scholarly journals Can We Trust the Internet to Measure Psychotic Symptoms?

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Steffen Moritz ◽  
Niels Van Quaquebeke ◽  
Tania M. Lincoln ◽  
Ulf Köther ◽  
Christina Andreou
Keyword(s):  
Psychometric Properties ◽  
Applied Research ◽  
Self Report ◽  
Psychotic Symptoms ◽  
The Internet ◽  
Positive Symptoms ◽  
Internet Studies ◽  
Instrument Measuring ◽  
Clinical Indices ◽  
Real Patients

Online studies are increasingly utilized in applied research. However, lack of external diagnostic verification in many of these investigations is seen as a threat to the reliability of the data. The present study examined the robustness of internet studies on psychosis against simulation. We compared the psychometric properties of the Community Assessment of Psychic Experiences scale (CAPE), a self-report instrument measuring psychotic symptoms, across three independent samples: (1) participants with a confirmed diagnosis of schizophrenia, (2) participants with self-reported schizophrenia who were recruited over the internet, and (3) clinical experts on schizophrenia as well as students who were asked to simulate a person with schizophrenia when completing the CAPE. The CAPE was complemented by a newly developed 4-item psychosis lie scale. Results demonstrate that experts asked to simulate schizophrenia symptoms could be distinguished from real patients: simulators overreported positive symptoms and showed elevated scores on the psychosis lie scale. The present study suggests that simulated answers in online studies on psychosis can be distinguished from authentic responses. Researchers conducting clinical online studies are advised to adopt a number of methodological precautions and to compare the psychometric properties of online studies to established clinical indices to assert the validity of their results.

scholarly journals T91. THE POSITIVE AND NEGATIVE SYNDROME SCALE SUPERIOR TO A SELF-REPORT QUESTIONNAIRE IN THE PHARMACOTHERAPY MONITORING AND OUTCOME SURVEY

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S266-S266
Author(s):  
Annegien Bartels-Velthuis ◽  
Koen Ties ◽  
Ellen Visser ◽  
Johan Arends ◽  
Marieke Pijnenborg ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Self Report ◽  
Psychotic Symptoms ◽  
Positive Symptoms ◽  
Data Set ◽  
Syndrome Scale ◽  
Outcome Monitoring ◽  
Negative Syndrome

Abstract Background Aiming to improve the quality of care for patients with a psychotic disorder, the ongoing Pharmacotherapy Monitoring Outcome Survey (PHAMOUS) started in 2006 in four large mental health care organizations in the Northern Netherlands, by adding it to the at that time mandatory Routine Outcome Monitoring program. However, since the cuts in the financial budgets for mental health care, research nurses are increasingly experiencing time-pressure in the assessments. The Positive and Negative Syndrome Scale (PANSS), part of the assessment, is a time-consuming interview, taking approximately 30 minutes. Therefore, we developed and validated a short self-report questionnaire assessing positive psychotic symptoms, the Brief Positive Symptoms Questionnaire (BPSQ). Methods The BPSQ was added to PHAMOUS and filled in once by patients in four mental health care institutions in 2017 and 2018. The BPSQ consists of nine items and takes about 2–3 minutes to complete. It was validated against the PANSS positive scale and two items of the Health of the Nations Outcome Scale (HoNOS), with item 6 assessing the problems that patients experience due to hallucinations and delusions and item 8 assessing further mental and behavioural problems. Results BPSQ data were obtained from n=287 patients (mean age 47.1 years, 67.6% male). The PANSS was assessed in n=244 and HoNOS data were available for n=156 patients. Scores of one patient were considered unreliable and thus removed from the data set. The BPSQ had a Cronbach’s alpha of .81. Spearman’s correlation coefficient of the BPSQ and the PANSS positive scale was significant (ρ(243) = .63, p < .05). Correlations between the BPSQ and HoNOS items 6 and 8 were significant (ρ(155) = .488, p < .05 and ρ(155) = .251, p < .05 respectively). Post hoc analysis showed that the more severely psychotic the patients were, the less the BPSQ and the PANSS positive scale were corresponding. Discussion Given the medium correlation of the BPSQ with the PANSS positive scale and the low concurrent validity with the two relevant HoNOS items, we argue that the widely used and validated PANSS is indispensable in the PHAMOUS assessment of positive symptoms in a chronic population with psychotic disorders. Replication of this study in first-episode psychotic patients is recommended.

scholarly journals Benefits of Social Contact in Individuals With Psychotic Symptoms: Do Closeness of the Contact and Empathic Skills Make the Difference?

2021 ◽  
Vol 12 ◽  
Author(s):  
Lisa J. G. Krijnen ◽  
Imke L. J. Lemmers-Jansen ◽  
Anne-Kathrin J. Fett ◽  
Lydia Krabbendam
Keyword(s):  
Mental Health ◽  
Positive Affect ◽  
Close Contact ◽  
Treatment Success ◽  
Social Contact ◽  
Total Sample ◽  
Self Report ◽  
Mental Wellbeing ◽  
Psychotic Symptoms ◽  
Positive Symptoms

Objectives: Social contact is known to be beneficial for humans’ mental health. Individuals with psychotic symptoms (PS) tend to show poorer social and interpersonal functioning. However, in this patient population, social contact may be crucial for their mental wellbeing and treatment success. Additionally, closeness of social contact (familiar versus less familiar others), rather than only the presence or absence of social contacts, may play an important role. Empathy may heighten the beneficial effects of social/close contact on mental health, facilitating interactions. We investigated the association between social contact and closeness of contact on mental health, defined as positive symptoms, positive affect and negative affect in PS and control participants, with empathy as a moderator.Methods: Participants were 16–30 years old. Information regarding social/close contact and mental health was obtained using the experience sampling method in individuals with PS (n = 29) and healthy controls (n = 28). Empathy was measured using a self-report questionnaire.Results: Social contact was associated with higher positive affect in the total sample. Contact with close as opposed to less close others was related to better mental health: It was associated with lower positive symptoms in the PS group, and with more positive affect in the total sample. Empathy moderated the association between closeness of contact and positive affect in the total sample, in which the combination of higher levels of empathy combined with the presence of close contact was associated with higher positive affect in the total sample. However, the direct association between empathy and positive affect was not significant per group of contact.Conclusion: The results suggest that social contact, but especially contact with a close other is important for mental health outcomes: Contact with close others is beneficial for positive affect in the total sample and for positive symptoms in individuals with PS.

Psychometric Properties of the Social Phobia and Anxiety Inventory for Children (SPAI-C)

2012 ◽  
Vol 28 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Anna Ogliari ◽  
Simona Scaini ◽  
Michael J. Kofler ◽  
Valentina Lampis ◽  
Annalisa Zanoni ◽  
...  
Keyword(s):  
General Population ◽  
Social Phobia ◽  
Psychometric Properties ◽  
Emotional Disorders ◽  
Child Anxiety ◽  
Self Report ◽  
Public Performance ◽  
Confirmatory Factor Analyses ◽  
The Social ◽  
General Populations

Reliable and valid self-report questionnaires could be useful as initial screening instruments for social phobia in both clinical settings and general populations. The present study investigates the factor structure and psychometric properties of the Social Phobia and Anxiety Inventory for Children (SPAI-C) in a sample of 228 children from the Italian general population aged 8 to 11. The children were asked to complete the Italian version of the SPAI-C and the Screen for Child Anxiety Related Emotional Disorders (SCARED) questionnaire. Confirmatory factor analyses revealed that social phobia can be conceptualized as a unitary construct consisting of five distinct but interrelated symptom clusters named Assertiveness, General Conversation, Physical/Cognitive Symptoms, Avoidance, and Public Performance. Internal consistency of the SPAI-C total scores and two subscales was good; correlations between SPAI-C total scores and SCARED total scores/subscales ranged from moderate to high (Generalized Anxiety Disorder, for social phobia), with the SCARED Social Phobia subscale as the best predictor of SPAI-C total scores. The results indicate that the SPAI-C is a reliable and sensitive instrument suitable for identifying Social Phobia in the young Italian general population.

Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström
Keyword(s):  
Psychometric Properties ◽  
Self Efficacy ◽  
Rating Scale ◽  
Measurement Precision ◽  
The Self ◽  
Test Theory ◽  
Self Report ◽  
Scale Model ◽  
Validity And Reliability ◽  
Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

Development and Psychometric Properties of a New Scale: The Self-Report Scale for Schizoid Behaviors (SRSSB)

2012 ◽  
Author(s):  
Peter D. Marle ◽  
Alisa J. Estey ◽  
Laura J. Finan ◽  
Karenleigh A. Overmann
Keyword(s):  
Psychometric Properties ◽  
The Self ◽  
Self Report

Evaluation of positive and negative symptoms in schizophrenia

1986 ◽  
Vol 1 (2) ◽  
pp. 108-122 ◽  
Author(s):  
Nancy C. Andreasen ◽  
William M. Grove
Keyword(s):  
Negative Symptoms ◽  
The United States ◽  
Psychotic Symptoms ◽  
Positive Symptoms ◽  
University Of Iowa ◽  
Normal Functions ◽  
Subsequent Investigation ◽  
The University ◽  
The Relationship ◽  
Positive And Negative Symptoms

SummaryMost investigators concur that schizophrenia is probably a heterogeneous group of disorders that share the common features of psychotic symptoms, partial response to neuroleptics, and a relatively poor outcome. The subdivision of schizophrenia into two subtypes, positive versus negative, has achieved wide acceptance throughout the world during recent years. This distinction has heuristic and theoretical appeal because it unites phenomenology, pathophysiology, and etiology into a single comprehensive hypothesis.In spite of its wide appeal, the distinction has a number of problems. These include the failure to distinguish between symptom syndromes and diseases; failure to deal with the mixed patient; failure to take longitudinal course into account; and failure to address conceptually and methodologically the distinction between positive and negative symptoms.This paper focuses primarily on the conceptual basis for two instruments designed to measure positive and negative symptoms, the Scale for the Assessment of Negative Symptoms (SANS) and the Scale for the Assessment of Positive Symptoms (SAPS), originally described in 1982. Since their description, these scales have been used in a variety of other centers. These scales are based on the hypothesis that negative symptoms represent a deficit or diminution in normal psychological functions wliile positive symptoms represent an excess or distortion of normal functions. Reliability data are now available from Italy, Spain, and Japan which suggest that these scales can be used reliably in cultural settings outside the United States. The results of these studies are summarized in this paper. In addition, a replication study involving a new sample of 117 schizophrenics collected at the University of Iowa is described. In this second study of the SANS and SAPS, internal consistency is found to be quite high in the SANS. Thus negative symptoms appear to be more internally correlated with one another than are positive symptoms. The implications of this result are discussed. A principal components analysis is used to explore the relationship between positive and negative symptoms. While the study reported in 1982 suggested that positive and negative symptoms are negatively correlated, in the present study they appear to be uncorrelated. Overall, the results suggest that the SANS and SAPS are useful comprehensive instruments for the evaluation of positive and negative symptoms. The relationship between these symptoms and external validators such as cognitive functioning or CT scan abnormalities will be reported in a subsequent investigation.

scholarly journals Cross-cultural adaptation and psychometric properties of the Kessler Distress Scale (K10): an application of the rating scale model

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Evandro Morais Peixoto ◽  
Daniela Sacramento Zanini ◽  
Josemberg Moura de Andrade
Keyword(s):  
Psychological Distress ◽  
Psychometric Properties ◽  
Rating Scale ◽  
Self Report ◽  
Clinical Population ◽  
Scale Model ◽  
General Factor ◽  
Measurement Models ◽  
Distress Scale ◽  
Rating Scale Model

Abstract Background The Kessler Distress Scale (K10) is a self-report scale for the assessment of non-specific psychological distress in the general and clinical population. Because of its ease of application and good psychometric properties, the K10 has been adapted to several cultures. The present study seeks to adapt the K10 to Brazilian Portuguese and estimate its validity evidence and reliability. Methods A total of 1914 individuals from the general population participated in the study (age = 34.88, SD = 13.61, 77.7% female). The adjustment indices were compared among three different measurement models proposed for the K10 through confirmatory factor analysis (CFA). The items’ properties were analyzed by Andrich’s Rating Scale Model (RSM). Furthermore, evidence based on relations to other variables (depression, stress, anxiety, positive and negative affects, and satisfaction with life) was estimated. Results CFA indicated the adequacy of the bifactor model (CFI= 0.985; TLI= 0.973; SMR= 0.019; RMSEA= 0.050), composed of two specific factors (depression and anxiety) and one general factor (psychological distress), corresponding to the theoretical hypothesis. Additionally, it was observed multiple-group invariance by gender and age range. The RSM provided an understanding of the organization of the continuum represented by the psychological distress construct (items difficulty), which varied from −0.89 to 1.00; good adjustment indexes; infit between 0.67 and 1.32; outfit between 0.68 and 1.34; and desirable reliability, α= 0.87. Lastly, theoretically coherent associations with the external variables were observed. Conclusions It is concluded that the Brazilian version of the K10 is a suitable measure of psychological distress for the Brazilian population.

scholarly journals Cyber-safety and COVID-19 in the early years: A research agenda

2021 ◽  
pp. 1476718X2110149
Author(s):  
Susan Edwards
Keyword(s):  
Young Children ◽  
Research Agenda ◽  
Internet Use ◽  
Early Years ◽  
The Internet ◽  
Children And Families ◽  
Internet Studies ◽  
School Aged Children ◽  
Cyber Safety ◽  
Primary And Secondary School

Young children aged birth to 5 years are known users of the internet, both unsupervised and in collaboration with adults. Adults also use the internet to share details of children’s lives with others, via sharenting and educational apps. During COVID-19 internet use by children and families rose significantly during periods of enforced stay-home. Internet use by children, and by adults on behalf exposes children to conduct, contact and content risks online. These risks mean that cyber-safety in the early years is increasingly necessary, especially concerning increased internet usage during COVID-19. While cyber-safety is well developed for primary and secondary-school aged children this is not the case for young children, their families and educators. This paper proposes a research agenda for cyber-safety in the early years, using critical constructivism and internet studies to define the internet as a non-unitary technology. Three main objects of study concerning cyber-safety in the early years, including the reference to COVID-19 are identified for targeted research, including: technologies, context and policy.

scholarly journals Measuring Subjective Sleep Quality: A Review

2021 ◽  
Vol 18 (3) ◽  
pp. 1082
Author(s):  
Marco Fabbri ◽  
Alessia Beracci ◽  
Monica Martoni ◽  
Debora Meneo ◽  
Lorenzo Tonetti ◽  
...  
Keyword(s):  
Construct Validity ◽  
Sleep Quality ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Self Report ◽  
Measurement Properties ◽  
Poor Sleep ◽  
Daily Routine ◽  
Factorial Structure ◽  
Poor Sleep Quality

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.

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