scholarly journals Challenging response latencies in faking detection: The case of few items and no warnings

2021 ◽  
Author(s):  
Jessica Röhner ◽  
Ronald R. Holden
Keyword(s):  
Psychological Assessment ◽  
Need For Cognition ◽  
Self Report ◽  
Data Sets ◽  
Response Latencies ◽  
Faking Good ◽  
Large Numbers ◽  
Good Will ◽  
Fake Good ◽  
Congruence Model

AbstractFaking detection is an ongoing challenge in psychological assessment. A notable approach for detecting fakers involves the inspection of response latencies and is based on the congruence model of faking. According to this model, respondents who fake good will provide favorable responses (i.e., congruent answers) faster than they provide unfavorable (i.e., incongruent) responses. Although the model has been validated in various experimental faking studies, to date, research supporting the congruence model has focused on scales with large numbers of items. Furthermore, in this previous research, fakers have usually been warned that faking could be detected. In view of the trend to use increasingly shorter scales in assessment, it becomes important to investigate whether the congruence model also applies to self-report measures with small numbers of items. In addition, it is unclear whether warning participants about faking detection is necessary for a successful application of the congruence model. To address these issues, we reanalyzed data sets of two studies that investigated faking good and faking bad on extraversion (n = 255) and need for cognition (n = 146) scales. Reanalyses demonstrated that having only a few items per scale and not warning participants represent a challenge for the congruence model. The congruence model of faking was only partly confirmed under such conditions. Although faking good on extraversion was associated with the expected longer latencies for incongruent answers, all other conditions remained nonsignificant. Thus, properties of the measurement and properties of the procedure affect the successful application of the congruence model.

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.

Comparison of iterative desmearing procedures for one-dimensional small-angle scattering data

2011 ◽  
Vol 44 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Thomas Vad ◽  
Wiebke F. C. Sager
Keyword(s):  
Small Angle ◽  
Incident Beam ◽  
Scattering Data ◽  
Data Sets ◽  
Convergence Criteria ◽  
Small Momentum Transfer ◽  
One Dimensional ◽  
Noise Filter ◽  
Large Numbers ◽  
Angle Scattering

Two simple iterative desmearing procedures – the Lake algorithm and the Van Cittert method – have been investigated by introducing different convergence criteria using both synthetic and experimental small-angle neutron scattering data. Implementing appropriate convergence criteria resulted in stable and reliable solutions in correcting resolution errors originating from instrumental smearing,i.e.finite collimation and polychromaticity of the incident beam. Deviations at small momentum transfer for concentrated ensembles of spheres encountered in earlier studies are not observed. Amplification of statistical errors can be reduced by applying a noise filter after desmearing. In most cases investigated, the modified Lake algorithm yields better results with a significantly smaller number of iterations and is, therefore, suitable for automated desmearing of large numbers of data sets.

Anadromous Sturgeons: Habitats, Threats, and Management

2007 ◽  
Keyword(s):  
South Carolina ◽  
Brackish Water ◽  
Data Sets ◽  
Water Interface ◽  
Atlantic Sturgeon ◽  
Gill Net ◽  
Large Numbers ◽  
Class Strength ◽  
Study Designs ◽  
Acipenser Oxyrinchus

<em>Abstract</em>.—The anadromous Atlantic sturgeon <em>Acipenser oxyrinchus</em> once supported an important commercial fishery throughout its range (northern Florida, USA, to Labrador, Canada). All surviving populations are apparently depleted, presumably due to overfishing, pollution, and dam construction. A complete moratorium on the fishery has been established in U.S. waters. Unfortunately, population status is unknown for nearly all systems. Several 1994–2001 data sets from South Carolina rivers were examined for their potential in development of recruitment (year-class abundance) indices. Because Atlantic sturgeon often begin leaving their natal systems at age 2, after which they occupy other systems and then presumably return to natal areas at sexual maturity several years later, a valid river-specific abundance index must be based on either age0–1 or adult fish. Working with three former commercial Atlantic sturgeon fishermen to collect adults in two rivers during the spring and fall of 1998 resulted in collection of only 39 fish in 13 nominal age-classes. In another river, 2 years of monthly sampling with multipanel, anchored gill nets and otter trawls at eight stations throughout the estuary produced only 31 juvenile Atlantic sturgeon. Neither of these study designs provided adequate sample sizes. However, sampling in a clean-bottom section at the freshwater–brackish water interface of the Edisto River with a modified drift gill net produced large numbers of small Atlantic sturgeon. More than 3,000 juveniles have been collected and tagged since 1994. The 1,331 nominal age-1 Atlantic sturgeon that were captured displayed a distinct bimodal length frequency distribution, supporting the hypothesis that there are both spring and fall spawning events. A period of record drought impeded sampling efforts during a portion of this study. However, when flows and bottom configurations allow nets to be fished at the freshwater–brackish water interface, the gears and methods employed in the Edisto River can produce an age-1 Atlantic sturgeon catch per unit effort that is high enough to be used in estimating relative year-class strength.

Psychological Assessment of the Eating Disorders

2017 ◽  
Author(s):  
Drew A. Anderson ◽  
Joseph Donahue ◽  
Lauren E. Ehrlich ◽  
Sasha Gorrell
Keyword(s):  
Eating Disorders ◽  
Eating Disorder ◽  
Psychological Assessment ◽  
Functional Approach ◽  
Self Report ◽  
Behavioral Measures

Clinicians and researchers have several approaches with which to assess eating disorder and related symptomatology, including interviews, self-report instruments, and behavioral measures. The purpose of this chapter is to describe a process, based on a functional approach, that will help assessors to develop assessments and choose instruments for eating disorders and eating-related problems. This approach takes into account both theoretical and practical concerns and allows assessors to individualize their assessments depending on their particular needs. This process starts with broad considerations about the context in which the assessment is to be given and ends with the choice of specific instruments to be used.

Improving Quality and Safety Through Use of Secondary Data: Methods Case Study

2016 ◽  
Vol 39 (11) ◽  
pp. 1477-1501 ◽  
Author(s):  
Victoria Goode ◽  
Nancy Crego ◽  
Michael P. Cary ◽  
Deirdre Thornlow ◽  
Elizabeth Merwin
Keyword(s):  
Research Question ◽  
Secondary Data ◽  
Data Access ◽  
Data Sets ◽  
Complex Data ◽  
Management Skills ◽  
Data Set ◽  
Large Numbers ◽  
Need To Evaluate

Researchers need to evaluate the strengths and weaknesses of data sets to choose a secondary data set to use for a health care study. This research method review informs the reader of the major issues necessary for investigators to consider while incorporating secondary data into their repertoire of potential research designs and shows the range of approaches the investigators may take to answer nursing research questions in a variety of context areas. The researcher requires expertise in locating and judging data sets and in the development of complex data management skills for managing large numbers of records. There are important considerations such as firm knowledge of the research question supported by the conceptual framework and the selection of appropriate databases, which guide the researcher in delineating the unit of analysis. Other more complex issues for researchers to consider when conducting secondary data research methods include data access, management and security, and complex variable construction.

Article

2002 ◽  
Vol 19 (2) ◽  
pp. 106-122 ◽  
Author(s):  
Einar Ødegård ◽  
Anne Line Bretteville-Jensen ◽  
Astrid Skretting
Keyword(s):  
Drug Abuse ◽  
Cohort Analysis ◽  
Age Groups ◽  
Data Sets ◽  
Age Group ◽  
Heroin Abuse ◽  
Large Numbers ◽  
Heroin Abusers ◽  
Questionnaire Surveys ◽  
Questionnaire Studies

Einar Ødegård & Anne Line Bretteville-Jensen & Astrid Skretting: The development of drug abuse in Norway in the 1990s This article aims to shed light on the development of drug abuse in Norway during the 1990s. The data come from various different sources, including questionnaire studies as well as other data sets describing the extent of drug abuse in the country. There has been a marked increase in drug abuse during the 1990s. Data from annual youth surveys in 1990 to 1995 indicate that between 8 and 10 per cent of youths aged 15–20 had ever used cannabis, whereas the figure during the latter half of the decade was substantially higher at 18–19 per cent. Surveys in the whole population also point at an increase from 1991 through to 1999: in 1991 the proportion indicating they had ever used cannabis was 8.2%, by 1999 the figure had risen to 12.5%. Furthermore, a simple cohort analysis clearly indicates that large numbers are continuing to use cannabis: the figures are also rising in older age groups. With the growing prevalence of cannabis use in younger age groups we may therefore expect to see increasing numbers of regular and frequent cannabis users in the whole population as well. Drug seizures by the police and customs have increased sharply during the latter half of the 1990s: this applies not only to amphetamine and ecstasy but also cocaine and LSD. This is supported by the results of annual questionnaire surveys among youths, who are reporting a marked increase in the use of these types of drugs. In the early 1990s around 1% of youths in the age group 15–20 said they had ever used amphetamine. This figure remained more or less unchanged through to the mid-1990s. However by the end of the decade around 4% said they had used amphetamine. The data from youth surveys furthermore indicate that there is considerable overlap in the use of amphetamine and ecstasy. In this material the sharpest increase is recorded in the proportion of those indicating they have used both amphetamine and ecstasy. There are several indicators which describe the extent of heroin abuse. All these indicators show that there has been a sharp increase in heroin abuse during the 1990s. A simple mortality analysis suggests that the number of heroin abusers has doubled over the past decade. Drug abuse has also spread markedly both in relation to age groups and geographically: today the problem is by no means limited to any specific age group, nor just to a few major cities.

scholarly journals Formalized Computer-Aided Handwriting Psychology: Validation and Integration into Psychological Assessment

2020 ◽  
Vol 10 (1) ◽  
pp. 27
Author(s):  
Yury Chernov ◽  
Claudia Caspers
Keyword(s):  
Personality Traits ◽  
Psychological Assessment ◽  
Self Report ◽  
Personality Factor ◽  
Personality Test ◽  
Handwriting Analysis ◽  
Context Specificity ◽  
Additional Information ◽  
Computer Aided ◽  
Personality Factor Questionnaire

In contrast to traditional researches that involve a manual, non-quantitative, and subjective way of performing handwriting analysis, in the current research, a special computer-aided method of revised handwriting analysis is used. It includes the detection of personality traits via manual quantitative registration of handwriting signs and their automated quantitative evaluation. This method is based on a mathematical–statistical model that integrates multiple international publications on the evaluation of handwriting signs. The first aim is the validation of the revised method against the 16 Personality Factor Questionnaire Revised (16PF-R), which is performed as a self-report personality test by test persons and was developed and researched empirically by Raymond B. Cattell et al. A second aim is the development of an integrated model for assessment including handwriting analysis: when both methods come to the same result on a certain scale, then the construct can be accepted with higher reliability; in contrast, when results are contradictory, they should be regarded as a limitation of each method and raise awareness in the researchers, as these contradictions are a precious source of additional information regarding the complexity, ambiguity, and context specificity of personality traits.

Evaluation of weigh-in-motion in Manitoba

1999 ◽  
Vol 26 (5) ◽  
pp. 655-666 ◽  
Author(s):  
Xun Zhi ◽  
Ahmed Shalaby ◽  
Dan Middleton ◽  
Alan Clayton
Keyword(s):  
Primary Objective ◽  
Vehicle Classification ◽  
Design Management ◽  
Western Canada ◽  
Data Sets ◽  
Survey Period ◽  
Weigh In Motion ◽  
Large Numbers ◽  
Traffic Volumes ◽  
American Society

The primary objective of a weigh-in-motion (WIM) system is to provide highway designers and agencies with information on the loads and traffic volumes using a particular highway, thereby facilitating improved pavement design, management, and weight enforcement. In this paper, the historic performance of WIM systems in Manitoba is evaluated. The results indicate that large numbers of unreasonable data are produced from the WIM systems, calibration procedures are not standardized, and there is drift in calibration. The performance of the Brokenhead WIM system was evaluated through a detailed survey conducted at the Brokenhead WIM site and the Westhawk Permanent Truck Weigh Station in August 1997. The Brokenhead site is on the Trans-Canada highway east of Winnipeg. It is the only WIM system in the country that measures truck characteristics and movements between eastern and western Canada. The survey produced a large database permitting the comparison of truck dimension measurements, truck weights, and vehicle classification between those produced by the WIM system and those observed manually. The results indicate that WIM axle-spacing data sets were outside the tolerance for 95% conformity specified by the American Society for Testing and Materials (ASTM). The system classified 5 to 9 axle combination trucks more accurately than some 2- and 3-axle vehicles. The WIM system underestimated about 90% of truck weights in the survey period. The degree of underestimation exceeded 50% of the corresponding static weights. This finding highlights the importance of quality control and corrections on WIM data prior to their use in research or engineering practice.Key words: weigh-in-motion, vehicle classification, calibration, axle spacing, axle load.

scholarly journals INTERRELATED TWO-WAY CLUSTERING AND ITS APPLICATION ON GENE EXPRESSION DATA

2005 ◽  
Vol 14 (04) ◽  
pp. 577-597 ◽  
Author(s):  
CHUN TANG ◽  
AIDONG ZHANG
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Domain Knowledge ◽  
Gene Clusters ◽  
Data Sets ◽  
Messenger Rnas ◽  
Expression Data ◽  
Large Numbers ◽  
Clustering Approach ◽  
Mrna Expression Profiling

Microarray technologies are capable of simultaneously measuring the signals for thousands of messenger RNAs and large numbers of proteins from single samples. Arrays are now widely used in basic biomedical research for mRNA expression profiling and are increasingly being used to explore patterns of gene expression in clinical research. Most research has focused on the interpretation of the meaning of the microarray data which are transformed into gene expression matrices where usually the rows represent genes, the columns represent various samples. Clustering samples can be done by analyzing and eliminating of irrelevant genes. However, majority methods are supervised (or assisted by domain knowledge), less attention has been paid on unsupervised approaches which are important when little domain knowledge is available. In this paper, we present a new framework for unsupervised analysis of gene expression data, which applies an interrelated two-way clustering approach on the gene expression matrices. The goal of clustering is to identify important genes and perform cluster discovery on samples. The advantage of this approach is that we can dynamically manipulate the relationship between the gene clusters and sample groups while conducting an iterative clustering through both of them. The performance of the proposed method with various gene expression data sets is also illustrated.

Can the Comprehensive Assessment of Psychopathic Personality Be Used to Measure the Triarchic Model Constructs of Boldness, Meanness, and Disinhibition? A Scale Derivation Study

2020 ◽  
pp. 1-S8
Author(s):  
John F. Edens ◽  
Shannon Toney Smith ◽  
Karolina Sörman ◽  
Shannon E. Kelley ◽  
Allison Rulseh ◽  
...  
Keyword(s):  
Mental Health Professionals ◽  
Rating Scale ◽  
Comprehensive Assessment ◽  
Probation Officers ◽  
Self Report ◽  
Psychopathic Personality ◽  
Future Research ◽  
Data Sets ◽  
Jail Inmates ◽  
Triarchic Model

Can the components of the triarchic model of psychopathy (i.e., boldness, meanness, disinhibition) be operationalized using the item pool comprising the Comprehensive Assessment of Psychopathic Personality (CAPP) model? To address this question, the authors first derived CAPP-based triarchic scales using standard item-selection procedures and then examined the external correlates of these provisional scales in three archival data sets: (a) U.S. jail inmates administered the institutional rating scale version of the CAPP and (b and c) prototypicality ratings of the CAPP traits provided by Swedish forensic mental health professionals and U.S. probation officers. Although most research on triarchic constructs has relied exclusively on self-report inventories, the results suggest that the CAPP model can be reorganized to reflect boldness, meanness, and disinhibition and that its institutional rating scale items can effectively quantify these constructs using interview and file review data. Implications for future research on the measurement and assessment of psychopathic traits are discussed.

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