Validation of a Research Instrument for Safety Leadership and Safety Knowledge-Attitude-Behaviour (KAB) for Malaysia Manufacturing Set-Up

This article provide an empirical evidence on the validity of a questionnaire designed to assess safety leadership, as well as safety knowledge-attitude-behaviour (Safety KAB) within Malaysia’s manufacturers which fall under small and medium (S & M) entrepreneurship. The questionnaire’s items were adapted from earlier research conducted in other study contexts. First, modified fuzzy delphi method (FDM) was applied for the research to obtain expert’s consensus regarding the content validity of all items. With some modifications to suit Malaysia’s SME manufacturing setting, the 5 point Likert-scale questionnaire consisting 42 items for measuring safety leadership and safety KAB were finalised. Subsequently, it was distributed to 100 production operators from the manufacturing S& M enterrpises in the Northern Corridor Economic Region (NCER) of Malaysia for pilot testing, 95 respondents had answered. They returned the questionnaires and 89 were best to be chosen for further procedures.The determined Cronbach’s alpha values were more than 0.90 for all items representing those variables, indicating that the questionnaire possessed high reliability and internal consistency. Subsequently, exploratory factor analysis (EFA) employing principal component analysis (PCA) extraction and varimax rotation was performed to determine the construct validity. According to the PCA results, each item was retained as all the factor loadings were above the decided cut-off value, which is 0.65. Henceforth, the questionnaire is considered valid and reliabile to be used by future researchers.

Download Full-text

Assessing Teacher Manageability: A Factor Analytic Approach

Behavioral Disorders ◽

10.1177/019874298801300405 ◽

1988 ◽

Vol 13 (4) ◽

pp. 245-252 ◽

Cited By ~ 6

Author(s):

Stephen P. Safran ◽

Joan S. Safran ◽

Robert S. Barcikowski

Keyword(s):

Principal Component Analysis ◽

Statistical Analysis ◽

Problem Behaviors ◽

Principal Component ◽

Analytic Approach ◽

Future Research ◽

Maladaptive Behaviors ◽

Varimax Rotation ◽

Behaviorally Disordered ◽

Factor Analytic

An ecologically valid appraisal of students' problem behaviors must include assessment of the teacher's role as perceiver on various levels. This study analyzes the teacher manageability construct, examining educators' beliefs about their ability to manage 39 generally maladaptive behaviors within their own classroom. To address measurement limitations of previous investigations (including nonfactor analytic clustering of behaviors), a principal component analysis followed by a varimax rotation was administered on teacher manageability ratings (N = 182). This statistical analysis yielded nine component subtests (the Teacher Manageability Scale) and demonstrated that by changing the method used to group behaviors, you also modify the structure of a teacher checklist. Lack of Communication was identified as the most difficult behavior to manage. Implications for professionals working with students identified as behaviorally disordered and for future research are discussed.

Download Full-text

Developing Attitude Statements toward Illegal Immigration: Transcultural Reliability and Utility

Psychological Reports ◽

10.2466/pr0.100.3.901-914 ◽

2007 ◽

Vol 100 (3) ◽

pp. 901-914 ◽

Cited By ~ 2

Author(s):

Reidar Ommundsen ◽

Kees van der Veer ◽

Hao Van Le ◽

Krum Krumov ◽

Knud S. Larsen

Keyword(s):

Principal Component Analysis ◽

Sex Differences ◽

Item Analysis ◽

Illegal Immigration ◽

Principal Component ◽

Component Analysis ◽

Illegal Immigrants ◽

State University ◽

Varimax Rotation ◽

Two Samples

This is a report on the utility of a scale measuring attitudes toward illegal immigrants in two samples from nations that have more people moving out of the country than moving into the country. The Attitude toward Illegal Immigrants Scale was administered to 219 undergraduates from Sofia University in Bulgaria, and 179 undergraduates from Hanoi State University in Vietnam. Results yielded a scale with no sex differences, and acceptable alpha coefficients. Item analysis identified the most contributory and least contributory items, with considerable overlap in the two samples. A principal component analysis with varimax rotation was carried out to examine the structure.

Download Full-text

Überprüfung eines Familien-Assessment-Instruments auf der Grundlage der Theorie des systemischen Gleichgewichts

Pflege ◽

10.1024/1012-5302.19.1.23 ◽

2006 ◽

Vol 19 (1) ◽

pp. 23-32

Author(s):

Christina Köhlen ◽

Marie-Luise Friedemann

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Screening Instrument ◽

Assessment Instrument ◽

Assessment Instruments ◽

Varimax Rotation ◽

Cronbach Alpha

In diesem Beitrag wird die Überprüfung des Assessment-Instruments zur Einschätzung der Wirksamkeit familiärer Strategien (ASF-E) für die Anwendung in Deutschland und der deutschsprachigen Schweiz beschrieben. Das ASF-E ist ein Screening-Instrument für Familiengesundheit, wie sie in der Theorie des systemischen Gleichgewichts definiert ist (Friedemann, 1991). Zunächst wurde das Instrument in den frühen 1990er Jahren in der Schweiz unter Berücksichtigung kultureller Unterschiede ins Deutsche übersetzt. Die vorliegende Testung war die erste in Deutschland und die zweite in der Schweiz. Das Instrument hatte ursprünglich 26 Items, wobei jedes drei Aussagen beinhaltet, die Familienstrategien ausdrücken und von denen die Probanden dasjenige auswählen sollten, das am ehesten auf ihre Familiensituation zutrifft. Die Aussagen sind von 1 bis 3 gestaffelt, wobei der Wert 3 für optimale, zufrieden stellende Gesundheit steht. In Deutschland wurde das Instrument von 343 und in der Schweiz von 209 Befragten aus der Gemeinde ausgefüllt, die sowohl unterschiedlichen Alters als auch unterschiedlicher ökonomischer Herkunft waren. Eine Principal Component Analysis mit Varimax Rotation brachte vier Faktoren mit einem Eigenwert > 1 hervor. Acht Items mussten herausgenommen werden, da sie eine unzureichende Verteilung oder zu schwache Faktorladungen aufwiesen. Das endgültige Assessment-Instrument hat 18 Items mit einem akzeptablen Wert für Reliabilität (Cronbach Alpha). Das ASF-E kann in Deutschland und in der Schweiz genutzt werden, um Forschung mit Familien zu begleiten und Familiengesundheit in Verbindung mit Pflegeinterventionen einzuschätzen.

Download Full-text

Development and Validation of a Multidimensional Smoking Behaviour Questionnaire

Psychological Reports ◽

10.2466/pr0.2001.89.3.499 ◽

2001 ◽

Vol 89 (3) ◽

pp. 499-509 ◽

Cited By ~ 8

Author(s):

Jerôme Gilliard ◽

Marilou Bruchon-Schweitzer

Keyword(s):

Principal Component Analysis ◽

Negative Affect ◽

Social Integration ◽

Principal Component ◽

Smoking Behaviour ◽

Varimax Rotation ◽

Male And Female ◽

Four Dimensions ◽

Dispositional Characteristics ◽

Development And Validation

We administered a 42-item smoking behaviour questionnaire to 150 adult smokers (75 men and 75 women), 18 to 70 years old ( M = 37.1 yr., SD = 12.2). A principal component analysis of their responses followed by varimax rotation yielded four factors accounting for about 52% of the total variance: dependence, social integration, regulation of negative affect, and hedonism. Some sociodemographic and dispositional characteristics of the smokers predict these four dimensions. The predictors of each smoking dimension are quite different for male and female smokers.

Download Full-text

The H&F-Multidimensional Perfectionism Scale 13 (H&F-MSP13): Construct and convergent validity

European Psychiatry ◽

10.1016/j.eurpsy.2016.01.771 ◽

2016 ◽

Vol 33 (S1) ◽

pp. s287-s287

Author(s):

M.J. Soares ◽

A.T. Pereira ◽

A. Araújo ◽

D. Silva ◽

J. Valente ◽

...

Keyword(s):

Principal Component Analysis ◽

Psychometric Properties ◽

Internal Consistency ◽

Convergent Validity ◽

Principal Component ◽

Varimax Rotation ◽

Valid Instrument ◽

Good Internal Consistency ◽

Explained Variance ◽

Competing Interest

IntroductionThe Hewitt and Flett Multidimensional Perfectionism Scale (H&F-MPS) is one of the most used measures of perfectionism. Their 45-items evaluate self-Oriented (SOP), Self-Prescribed (SPP), and Other Oriented (OOP) perfectionism.ObjectivesTo study the internal consistency and convergent validity of the H&F-MSP13.MethodsOne hundred and ninety-two university students (78.1% females), aged 19.74 years (sd = 2.10; range: 17–28) completed the Portuguese versions of H&F-MPS (Soares et al., 2003) and of Frost et al. MPS (F-MPS) (Amaral et al., 2013). Thirteen items were selected from the Portuguese version of the H&F-MPS, based on their loading in the factor (0.60 and over) (Soares et al., 2003).ResultsThe H&FMPS13 revealed good internal consistency (α = 0.816). The corrected item-total subscale Spearman's correlations were high (from 0.418 to 0.820). The principal component analysis with factors varimax rotation produced three factors, which revealed acceptable/good internal consistency (SOP: explained variance/EV = 35.4%, α = .900; SPP: EV = 16.3%, α = 0.695; OOP: EV = 10.8%, α = 0.709). The correlations between the H&F-MSP13 scores and the matching scores of the H&F-MPS were high (from r = 0.745 to r = 0.945, all P < .01), suggesting that both scales measure similarly the constructs. The H&F-MSP13 and the H&F-MPS total scores demonstrate good convergent validity with the total score of F-MPS, as indicated by the correlations (r = 0.581/r = 0.636, respectively). The correlations similarities between the H&F-MSP13 and H&F-MSP dimensions and the F-MPS dimensions and total scores were also considerable.ConclusionsThe H&F-MSP13 is a valid instrument to measure perfectionism that reveals convergent validity with the F-MPS, retaining the adequate psychometric properties of the H&F-MPS and its administration is less time consuming.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Download Full-text

Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example

Geofluids ◽

10.1155/2021/9015065 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Lihua Huang ◽

Liudan Mao ◽

YiRong Zhu ◽

YuLing Wang

Keyword(s):

Principal Component Analysis ◽

Slope Stability ◽

Prediction Model ◽

Relative Error ◽

Rock Slope ◽

High Reliability ◽

Principal Component ◽

Component Analysis ◽

Rock Slope Stability ◽

Maximum Relative Error

Aiming at the problems of low accuracy, low efficiency, and many parameters required in the current calculation of rock slope stability, a prediction model of rock slope stability is proposed, which combines principal component analysis (PCA) and relevance vector machine (RVM). In this model, PCA is used to reduce the dimension of several influencing factors, and four independent principal component variables are selected. With the help of RVM mapping the nonlinear relationship between the safety factor of slope stability and the principal component variables, the prediction model of rock slope stability based on PCA-RVM is established. The results show that under the same sample, the maximum relative error of the PCA-RVM model is only 1.26%, the average relative error is 0.95%, and the mean square error is 0.011, which is far lower than that of the RVM model and the GEP model. By comparing the results of traditional calculation method and PCA-RVM model, it can be concluded that the PCA-RVM model has the characteristics of high prediction accuracy, small discreteness, and high reliability, which provides reference value for accurately predicting the stability of rock slope.

Download Full-text

Psychometric Properties of a New Scale Measuring Neglect and Abuse of Older Adults in the Community: Implications for Social Activity

International Quarterly of Community Health Education ◽

10.1177/0272684x20915384 ◽

2020 ◽

Vol 41 (2) ◽

pp. 163-172

Author(s):

Nestor Asiamah ◽

Kyriakos Kouveliotis ◽

Richard Eduafo ◽

Richard Borkey

Keyword(s):

Older Adults ◽

Principal Component Analysis ◽

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Psychometric Properties ◽

Social Activity ◽

Principal Component ◽

Varimax Rotation ◽

Factor Solution ◽

Confirmatory Factor

Background Neglect and abuse of older adults are still prevalent in communities of developing countries, a situation that could discourage active and healthy behaviors in community-dwelling older adults. Methods This study used the cross-sectional and correlational approaches to construct a scale measuring neglect and abuse in older adults living in the community. The study population was all (3,211) older adults who were resident in Accra and were part of the database of the Social Security and National Insurance Trust. Participants were 515 individuals who met some inclusion criteria. Three steps were followed to determine an initial set of 11 items, and principal component analysis with varimax rotation and confirmatory factor analysis were used to select relevant items and assess the psychometric properties of the final scale. Results Principal component analysis with varimax rotation yielded a two-factor solution on all 11 items. The first factor extracted was “discrimination and exploitation,” which accounted for a variance of 53.9% out of total variance of 70.8%. The scale had a good internal consistency (Cronbach’s α = .90, factor loading ≥0.50). Confirmatory factor analysis confirmed the two-factor solution and produced satisfactory convergent and discriminant validity. Conclusion It is concluded that 11 items that make up 2 factors are potential indicators of neglect and abuse of older adults at the community level. Finally, neglect and abuse of older people in the community can contribute to an increase or decrease in social activity.

Download Full-text

Raman spectroscopy coupled with principal component analysis to quantitatively analyze four crystallographic phases of explosive CL-20

RSC Advances ◽

10.1039/c8ra02189a ◽

2018 ◽

Vol 8 (41) ◽

pp. 23348-23352 ◽

Cited By ~ 5

Author(s):

Xuan He ◽

Yu Liu ◽

Shiliang Huang ◽

Yi Liu ◽

Xuemei Pu ◽

...

Keyword(s):

Principal Component Analysis ◽

Raman Spectroscopy ◽

Quantitative Determination ◽

Principal Component ◽

Component Analysis ◽

New Method ◽

Raman Shift ◽

Set Up

Principal component analysis (PCA) of the data was performed to calculate the characteristic Raman shift region of CL-20, and a new method for the quantitative determination of polymorphic impurities in ε-CL-20 was set up.

Download Full-text

Freshness Evaluation of Three Kinds of Meats Based on the Electronic Nose

Sensors ◽

10.3390/s19030605 ◽

2019 ◽

Vol 19 (3) ◽

pp. 605 ◽

Cited By ~ 13

Author(s):

Jun Chen ◽

Juanhong Gu ◽

Rong Zhang ◽

Yuezhong Mao ◽

Shiyi Tian

Keyword(s):

Principal Component Analysis ◽

Factor Analysis ◽

Sensory Evaluation ◽

Electronic Nose ◽

Storage Time ◽

Principal Component ◽

Component Analysis ◽

Set Up ◽

Storage Times

The aim of this study was to use an electronic nose set up in our lab to detect and predict the freshness of pork, beef and mutton. Three kinds of freshness, including fresh, sub-fresh and putrid, was established by human sensory evaluation and was used as a reference for the electronic nose’s discriminant factor analysis. The principal component analysis results showed the electronic nose could distinguish well pork, beef and mutton samples with different storage times. In the PCA figures, three kinds of meats samples all presented an approximate parabola trend during 7 days’ storage time. The discriminant factor analysis showed electronic nose could distinguish and judge well the freshness of samples (accuracy was 89.5%, 84.2% and 94.7% for pork, beef and mutton, respectively). Therefore, the electronic nose is promising for meat fresh detection application.

Download Full-text

Factor Structure of the 28-Item General Health Questionnaire in a Sample of Antenatal Women

The International Journal of Psychiatry in Medicine ◽

10.2190/3xav-m1bc-da2b-dcmf ◽

1996 ◽

Vol 26 (3) ◽

pp. 263-269 ◽

Cited By ~ 13

Author(s):

Yekeen A. Aderibigbe ◽

William Riley ◽

Terry Lewin ◽

Oye Gureje

Keyword(s):

Principal Component Analysis ◽

Factor Structure ◽

General Health ◽

General Health Questionnaire ◽

Severe Depression ◽

Principal Component ◽

Health Questionnaire ◽

Varimax Rotation ◽

Anxiety Depression ◽

Anxiety Subscale

Objective: The factor structure of responses to the twenty-eight-item General Health Questionnaire (GHQ-28) in a sample of 277 Nigerian antenatal women was examined. Method: Principal Component Analysis (PCA) and Varimax rotation were used. Results: A four factor structure interpretable as social dysfunction, somatic-anxiety, depression-anxiety, and severe depression was obtained. Conclusion: Although the factor structure in this sample is similar to that previously reported with this instrument, the factor loadings, particularly for the anxiety subscale differed. Thus, the factor structures of the GHQ may differ depending on the cultural background of the sample.

Download Full-text