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

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.

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

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.

Sign in / Sign up

Export Citation Format

Share Document