Normative data for the Novaco Anger Scale from a non-clinical sample and implications for clinical use

1999 ◽  
Vol 38 (4) ◽  
pp. 417-424 ◽  
Author(s):  
J. P. Jones ◽  
B. A. Thomas-Peter ◽  
A. Trout
Keyword(s):  
Normative Data ◽  
Clinical Sample ◽  
Clinical Use

The Prospective and Retrospective Memory Questionnaire (PRMQ): Normative data and latent structure in a large non-clinical sample

Memory ◽  
2003 ◽  
Vol 11 (3) ◽  
pp. 261-275 ◽  
Author(s):  
John Crawford ◽  
Geoff Smith ◽  
Elizabeth Maylor ◽  
Sergio Della Sala ◽  
Robert Logie
Keyword(s):  
Normative Data ◽  
Clinical Sample ◽  
Latent Structure ◽  
Retrospective Memory ◽  
Memory Questionnaire

Normative data for PID-5 domains, facets, and personality disorder composites from a representative sample and comparison to community and clinical samples

2021 ◽  
Author(s):  
Josh Miller ◽  
Christopher James Hopwood ◽  
Leonard Simms ◽  
Donald Lynam
Keyword(s):  
Clinical Practice ◽  
Personality Disorders ◽  
Representative Sample ◽  
Alternative Model ◽  
Normative Data ◽  
Clinical Sample ◽  
Clinical Samples ◽  
Dsm 5 ◽  
Lack Of Information ◽  
Sum Score

The introduction of the Alternative Model of Personality Disorders (AMPD) in the fifth edition of the Diagnostic and Statistical Model of Mental Disorders (DSM-5, APA, 2013) represented a substantive change in how personality disorders (PDs) are diagnosed. One barrier to its adoption (among several) in clinical practice, however, is a lack of information as to what constitutes an elevated score on the 25 domains and facets that comprise Criterion B. Unique sets of facets can be configured to assess any one of six PDs retained in the AMPD; each of these facets can in turn be added to create a PD sum score. In the current study, using the Personality Inventory for DSM-5 (PID-5; Krueger et al., 2012), we report mean scores using this instrument that align with 1.0, 1.5, and 2.0 standard deviation elevations for each of these six PDs on the basis of Krueger and colleagues (2012) representative sample, and compare these to those obtained from a community and a clinical sample. These normative data may be useful to clinicians in determining whether a client has elevated scores on pathological personality domains, facets, or PDs.

The SF-36 Physical and Mental Health Summary Measures: An Example of How to Interpret Scores

1998 ◽  
Vol 3 (2) ◽  
pp. 92-96 ◽  
Author(s):  
Crispin Jenkinson
Keyword(s):  
Mental Health ◽  
Normative Data ◽  
Clinical Sample ◽  
Community Sample ◽  
Sleep Apnoea ◽  
Postal Survey ◽  
Physical And Mental Health ◽  
Obstructive Sleep ◽  
Sf 36 ◽  
Mental Health Component Summary

Objectives: To provide normative data, in the form of percentile scores from a community sample, for the Physical Component and Mental Health Component Summary scores derived from the SF-36, and to provide an example of how to interpret scores on these measures, comparing normative results with data from a clinical sample. Method: Normative data were gained from a postal survey using a questionnaire, containing the SF-36 and a number of other items concerned with lifestyles and illness. The questionnaire was sent to 13 042 randomly selected subjects between the ages of 18 and 64 years, drawn from Family Health Services Authority computerised registers for four English counties. The clinical sample comprised 84 patients aged 18–64 years diagnosed with obstructive sleep apnoea (OSA) who were asked to take part in the study. The Physical Component Summary (PCS) score and Mental Health Component Summary (MCS) score gained from the SF-36 health status measure were the outcome measures. Results: The community survey achieved a response rate of 72% (n = 9332). All 84 patients in the age range 18–64 years approached to take part in the OSA study agreed to do so; complete data were available for 60 patients. Results indicated that, prior to treatment, 75% of OSA patients' scores on the PCS/MCS were less than the standardised mean score of 50 and fell in the lowest 34% of scores in the general population. However, after treatment, over 50% of patients scored above the standardised mean score on both the PCS and MCS and more closely mirrored the distribution of the normative sample. Conclusion: The data provided here should enable a more meaningful presentation of data than is generally provided in research papers presenting SF-36 summary scores.

Normative data for the HADS from a large non-clinical sample

2001 ◽  
Vol 40 (4) ◽  
pp. 429-434 ◽  
Author(s):  
J. R. Crawford ◽  
J. D. Henry ◽  
C. Crombie ◽  
E. P. Taylor
Keyword(s):  
Normative Data ◽  
Clinical Sample

The Emerging Importance of High-Resolution Manometry in the Evaluation and Treatment of Deglutition in Infants, Children, and Adults: New Opportunities for Speech-Language Pathologists

2020 ◽  
Vol 29 (2S) ◽  
pp. 945-955
Author(s):  
Kate Davidson ◽  
Ashli O'Rourke ◽  
John E. Fortunato ◽  
Sudarshan Jadcherla
Keyword(s):  
Deglutition Disorders ◽  
High Resolution ◽  
Normative Data ◽  
Human Perception ◽  
Research Tool ◽  
Clinical Use ◽  
High Resolution Manometry ◽  
Speech Language Pathologist ◽  
Valuable Adjunct ◽  
Prolonged Testing

Purpose Diagnostic precision and prolonged testing before, during, and after deglutition is lacking across the age spectrum. Conventional clinical evaluation and radiologic methods are widely used but are reliant on human perception, carrying the risk of subjectivity. High-resolution manometry (HRM) is an emerging clinical and research tool and has the capability to objectively measure the dynamics, kinetics, regulatory, and correlation aspects of deglutition. Method We review the basics of manometry and the methods, metrics, and applications of this technology across the age spectrum. The goal is to aid in the translation of HRM from research tool to clinical use by the speech-language pathologist in the development of better global plans to understand normal and abnormal deglutition. Results HRM is an easily adaptable precise diagnostic tool that can be used to examine deglutition phases and abnormalities across the age spectrum from neonates to nonagenarians and can be a valuable adjunct to specialty evaluation of persistent deglutition disorders. Conclusion New opportunities will emerge upon further research for larger-scale translation once normative data and recognition of biomarkers of abnormality are ascertained.

scholarly journals Five-factor model of personality disorders: Spanish normative data and validation

2018 ◽  
Vol 34 (2) ◽  
pp. 264 ◽  
Author(s):  
Joaquín Colodro ◽  
Juan J. López-García ◽  
Laura Mezquita ◽  
Lucía Colodro-Conde ◽  
Manuel I. Ibáñez ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Normative Data ◽  
Factor Model ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Applied Psychology ◽  
Ex Post ◽  
Ex Post Facto ◽  
Using Data ◽  
Ex Post Facto Study

The categorical approach of personality disorders (PD) has given way to a dimensional paradigm. Within this, the Five-factor model (FFM) proposes theoretical hypotheses describing personality pathologies and PD empirical prototypes based on the DSM (DSM-PD). Moreover, a methodology to score DSM-PD using the NEO PI-R facets was developed. In this ex post-facto study FFM-PD count norms were developed using data from the NEO PI-R Spanish adaptation. Furthermore, the diagnostic agreement with the IPDE and validity of FFM-PD counts was analyzed in a clinical (<em>n</em> = 222) and non-clinical sample (<em>n</em> = 742). Based on NEO PI-R scores, we presented Spanish FFM-PD normative data. FFM-PD benchmarks were highly likely to be exceeded if subjects were classified as a subclinical case in the DSM-PD. Convergent correlations of FFM-PD counts with their equivalent subclinical cases of DSM-PD were statistically significant and outperformed any divergent correlation as well as the average divergent correlations in all FFM-PD. The use of a count technique based on NEO PI-R facets and Spanish FFM-PD normative data facilitate PD understanding and interpretation in various applied psychology fields.

Normative Data for an Australian Clinical Sample on the Home Situations Questionnaire — Modified Version (HSQ-M)

1999 ◽  
Vol 16 (4) ◽  
pp. 207-218 ◽  
Author(s):  
Stephen Matthey ◽  
Bryanne Barnett
Keyword(s):  
Normative Data ◽  
Clinical Sample ◽  
Assessment Tools ◽  
Parenting Groups ◽  
Problem Situations ◽  
Clinically Significant

AbstractAn extension of the Home Situations Questionnaire is described (HSQ-M), and normative data for an Australian clinical sample are reported. Reports were obtained from both female (339) and male (143) informants on 403 children aged between 3 and 12 (287 boys, 116 girls) from nine centres in Sydney. Clinicians from these centres predicted the likely findings on the HSQ-M, and their expectations were not wholly supported by the data. Boys were reported to have more problem situations than girls by fathers but not by mothers, and boys were reported as having greater situation severity than girls by mothers but not by fathers. While these differences were statistically significant, they were not clinically significant. Contrary to expectations, fathers reported similar levels of home situation difficulty to mothers. The data provide useful information for targeting situations that would meet the need of parents in parenting groups, and for supplementing the assessment tools used by clinicians working with families.

Language Sampling With Adolescents: Building a Normative Database With Fables

2017 ◽  
Vol 26 (3) ◽  
pp. 908-920 ◽  
Author(s):  
Marilyn A. Nippold ◽  
Laura M. Vigeland ◽  
Megan W. Frantz-Kaspar ◽  
Jeannene M. Ward-Lonergan
Keyword(s):  
Language Development ◽  
Normative Data ◽  
Spoken Language ◽  
Clinical Use ◽  
Syntactic Complexity ◽  
Systematic Analysis ◽  
Normative Database ◽  
Complex Syntax ◽  
Language Sampling ◽  
Diverse Groups

Purpose The goal of the study was to create a language sampling task appropriate for adolescents and to contribute normative data from speakers with typical language development. Method Thirty adolescents (mean age = 14 years, 1 month) participated in an interview that involved the retelling and interpretation of 4 Greek fables. Each speaker's performance on the task was audio-recorded, transcribed verbatim, and entered into the Systematic Analysis of Language Transcripts computer program (Miller & Iglesias, 2015). Samples were analyzed statistically for language productivity and syntactic complexity. In addition, each participant's perspective on the moral messages of the fables was examined informally. Results The Fables task was effective in prompting adolescents to use complex language and in encouraging them to express their opinions about the moral messages. Although boys and girls did not differ in their performance on the task, some fables were more effective than others at eliciting spoken language and complex syntax. Moreover, the adolescents tended to agree with the moral messages of the fables and appeared to find them relevant to their lives. Conclusion The Fables task has potential for clinical use with adolescents. Research is necessary to expand the normative database to include larger and more diverse groups of adolescents.

Sign in / Sign up

Export Citation Format

Share Document