scholarly journals Factor structure in the Camberwell Assessment of Need

2004 ◽  
Vol 185 (6) ◽  
pp. 505-510 ◽  
Author(s):  
Erik Wennström ◽  
Dag Sörbom ◽  
Frits-Axel Wiesel
Keyword(s):  
Mental Illness ◽  
Factor Analysis ◽  
Severe Mental Illness ◽  
Factor Structure ◽  
Functional Disability ◽  
Factor Model ◽  
Maximum Likelihood Factor Analysis ◽  
Emotional Loneliness ◽  
Camberwell Assessment Of Need ◽  
Assessment Of Need

BackgroundIn order to define needs for care of people with severe mental illness, the Camberwell Assessment of Need (CAN) is focused on measuring personal and social functioning. However, previous studies of the CAN have given inconsistent results in terms of what variables are actually being measured.AimsTo investigate the factor structure of the CAN.MethodAssessments of 741 out-patients (mean age 45.5 years, 50% females) with severe mental illness (68% schizophrenia or other psychotic disorder) were used in an exploratory maximum likelihood factor analysis.ResultsSupport was found for a three-factor model, comprising 13 of the 22 variables in the CAN, with the factors corresponding to functional disability (7 variables), social loneliness (3 variables) and emotional loneliness (3 variables). The remaining variables did not load on any factor.ConclusionsExploratory factor analysis revealed three homogeneous dimensions in the CAN that may represent functional disability and two aspects of social health.

The Camberwell Assessment of Need: The Validity and Reliability of an Instrument to Assess the Needs of People with Severe Mental Illness

1995 ◽  
Vol 167 (5) ◽  
pp. 589-595 ◽  
Author(s):  
Michael Phelan ◽  
Mike Slade ◽  
Graham Thornicroft ◽  
Graham Dunn ◽  
Frank Holloway ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Health Service ◽  
Severe Mental Illness ◽  
Complete Agreement ◽  
Retest Reliability ◽  
New Instrument ◽  
Camberwell Assessment Of Need ◽  
Test Retest Reliability ◽  
Assessment Of Need

BackgroundPeople with severe mental illness often have a complex mixture of clinical and social needs. The Camberwell Assessment of Need (CAN) is a new instrument which has been designed to provide a comprehensive assessment of these needs. There are two versions of the instrument: the clinical version has been designed to be used by staff to plan patients' care; whereas the research version is primarily a mental health service evaluation tool. The CAN has been designed to assist local authorities to fulfil their statutory obligations under the National Health Service and Community Care Act 1990 to assess needs for community services.MethodA draft version of the instrument was designed by the authors. Modifications were made following comments from mental health experts and a patient survey. Patients (n = 49) and staff (n = 60) were then interviewed, using the amended version, to assess the inter-rater and test-retest reliability of the instrument.ResultsThe mean number of needs identified per patient ranged from 7.55 to 8.64. Correlations of the inter-rater and test-retest reliability of the total number of needs identified by staff were 0.99 and 0.78 respectively. The percentage of complete agreement on individual items ranged from 100–81.6% (inter-rater) and 100–58.1% (test-retest).ConclusionsThe study suggests that the CAN is a valid and reliable instrument for assessing the needs of people with severe mental illness. It is easily learnt by staff from a range of professional backgrounds, and a complete assessment took, on average, around 25 minutes.

Comparing needs assessed by staff and by service users: paternalism or partnership in mental health?

2002 ◽  
Vol 11 (3) ◽  
pp. 186-191 ◽  
Author(s):  
Graham Thornicroft ◽  
Mike Slade
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Service Users ◽  
Camberwell Assessment Of Need ◽  
Assessment Of Need

This paper examines two questions. Do staff and service users agree when rating the needs of those with severe mental illness? If not, what is the meaning of these differences? To put these questions in context, we shall define needs, examine one particular way in which needs can be measured in a standardised way, using the Camberwell Assessment of Need, and shall discuss three somewhat similar studies which have compared user and staff rated needs.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Exploring the Factor Structure of the Job Demands-Resources Measure With Patient Violence on Direct Care Workers in the Home Setting

2017 ◽  
Vol 25 (2) ◽  
pp. 257-274 ◽  
Author(s):  
Ha Do Byon ◽  
Donna Harrington ◽  
Carla L. Storr ◽  
Jane Lipscomb
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Job Demands ◽  
Direct Care ◽  
Direct Care Workers ◽  
Home Setting ◽  
Patient Violence ◽  
Measurement Framework ◽  
Care Workers

Background and Purpose: Workplace violence research in health care settings using the Job Demands-Resources (JD-R) framework is hindered by the lack of comprehensive examination of the factor structure of the JD-R measure when it includes patient violence. Is patient violence a component of job demands or its own factor as an occupational outcome? Method: Exploratory factor analysis and confirmatory factor analysis were conducted using a sample of direct care workers in the home setting (n = 961). Results: The overall 2-construct JD-R structure persisted. Patient violence was not identified as a separate factor from job demands; rather, two demand factors emerged: violence/emotional and workload/physical demands. Conclusions: Although the three-factor model fits the data, the two-factor model with patient violence being a component of job demands is a parsimonious and effective measurement framework.

scholarly journals Evaluation of the Factor Structure of the Adolescent Stress Questionnaire in Chinese Adolescents

2018 ◽  
Vol 122 (6) ◽  
pp. 2366-2395
Author(s):  
Tianpeng Ye ◽  
Naixue Cui ◽  
Wen Yang ◽  
Jianghong Liu
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Behavioral Problems ◽  
Romantic Relationship ◽  
Factor Model ◽  
Chinese Adolescents ◽  
School Students ◽  
Cross Cultural Differences ◽  
Distinct Factor ◽  
Adolescent Stress

This study evaluated the psychometric properties of the Chinese version of Adolescent Stress Questionnaire ( ASQ-CN) in a sample of Chinese middle school students ( N = 420; 52.14% boys and 47.86% girls). Iterated principal factor analysis and multiple-group principal components cluster analysis supported a six-factor model with 42 items out of 58 items in the ASQ-CN. The internal consistency was from .82 to .90. Girls reported lower stress levels in one subscale, Stress of romantic relationship, whereas no gender differences were found in the other five subscales. Compared with other studies of the ASQ in Westernized countries, the ASQ-CN showed a distinct factor structure that may be explained by cross-cultural differences. Scales constructed from factor analysis related negatively to measures of mindfulness and positively to a measure of behavioral problems, suggesting that they were valid for Chinese adolescent stress. The study did not support a higher order construct of the ASQ-CN. Altogether, our findings suggest that the ASQ-CN is adequate for assessing stressors in Chinese adolescents.

scholarly journals Empirical Approach to Developing an Optimal Socioeconomic Status Index for Health Surveillance

2022 ◽  
Author(s):  
Jordana LaFantasie ◽  
Francis Boscoe
Keyword(s):  
Socioeconomic Status ◽  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Health Surveillance ◽  
Cancer Surveillance ◽  
Income Poverty ◽  
One Dimensional ◽  
Indicator Variables ◽  
Statistical Consistency

The association between multi-dimensional deprivation and public health is well established, and many area-based indices have been developed to measure or account for socioeconomic status in health surveillance. The Yost Index, developed in 2001, has been adopted in the US for cancer surveillance and is based on the combination of two heavily weighted (household income, poverty) and five lightly weighted (rent, home value, employment, education and working class) indicator variables. Our objectives were to 1) update indicators and find a more parsimonious version of the Yost Index by examining potential models that included indicators with more balanced weights/influence and reduced redundancy and 2) test the statistical consistency of the factor upon which the Yost Index is based. Despite the usefulness of the Yost Index, a one-factor structure including all seven Yost indicator variables is not statistically reliable and should be replaced with a three-factor model to include the true variability of all seven indicator variables. To find a one-dimensional alternative, we conducted maximum likelihood exploratory factor analysis on a subset of all possible combinations of fourteen indicator variables to find well-fitted one-dimensional factor models and completed confirmatory factor analysis on the resulting models. One indicator combination (poverty, education, employment, public assistance) emerged as the most stable unidimensional model. This model is more robust to extremes in local cost of living conditions, is comprised of ACS variables that rarely require imputation by the end-user and is a more parsimonious solution than the Yost index with a true one-factor structure.

scholarly journals Factor Structure and Gender Invariance Testing for the Sport Anxiety Scale-2 (SAS-2)

2018 ◽  
Vol 12 (2) ◽  
pp. 201-217
Author(s):  
Leilani A. Madrigal ◽  
Vincenzo Roma ◽  
Todd Caze ◽  
Arthur Maerlender ◽  
Debra Hope
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Online Survey ◽  
Factor Model ◽  
Anxiety Scale ◽  
Negative Evaluation ◽  
Psychometric Validation ◽  
Confirmatory Factor Analyses ◽  
Analysis Group ◽  
Confirmatory Factor

This study aimed to provide further psychometric validation of the Sport Anxiety Scale-2 (SAS-2) by assessing the factor structure, invariance across gender, and convergent and divergent validity of the SAS-2 by correlating both related (i.e., anxiety sensitivity, brief fear of negative evaluation, intolerance of uncertainty, and negative affect) and unrelated constructs (i.e., positive affect, self-confidence). A total of 542 current and former competitive athletes completed a questionnaire through Amazon’s Mechanical Turk system. All data were collected via online survey. Participants were randomly assigned to an exploratory factor analysis (n = 271) and confirmatory factor analysis group (n = 271). Results indicated that both exploratory and confirmatory factor analyses supported the three-factor model of anxiety involving somatic anxiety, worry, and concentration disruption. Additionally, this study found the SAS-2 to be reliable, gender invariant, and have strong construct validity. Our findings extend the generalizability of the SAS-2 in more varied populations of athletic backgrounds.

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