neuropsychology Network

2021 ◽  
pp. 1-11
Author(s):  
David W. Loring ◽  
Russell M. Bauer ◽  
Lucia Cavanagh ◽  
Daniel L. Drane ◽  
Kristen D. Enriquez ◽  
...  
Keyword(s):  
Los Angeles ◽  
Clinical Research ◽  
Neuropsychological Test ◽  
Data Capture ◽  
Self Report ◽  
Medical College ◽  
Research Initiative ◽  
Level Data ◽  
Report Data ◽  
Self Report Data

Abstract Objective. The National Neuropsychology Network (NNN) is a multicenter clinical research initiative funded by the National Institute of Mental Health (NIMH; R01 MH118514) to facilitate neuropsychology’s transition to contemporary psychometric assessment methods with resultant improvement in test validation and assessment efficiency. Method: The NNN includes four clinical research sites (Emory University; Medical College of Wisconsin; University of California, Los Angeles (UCLA); University of Florida) and Pearson Clinical Assessment. Pearson Q-interactive (Q-i) is used for data capture for Pearson published tests; web-based data capture tools programmed by UCLA, which serves as the Coordinating Center, are employed for remaining measures. Results: NNN is acquiring item-level data from 500–10,000 patients across 47 widely used Neuropsychology (NP) tests and sharing these data via the NIMH Data Archive. Modern psychometric methods (e.g., item response theory) will specify the constructs measured by different tests and determine their positive/negative predictive power regarding diagnostic outcomes and relationships to other clinical, historical, and demographic factors. The Structured History Protocol for NP (SHiP-NP) helps standardize acquisition of relevant history and self-report data. Conclusions: NNN is a proof-of-principle collaboration: by addressing logistical challenges, NNN aims to engage other clinics to create a national and ultimately an international network. The mature NNN will provide mechanisms for data aggregation enabling shared analysis and collaborative research. NNN promises ultimately to enable robust diagnostic inferences about neuropsychological test patterns and to promote the validation of novel adaptive assessment strategies that will be more efficient, more precise, and more sensitive to clinical contexts and individual/cultural differences.

Drug use Prevalence among Former SSI DA&A Recipients

2003 ◽  
Vol 30 (1-2) ◽  
pp. 275-290 ◽  
Author(s):  
Deborah Podus ◽  
Eunice Chang ◽  
Mary Lynn Brecht ◽  
James A. Swartz ◽  
M. Douglas Anglin
Keyword(s):  
Los Angeles ◽  
Drug Use ◽  
Self Report ◽  
Illegal Drug Use ◽  
Opiate Use ◽  
Current Prevalence ◽  
Report Data ◽  
Self Report Data ◽  
Abuse Treatment ◽  
Program Data

This paper examines illegal drug use prevalence among former recipients of Supplemental Security Income (SSI) disability benefits for drug addiction and alcoholism (DA&A) in Chicago, Los Angeles, and Seattle, based on urinalysis and self-report data. It presents estimates of current prevalence (past three days) for four categories of illegal drugs–-opiates, cocaine, marijuana, or any use–-at 12 and 24 months after termination of the DA&A program. Data were obtained as part of a longitudinal study of 1,764 former SSI DA&A recipients in nine sites. Analyses indicate that a substantial number of former DA&A recipients, probably 45%–55%, were engaged in active drug use after termination of the program. Among users, cocaine and opiate use were extensive. Although there were high rates of underreporting by self-reported non-users, underreporting was not systematically associated with age, gender, ethnicity, criminal justice involvement, recent substance abuse treatment, or SSI benefit status.

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Articles Published in EJPA 2009–2010

2011 ◽  
Vol 27 (4) ◽  
pp. 290-298 ◽  
Author(s):  
Tuulia M. Ortner ◽  
Isabella Vormittag
Keyword(s):  
Psychological Assessment ◽  
Rating Scales ◽  
Self Report ◽  
Related Field ◽  
Broad Scope ◽  
Future Challenges ◽  
Health Related ◽  
Report Data ◽  
Self Report Data

With reference to EJPA’s unique and broad scope, the current study analyzed the characteristics of the authors as well as the topics and research aims of the 69 empirical articles published in the years 2009–2010. Results revealed that more than one third of the articles were written by authors affiliated with more than one country. With reference to their research aims, an almost comparable number of articles (1) presented a new measure, (2) dealt with adaptations of measures, or (3) dealt with further research on existing measures. Analyses also revealed that most articles did not address any particular field of application. The second largest group was comprised of articles related to the clinical field, followed by the health-related field of application. The majority of all articles put their focus on investigating questionnaires or rating scales, and only a small number of articles investigated procedures classified as tests or properties of interviews. As to further characteristics of the method(s) used, a majority of EJPA contributions addressed self-report data. Results are discussed with reference to publication demands as well as the current and future challenges and demands of psychological assessment.

Does Dispositional Mindfulness Predict the Development of Grit?

2018 ◽  
Vol 39 (2) ◽  
pp. 76-87 ◽  
Author(s):  
Buaphrao Raphiphatthana ◽  
Paul Jose ◽  
Karen Salmon
Keyword(s):  
Undergraduate Students ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Self Report ◽  
Dispositional Mindfulness ◽  
Cross Sectional ◽  
Report Data ◽  
Self Report Data ◽  
Acting With Awareness ◽  
Mindfulness Facets

Abstract. Grit, that is, perseverance and passion for long-term goals, is a novel construct that has gained attention in recent years ( Duckworth, Peterson, Matthews, & Kelly, 2007 ). To date, little research has been performed with the goal of identifying the antecedents of grit. Thus, in order to fill this gap in the literature, self-report data were collected to examine whether mindfulness, a mindset of being-in-the-present in a nonjudgmental way, plays a role in fostering grittiness. Three hundred and forty-three undergraduate students completed an online survey once in a cross-sectional study, and of these, 74 students completed the survey again 4.5 months later. Although the cross-sectional analyses identified a number of positive associations between mindfulness and grit, the longitudinal analysis revealed that the mindfulness facets of acting with awareness and non-judging were the most important positive predictors of grit 4.5 months later. This set of findings offers implications for future grit interventions.

The Effects of Questionnaire Length and Behavioral Consequences on Careless Responding

2020 ◽  
Vol 36 (2) ◽  
pp. 410-420 ◽  
Author(s):  
Anthony M. Gibson ◽  
Nathan A. Bowling
Keyword(s):  
Self Report ◽  
Randomized Experiments ◽  
High Quality ◽  
Buffering Effect ◽  
Careless Responding ◽  
Main Effect ◽  
Limited Support ◽  
Report Data ◽  
Self Report Data ◽  
Consistent Support

Abstract. The current paper reports the results of two randomized experiments designed to test the effects of questionnaire length on careless responding (CR). Both experiments also examined whether the presence of a behavioral consequence (i.e., a reward or a punishment) designed to encourage careful responding buffers the effects of questionnaire length on CR. Collectively, our two studies found (a) some support for the main effect of questionnaire length, (b) consistent support for the main effect of the consequence manipulations, and (c) very limited support for the buffering effect of the consequence manipulations. Because the advancement of many subfields of psychology rests on the availability of high-quality self-report data, further research should examine the causes and prevention of CR.

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

scholarly journals Differential Self-control Effects: Moral Filtering and the Subsidiary Relevance of Self-control

2021 ◽  
Author(s):  
Helmut Hirtenlehner ◽  
Heinz Leitgöb
Keyword(s):  
Action Theory ◽  
Criminal Activity ◽  
Self Control ◽  
Self Report ◽  
Moral Norms ◽  
Situational Characteristics ◽  
Report Data ◽  
Self Report Data ◽  
The Individual ◽  
Low Self Control

AbstractCriminological research has identified low self-control as major cause of criminal activity. However, astonishingly little is known about the individual and situational characteristics that affect the functioning of self-control in relation to crime. Recent theorizing, especially in the context of Situational Action Theory, suggests that the interplay of personal and contextual morality creates a morally preselected choice set whose composition determines the relevance of self-control. Guided by the ideas of differential self-control effects and a moral filtering of action alternatives, the present inquiry investigates whether the role of self-control in crime causation depends on the power of moral factors to exclude crime from the set of the considered behavioral options. We argue that the significance of an individual’s capacity for self-control increases with a growing weakness of the moral filter, reaching its maximum when both personal and setting morality encourage criminal activity. Analyses of self-report data on adolescent vandalism delinquency provide support for differential self-control effects. The general picture is that self-control ability matters most when the strength of the moral filter hits a low, which is when both an individual’s own moral rules and the moral norms of the setting facilitate offending. Further evidence suggests that crime contemplation is highest when individual morality and setting morality jointly encourage vandalism. There is also indication that trait self-control has a greater effect on vandalism delinquency at higher levels of crime contemplation. All these results accord with the notion of a subsidiary relevance of control.

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