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.

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

Parallel Factor Analysis for Gas Sensor Array Signals

2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu
Keyword(s):  
Factor Analysis ◽  
Gas Sensor ◽  
Sensor Array ◽  
Parallel Factor Analysis ◽  
Time Profile ◽  
Three Dimension ◽  
Gas Sensor Array ◽  
Parallel Factor ◽  
Sample Time

Data from sensor array are often arranged in three-dimension as sample × time × sensor. Traditional methods are mainly used for two-dimension data. When such methods are applied, some time-profile information will lost. To acquire the information of samples, sensors and times more exactly, parallel factor analysis (PARAFAC) is investigated to deal with three-way data array. Through the analysis and classification of three kinds of oil odor samples, the performance of PARAFAC in gas sensor array signal analysis is verified and validated.

Do the BSRI and PAQ Really Measure Masculinity and Femininity?

2010 ◽  
Vol 13 (2) ◽  
pp. 1000-1009 ◽  
Author(s):  
Juan Fernández ◽  
Mª Teresa Coelleo
Keyword(s):  
High School ◽  
Factor Analysis ◽  
High School Students ◽  
Internal Consistency ◽  
Linear Models ◽  
Sex Role ◽  
School Students ◽  
Bem Sex Role Inventory ◽  
Log Linear

The two most used instruments to assess masculinity (M) and femininity (F) are the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ). Two hypotheses will be tested: a) multidimensionality versus bidimensionality, and b) to what extent the two instruments, elaborated to measure the same constructs, classify subjects in the same way. Participants were 420 high school students, 198 women and 222 men, aged 12–15 years. Exploratory factor analysis and internal consistency analysis were carried out and log-linear models were tested. The data support a) the multidimensionality of both instruments and b) the lack of full concordance in the classification of persons according to the fourfold typology. Implications of the results are discussed regarding the supposed theory behind instrumentality/expressiveness and masculinity/femininity, as well as for the use of both instruments to classify different subjects into the four distinct types.

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.

scholarly journals Accurate classification of secondary progression in multiple sclerosis using a decision tree

2020 ◽  
pp. 135245852097532
Author(s):  
Ryan Ramanujam ◽  
Feng Zhu ◽  
Katharina Fink ◽  
Virginija Danylaitė Karrenbauer ◽  
Johannes Lorscheider ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Decision Tree ◽  
Clinical Judgment ◽  
Clinical Information ◽  
Disease Classification ◽  
Additional Information ◽  
History Of ◽  
Phenotype Transition ◽  
Independent Cohort

Background: The absence of reliable imaging or biological markers of phenotype transition in multiple sclerosis (MS) makes assignment of current phenotype status difficult. Objective: The authors sought to determine whether clinical information can be used to accurately assign current disease phenotypes. Methods: Data from the clinical visits of 14,387 MS patients in Sweden were collected. Classifying algorithms based on several demographic and clinical factors were examined. Results obtained from the best classifier when predicting neurologist recorded disease classification were replicated in an independent cohort from British Columbia and were compared to a previously published algorithm and clinical judgment of three neurologists. Results: A decision tree (the classifier) containing only most recently available expanded disability scale status score and age obtained 89.3% (95% confidence intervals (CIs): 88.8–89.8) classification accuracy, defined as concordance with the latest reported status. Validation in the independent cohort resulted in 82.0% (95% CI: 81.0–83.1) accuracy. A previously published classification algorithm with slight modifications achieved 77.8% (95% CI: 77.1–78.4) accuracy. With complete patient history of 100 patients, three neurologists obtained 84.3% accuracy compared with 85% for the classifier using the same data. Conclusion: The classifier can be used to standardize definitions of disease phenotype across different cohorts. Clinically, this model could assist neurologists by providing additional information.

Construction and Validation of the Clinical Judgment Skill Inventory: Clinical Judgment Skill Competencies That Measure Counselor Debiasing Techniques

2015 ◽  
Vol 29 (1) ◽  
pp. 27-46 ◽  
Author(s):  
Bryan S. Austin ◽  
Michael J. Leahy
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Cognitive Complexity ◽  
Survey Design ◽  
Rehabilitation Counseling ◽  
Reliability And Validity ◽  
Cultural Bias ◽  
Self Report ◽  
Evidence Based ◽  
Empirically Supported

Purpose:To construct and validate a new self-report instrument, the Clinical Judgment Skill Inventory (CJSI), inclusive of clinical judgment skill competencies that address counselor biases and evidence-based strategies.Method:An Internet-based survey design was used and an exploratory factor analysis was performed on a sample of rehabilitation counselor educators’ (n= 126) ratings of clinical judgment skill importance for effective rehabilitation counseling practice.Results:New knowledge of 7 empirically supported clinical judgment skill areas of debiasing techniques (scientific attitude, cultural bias, cognitive complexity, memory bias, confirmatory bias, negative bias, and evidence-based practice) was generated.Conclusion:The 35-item CJSI has initial empirical evidence to support its reliability and validity and to assess clinical judgment skill competencies (debiasing techniques) of master’s students in rehabilitation counseling programs. However, follow-up studies and use of confirmatory factor analysis are needed to further test and substantiate the CJSI’s content and construct validity.

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