A Components Analysis of a Preemployment Integrity Measure: A Replicated Study

1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1051-1055
Author(s):  
William G. Harris
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Initial Study ◽  
Factor Solution ◽  
Factor Matrix ◽  
Employee Theft ◽  
Components Analysis

A principal component analysis was performed on 70 items from a major measure of integrity given preemployment to confirm a seven-factor solution from a previous study. After an Equamax rotation of the initial factor matrix, seven components replicated those of the initial study. The components were General Theft, Pervasiveness, Opportunism, Employee Theft, Leniency, Employee Discounting, and Association. The seven components illustrate the multidimensional nature of the construct of integrity. Inspection of results suggests both general and situationally specific dimensions to integrity.

scholarly journals Measuring the Systematic Risk of Sectors within the US Market Via Principal Components Analysis: Before and during the COVID-19 Pandemic

2022 ◽  
Author(s):  
Jaime González Maiz Jiménez ◽  
Adán Reyes Santiago
Keyword(s):  
Principal Component Analysis ◽  
Stock Market ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Systematic Risk ◽  
Principal Component ◽  
Component Analysis ◽  
Market Capitalization ◽  
The Us ◽  
Components Analysis

This research measures the systematic risk of 10 sectors in the American Stock Market, discerning the COVID-19 pandemic period. The novelty of this study is the use of the Principal Component Analysis (PCA) technique to measure the systematic risk of each sector, selecting five stocks per sector with the greatest market capitalization. The results show that the sectors that have the greatest increase in exposure to systematic risk during the pandemic are restaurants, clothing, and insurance, whereas the sectors that show the greatest decrease in terms of exposure to systematic risk are automakers and tobacco. Due to the results of this study, it seems advisable for practitioners to select stocks that belong to either the automakers or tobacco sector to get protection from health crises, such as COVID-19.

Relations among Self-Talk, Self-Consciousness, and Self-Knowledge

2002 ◽  
Vol 91 (3) ◽  
pp. 807-812 ◽  
Author(s):  
Johann F. Schneider
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Self Report ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Factor Solution ◽  
Self Talk ◽  
Undergraduate University Students ◽  
Self Knowledge

The aim of this study was to examine the relations among self-talk, self-consciousness, and self-knowledge through an exploratory principal component analysis and to test the hypothesis that only the functional and reflective aspects of self-consciousness contribute to self-knowledge. A self-report questionnaire including 6 scales assessing different aspects of self-talk, self-consciousness, and self-knowledge was administered to 203 German undergraduate university students. A principal component analysis of the scales yielded a two-factor solution, supporting the distinction between functional and dysfunctional self-consciousness. In a stepwise multiple regression analysis, only functional self-consciousness was a significant predictor of self-knowledge. Limitations of the present measures of inner speech are addressed.

scholarly journals Framing of Panama Leaks: A Content Analysis of Pakistani and Western Press

2019 ◽  
Vol IV (II) ◽  
pp. 412-420
Author(s):  
Samira Saleem ◽  
Syed Abdul Siraj
Keyword(s):  
Principal Component Analysis ◽  
Content Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Political Responsibility ◽  
Factor Solution ◽  
News Stories ◽  
Economic Instability ◽  
The Media ◽  
Gathering Data

This study investigated the emergence of different factors in the framing of Panama leaks by gathering data along with five thematic frames of financial, morality, blame-game, political victimization, and accountability. Altogether 930 news stories were content analyzed to investigate how the issue of Panama leaks was framed in the media since its inception in April 2016. Furthermore, 22 framing items were selected to measure these frames and a principal component analysis resulted in generating a factor solution by clustering of these framing items into eight distinguishable factors of political-econo, governance, justificationssolutions, socio-political responsibility, implications, apathy, responsiveness, and economic instability. This study revealed differences in the use of these factors both in different newspapers and topics of coverage. The Pakistani press used the factor of governance more whereas the western press used the factor of political-econo more as compared to other factors in the framing of Panama leaks.

Preliminary Evidence for Validity of the Bahasa Indonesian Version of Study Process Questionnaire

2007 ◽  
Vol 100 (1) ◽  
pp. 333-338
Author(s):  
Arief Darmanegara Liem ◽  
Paulus Hidajat Prasetya
Keyword(s):  
Principal Component Analysis ◽  
Internal Consistency ◽  
Principal Component ◽  
Psychology Students ◽  
Component Analysis ◽  
Preliminary Evidence ◽  
Factor Solution ◽  
Study Process ◽  
Internal Consistency Alpha

This study provides preliminary evidence for the validity of the Bahasa Indonesian version of the Study Process Questionnaire (BI-SPQ) from a sample of 147 psychology students (22 men and 125 women; M age = 21.8 yr., SD=1.3). The internal consistency alpha of the BI-SPQ subscales were found to range from .46 (Surface Strategy) to .77 (Deep Strategy), with a median of .67. Principal component analysis indicated a two-factor solution, where the Deep and Achieving subscales loaded onto Factor 1 and the Surface subscales loaded on Factor 2. Students' GPAs were associated negatively with Surface Motive ( r = −.24) and were associated positively with Deep and Achieving Motives ( rs = .20). Further studies with larger samples involving students majoring in other disciplines are needed to provide further evidence of the validity of the BI-SPQ.

scholarly journals Principal component analysis for heavy metals in hydrographic sub-basins of the rivers Capivari and Mortes/MG

2021 ◽  
Vol 12 (4) ◽  
pp. 93-104
Author(s):  
Diego Vipa Amâncio ◽  
Gilberto Coelho ◽  
Rosângela Francisca de Paula Vitor Marques ◽  
Laíla Luana Campos ◽  
Renato Antônio da Silva
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Industrial Effluents ◽  
Component Analysis ◽  
Water Sources ◽  
Average Percentage ◽  
Total Variability ◽  
Components Analysis ◽  
Iron Manganese

Population growth and industrialization are correlated with the contamination of water resources by the release of untreated effluents into water sources. The objective of this work was to characterize heavy metals in sub-basins of the rivers Capivari and Mortes and the variability using principal component analysis (PCA). Three points were sampled at GD1 (P - I at Ingai – Minduri River, P - II at Capivari River and P - III at Ingai – Luminarias River) and three points at GD2 (P - IV at Mortes River, P - V at Peixe River and P - VI at Ribeirao dos Tabuoes). The monitoring period was from April 2015 to February 2016. Analysis of Aluminum, Bromine, Copper, Hexavalent Chromium, Iron, Manganese, Nickel and Zinc were evaluated. We compared the results with the Maximum Allowed Value in agreement with class 2, according to DN COPAM CERH 01/08. We also observed variables above the allowed value due to the discharge of domestic and industrial effluents, interference from precipitation and the contact between livestock and water sources. The principal components analysis (PCA) revealed that on average, the principal component 1 corresponds to 62.2% of the total variability of the data considering GD 1, and, in GD 2, PC 1 is responsible for a higher average percentage of the total variability of the data, corresponding to 73.4%, hence being more representative.

scholarly journals Rime samples characterization and comparison using classical and fuzzy principal components analysis

2008 ◽  
Vol 6 (2) ◽  
pp. 208-215 ◽  
Author(s):  
Kamila Klimaszewska ◽  
Costel Sârbu ◽  
Żaneta Polkowska ◽  
Marek Błaś ◽  
Mieczysław Sobik ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Principal Component ◽  
Direct Consequence ◽  
Component Analysis ◽  
Component Model ◽  
Total Variance ◽  
Data Set ◽  
Components Analysis ◽  
Fuzzy Principal Component Analysis

AbstractThe main objective of this paper is to introduce principal component analysis and two robust fuzzy principal component algorithms as useful tools in characterizing and comparing rime samples collected in different locations in Poland (2004–2007). The efficiency of the applied procedures was illustrated on a data set containing 108 rime samples and concentration of anions, cations, HCHO, as well as pH and conductivity. The fuzzy principal component algorithms achieved better results mainly because they are more compressible than classical PCA and very robust to outliers. For example, a three component model, fuzzy principal component analysis-first component (FPCA-1) accounts for 62.37% of the total variance and fuzzy principal component analysis-orthogonal (FPCA-o) 90.11%; PCA accounts only for 58.30%. The first two principal components explain 51.41% of the total variance in the case of FPCA-1 and 79.59% in the case of FPCA-o as compared to only 47.55% for PCA. As a direct consequence, PCA showed only a partial differentiation of rime samples onto the plane or in the space described by different combination of two or three principal components, whereas a much sharper differentiation of the samples, regarding their origin and location, is observed when FPCAs are applied.

Analyses of Components of Periodontal Disease

1973 ◽  
Vol 52 (6) ◽  
pp. 1238-1244 ◽  
Author(s):  
Robert L. Glass ◽  
Edward R. Loftus ◽  
Krishan K. Kapur ◽  
John E. Alman
Keyword(s):  
Principal Component Analysis ◽  
Bone Loss ◽  
Periodontal Disease ◽  
Principal Component ◽  
Component Analysis ◽  
Varimax Rotation ◽  
Factor Matrix ◽  
Tooth Mobility ◽  
Individual Variables ◽  
Intercorrelation Matrix

Six variables associated with periodontal disease were evaluated in 635 men. Correlations between individual variables were low to moderate.' Highest correlations were observed between bone loss and tooth mobility. Principal component analysis of the intercorrelation matrix, followed by Varimax rotation of the factor matrix, demonstrated two distinct factors, periodontitis and gingivitis.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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