Bipolar disorder, cycloid psychosis and schizophrenia: a study using “lifetime” psychopathology ratings, factor analysis and canonical variate analysis

1991 ◽  
Vol 6 (5) ◽  
pp. 223-236 ◽  
Author(s):  
IF Brockington ◽  
A Roper ◽  
M Buckley ◽  
J Copas ◽  
C Andrade ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Factor Analysis ◽  
Distinct Group ◽  
Factor Loading ◽  
Detailed Examination ◽  
Canonical Variate ◽  
Psychotic Symptoms ◽  
Defect States ◽  
Cycloid Psychosis

SummaryIn an empirical study on the classification of the psychoses, 302 patients were rated using the Longitudinal Psychopathology Schedule. The data were condensed by factor analysis, which yielded 10 factors - mania and schizomania, depression and suicidal activity, and 6 factors concerned with psychotic symptoms (verbal hallucinosis/passivity, delusion formation, defect symptoms, social decline, cycloid symptomatology and a factor loading depressive auditory hallucinations and visual hallucinations). Provisional diagnostic groups were obtained using DSM III. Discriminant function analyses showed that the only clearly distinct diagnostic group was bipolar disorder, and this was true for various definitions. Canonical variate analyses were performed using 3- and 4-criterion groups. These showed that a group corresponding approximately to cycloid psychosis also met criteria for being a distinct group. The most detailed examination pf the data, using 4-criterion groups and serial reclassification, suggested that the psychoses might fall into 5 groups - bipolar disorder, cycloid psychosis, depression, defect states and schizoaffective depression.

Multivariate Statistical Methods and Classification Problems

1971 ◽  
Vol 119 (549) ◽  
pp. 121-127 ◽  
Author(s):  
A. E. Maxwell
Keyword(s):  
Factor Analysis ◽  
Statistical Methods ◽  
Depressive Illness ◽  
Canonical Variate ◽  
Multivariate Techniques ◽  
Classification Problems ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Variate Analysis

Multivariate statistical methods are being used increasingly in an effort to clarify problems in psychiatric classification. Numerous references to their application could be given, but it is sufficient here to mention recent publications by Kiloh and Garside (1963), Carney, Roth and Garside (1965) and by Kendell (1968) which have received especial attention (e.g. Eysenck, 1970), as they are concerned with the longstanding controversy about the classification of depressive illness. But there is some confusion, not least amongst the critics, about the particular roles which different multivariate techniques, notably factor analysis, can play in classification problems, and in this paper an attempt is made to clarify the situation. Almost as a trial of the reader's endurance this attempt necessitates some preliminary discussion of the psychometric concept of a ‘unitary trait’ and of the statistical rules involved in defining it. But after this problem has been disposed of attention is confined to a discussion of the main multivariate techniques in question—factor analysis, discriminant function and canonical variate analysis, and finally cluster analysis. The attitude adopted in the paper is admittedly purist, but when controversy arises, as in the case of the classification of depressive illnesses, it is well to be clear about the precise properties and purposes of the statistical models we employ if confusion is to be avoided.

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

A Study on the Classification of Cyberbullying Behavior by Using Factor Analysis

2017 ◽  
Vol 19 (5) ◽  
pp. 279-305
Author(s):  
Youn Ho Cho
Keyword(s):  
Factor Analysis

Depression among children at shelter care institutions in Terengganu Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Siti Hajar Abdul Rauf ◽  
Asmah Ismail ◽  
Nuratikah Azima Razali ◽  
Ahmad Bisyri Husin Musawi Maliki
Keyword(s):  
Factor Analysis ◽  
Quantitative Research ◽  
Family Stress ◽  
Factor Loading ◽  
Self Esteem ◽  
Keywords Children ◽  
Self Confidence ◽  
Confirmatory Factor ◽  
The Status ◽  
Forward Stepwise

Background: Depression is a state of psychological disease that occurs to someone divers in age due to certain reasons. Among the factors include lack of self-confidence, problematic family, stress, low self-esteem and social environment. It could lead to a mental disorder that endangers the mental health. Aim: To investigate the status of children depression using the Children Depression Inventory (CDI) at 21 shelter care institutions in Terengganu Malaysia. Methodology: Quantitative research design was used. The sample consists of 404 respondents from 21 Islamic shelter cares such as Tahfiz, Madrasah and Orphanage in Terengganu Malaysia from the age of 10 to 18 years. Data was analyzed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Discriminant Analysis (DA) which then computed to identify the most dominant factors whereas reducing the initial five parameters with recommended >0.50 of factor loading. Results: Forward stepwise of DA shows the total of groups validation percentage by 92.08% (17 independent). The result showed that the highest frequency of respondent index was at a moderate level (62.87% respondents). This showed that children still can be controlled and cared to reduce depression. Keywords: Children Depression Index, Depression, Children, Institution, Shelter Care

On the Dimensionality of Measuring Tourist Satisfaction towards Homestay

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Gangaram Biswakarma
Keyword(s):  
Factor Analysis ◽  
Data Collection ◽  
Exploratory Factor Analysis ◽  
Life Style ◽  
Factor Loading ◽  
Primary Data ◽  
Cultural Performance ◽  
Latent Construct ◽  
Tourist Satisfaction ◽  
The Relationship

This study focuses on measuring tourist satisfaction towards home stay. This paper emphasized to identify the variables that are related to tourist satisfaction during tourist homestay. It is also focused on analyzing the relationship and impact of these latent construct of factors to overall tourist satisfaction towards home stay. In an attempt to visualize the purpose, tourists satisfaction in a homestay in Nepal has taken into as a case, with an aim to identify the underlying dimensions of tourist satisfaction during tourist homestay. Twenty six (26) manifest variables of homestay has been formulated to understand the dimensions. Likewise, for a conforming the latent construct (1) statement as dependent variable of overall satisfaction was developed for the purpose of the primary data collection. The manifest variables are basically focused on aspects of home stay attributes namely cultural attraction, hospitality, amenities and safety & security at the home stay destination. Post Exploratory Factor Analysis indicates factor loading for twenty two (22) items manifest variables as significant, loaded with five (5) factors of home stay attributes named as Amenities & Safety, Reception, Local Cuisine & Accommodation, Local Life style & Costumes, and Cultural Performance. This study contributes to the development of survey instrument for exploring tourist satisfaction for Home stay for future researchers.

Classification of ancient proteinaceous painting media by the joint use of pattern recognition and factor analysis on GC/MS data

1999 ◽  
Vol 365 (6) ◽  
pp. 559-566 ◽  
Author(s):  
R. Aruga ◽  
P. Mirti ◽  
A. Casoli ◽  
G. Palla
Keyword(s):  
Pattern Recognition ◽  
Factor Analysis

The classification of cities: Evaluation of Q-mode factor analysis

1973 ◽  
Vol 2 (4) ◽  
pp. 333-355 ◽  
Author(s):  
John N.H. Britton
Keyword(s):  
Factor Analysis

scholarly journals Cognitive appraisals of dissociation in psychosis: a new brief measure

2020 ◽  
pp. 1-13
Author(s):  
Emma Černis ◽  
Jessica C. Bird ◽  
Andrew Molodynski ◽  
Anke Ehlers ◽  
Daniel Freeman
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Intraclass Correlation ◽  
Cognitive Appraisals ◽  
Test Reliability ◽  
Psychotic Symptoms ◽  
Psychotic Experiences ◽  
Internal Reliability ◽  
Dissociative Experiences ◽  
Additional Variance

Abstract Background: Catastrophic cognitive appraisals, similar to those in anxiety disorders, are implicated in depersonalisation, a form of dissociation. No scales exist to measure appraisals of dissociative experiences. Dissociation is common in psychosis. Misinterpretations of dissociative experiences may maintain psychotic symptoms. Therefore, assessing appraisals in this context may be valuable. Aims: The primary aim was to develop a measure of key appraisals of dissociation in psychosis. Secondary aims were to test the relationship between appraisals and psychotic experiences (paranoia and hallucinations), and determine whether appraisals explain additional variance in psychotic symptoms above dissociative symptoms. Method: Fifty items were generated from transcripts of interviews with patients. The measure was developed and psychometrically validated via factor analysis of data from 9902 general population participants and 1026 patients with psychosis. Convergent validity, test–re-test reliability, and internal reliability were assessed. Regression analyses tested relationships with psychotic symptoms. Results: A 13-item single-factor measure was developed. Factor analysis indicated good model fit [χ2(65) = 247.173, comparative fit index (CFI) = 0.960, root mean square error of approximation (RMSEA) = 0.052]. The scale had good convergent validity with a rumination (non-clinical: r = 0.71; clinical: r = 0.73) and dissociation measure (r = 0.81; r = 0.80), high internal consistency (α = 0.93; α = 0.93), and excellent 1-week test–re-test reliability [intraclass correlation (ICC) = 0.90]. It explained variance in psychotic symptoms (paranoia: 36.4%; hallucinations: 35.0%), including additional variance compared with dissociation alone (paranoia: 5.3%; hallucinations: 2.3%). Conclusions: The Cognitive Appraisals of Dissociation in Psychosis (CAD-P) measure is a psychometrically robust scale identifying appraisals of dissociative experiences in psychosis and is associated with the presence of psychotic experiences. It is likely to prove useful for clinical assessment and research.

Polarised views about bipolar disorder(s): A critique of the 2020 College guidelines for mood disorders

2021 ◽  
pp. 000486742110200
Author(s):  
Gordon Parker
Keyword(s):  
Bipolar Disorder ◽  
Mood Disorders ◽  
International Classification Of Diseases ◽  
Bipolar Ii Disorder ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Bipolar Ii ◽  
Classification Of Diseases ◽  
Formal Status

The 2020 College guidelines for mood disorders banish bipolar II disorder – despite its formal status in Diagnostic and Statistical Manual of Mental Disorders and International Classification of Diseases manuals for more than two decades – and argue that there is no need to partition bipolar disorder into separate sub-types. Their single-entity model is seemingly based on opinion rather than any support from referenced scientific studies. The author challenges the Committee’s model of there being only one bipolar disorder and argues that it presents several clinical management risks, particularly of ‘over-treatment’.

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