The Contributing Components Analysis on the Predictive Validity of the Structured Interview

2013 ◽  
Vol 21 (5) ◽  
pp. 940-950
Author(s):  
Changjiang XU ◽  
Chongli LIANG ◽  
Zhengguang LIU
Keyword(s):  
Predictive Validity ◽  
Structured Interview ◽  
Components Analysis

Structured interview for the assessment of work-related attitudes in psychiatric patients: preliminary findings

1974 ◽  
Vol 4 (3) ◽  
pp. 326-333 ◽  
Author(s):  
R. D. P. Griffiths ◽  
R. Hodgson ◽  
R. Hallam
Keyword(s):  
Predictive Validity ◽  
Psychiatric Patients ◽  
Temporal Stability ◽  
Structured Interview ◽  
Work Related ◽  
Parallel Form ◽  
Self Confidence

SYSNOPSISA structured interview was developed to assess the drive, realism, self-confidence, and self-rated disablement of psychiatric patients in relation to work. The clinical and research value of the interview was demonstrated by (1) studies of rater consistency, temporal stability, and parallel form reliability, and (2) by an investigation of its predictive validity.

scholarly journals Convergent and incremental predictive validity of clinician, self-report, and structured interview diagnoses for personality disorders over 5 years.

2013 ◽  
Vol 81 (4) ◽  
pp. 650-659 ◽  
Author(s):  
Douglas B. Samuel ◽  
Charles A. Sanislow ◽  
Christopher J. Hopwood ◽  
M. Tracie Shea ◽  
Andrew E. Skodol ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Predictive Validity ◽  
Structured Interview ◽  
Self Report ◽  
Incremental Predictive Validity

A Proposed Scale to Measure Beliefs about the Consequences of Employing Homosexuals

1988 ◽  
Vol 63 (2) ◽  
pp. 547-551 ◽  
Author(s):  
Fabius P. O'Brien ◽  
Michael J. Vest
Keyword(s):  
Principal Components Analysis ◽  
Predictive Validity ◽  
Principal Components ◽  
Internal Consistency Reliability ◽  
Service Organizations ◽  
Strong Correlations ◽  
Southeastern Us ◽  
Discrimination In Employment ◽  
Components Analysis ◽  
Item Scale

Preliminary development of a scale to measure beliefs about the consequences of employing homosexuals is described. From responses of 182 managers from Southeastern US manufacturing, government, and service organizations principal components analysis yielded a single 13-item scale which exhibited strong item-total correlations and internal consistency reliability; Cronbach's alpha was .95. Evidence of predictive validity was provided by relatively strong correlations between beliefs about the consequences of hiring homosexuals and two indicators of discrimination in employment.

Cluster analysis for large data sets: applications to individual aerosol particles from the mid-pacific

1992 ◽  
Vol 50 (2) ◽  
pp. 1488-1489
Author(s):  
Thomas W. Shattuck ◽  
James R. Anderson ◽  
Neil W. Tindale ◽  
Peter R. Buseck
Keyword(s):  
Cluster Analysis ◽  
Chemical Reactivity ◽  
Large Data ◽  
Large Data Sets ◽  
Particle Analysis ◽  
Data Sets ◽  
Halogen Chemistry ◽  
Complete Study ◽  
Components Analysis ◽  
Automated Scanning

Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on long range particle transport, iron deposition, sea salt ageing, and halogen chemistry.Aerosol particle data sets suffer from a number of difficulties for pattern recognition using cluster analysis. There is a great disparity in the number of observations per cluster and the range of the variables in each cluster. The variables are not normally distributed, they are subject to considerable experimental error, and many values are zero, because of finite detection limits. Many of the clusters show considerable overlap, because of natural variability, agglomeration, and chemical reactivity.

Visual Evoked-Response Correlates of Speechreading Performance in Normal-Hearing Adults

1983 ◽  
Vol 26 (1) ◽  
pp. 2-9 ◽  
Author(s):  
Vincent J. Samar ◽  
Donald G. Sims
Keyword(s):  
Multiple Correlation Coefficient ◽  
Evoked Response ◽  
Multiple Correlation ◽  
Potential Significance ◽  
Visual Evoked Response ◽  
Latency Measure ◽  
Two Measures ◽  
Components Analysis ◽  
The Relationship ◽  
Visual Evoked

The relationship between the latency of the negative peak occurring at approximately 130 msec in the visual evoked-response (VER) and speechreading scores was investigated. A significant product-moment correlation of -.58 was obtained between the two measures, which confirmed the fundamental effect but was significantly weaker than that previously reported in the literature (-.90). Principal components analysis of the visual evoked-response waveforms revealed a previously undiscovered early VER component, statistically independent of the latency measure, which in combination with two other components predicted speechreading with a multiple correlation coefficient of S4. The potential significance of this new component for the study of individual differences in speechreading ability is discussed.

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