Displaying publications 1 - 20 of 312 in total

  1. Sharif SP, Mostafiz I, Guptan V
    Nurse Res, 2019 09 21;26(2):28-31.
    PMID: 30207432 DOI: 10.7748/nr.2018.e1577
    BACKGROUND: A growing number of nursing studies have used structural equation modelling (SEM) analysis. However, there is little research assessing the use of SEM analysis in nursing research.

    AIM: To present a systematic review of nursing research that uses SEM.

    DISCUSSION: The review revealed poor reporting of information about the determination of sample size, missing data, normality and outliers. Most studies neither computed composite reliability nor assessed convergent and discriminant validity. There was a lack of consistency in performing the analysis. Some of the studies conducted exploratory factor analysis before performing confirmatory factor analysis, without discussing its necessity. Although most studies declared the estimation method and software used, there were many that did not.

    CONCLUSION: Little information about the different steps of conducting SEM analysis was provided in the studies. Weaknesses and areas of improvement for future empirical SEM studies were identified.

    IMPLICATIONS FOR PRACTICE: When conducting SEM, there are many issues that should be addressed. Overlooking these issues may invalidate findings. The results of this review provide nurse researchers with best practice guidelines for conducting SEM and pave the way for researchers to adopt this method in their studies.

    Matched MeSH terms: Factor Analysis, Statistical*
  2. Rigdon EE, Becker JM, Sarstedt M
    Multivariate Behav Res, 2019 03 04;54(3):429-443.
    PMID: 30829544 DOI: 10.1080/00273171.2018.1535420
    Researchers have long been aware of the mathematics of factor indeterminacy. Yet, while occasionally discussed, the phenomenon is mostly ignored. In metrology, the measurement discipline of the physical sciences, uncertainty - distinct from both random error (but encompassing it) and systematic error - is a crucial characteristic of any measurement. This research argues that factor indeterminacy is uncertainty. Factor indeterminacy fundamentally threatens the validity of psychometric measurement, because it blurs the linkage between a common factor and the conceptual variable that the factor represents. Acknowledging and quantifying factor indeterminacy is important for progress in reducing this component of uncertainty in measurement, and thus improving psychological measurement over time. Based on our elaborations, we offer a range of recommendations toward achieving this goal.
    Matched MeSH terms: Factor Analysis, Statistical*
  3. Peach P
    Med J Malaya, 1968 Dec;23(2):127-38.
    PMID: 4240823
    Matched MeSH terms: Factor Analysis, Statistical
  4. Ahmad Nawawi Mohd Amin, Wan Hasrulnizzam Wan Mahmood, Seri Rahayu Kamat, Ilyana Abdullah
    The purpose of this paper is to prepare a conceptual framework of hybrid lean and ergonomics for assembly manufacturing process based. The research used PDCA approach as a basis in linking the relationship between lean manufacturing and ergonomics. Comprehensive literature review identify the lean ergonomics issues, best practices, and also the way to improve the ergonomic conditions in the workplace, especially those impacting employees on the assembly process. The findings show that the job design strategies for reducing extreme injuries influence by repetitive tasks. Selections of lean tools and technique, human factors analysis and lean performance measure are the key point on the stages of the PDCA conceptual framework for lean ergonomics in working assembly process. This paper also demonstrates by continuous improvement applied between the elimination of waste and increased productivity and the impacts on the ergonomic conditions to carry out operations and consequently by improving the productivity and well-being of its employees based on implementation of PDCA conceptual frameworks.
    Matched MeSH terms: Factor Analysis, Statistical
  5. Kanadasan J, Fauzi AFA, Razak HA, Selliah P, Subramaniam V, Yusoff S
    Materials (Basel), 2015 Sep 22;8(9):6508-6530.
    PMID: 28793579 DOI: 10.3390/ma8095319
    The agricultural industry in Malaysia has grown rapidly over the years. Palm oil clinker (POC) is a byproduct obtained from the palm oil industry. Its lightweight properties allows for its utilization as an aggregate, while in powder form as a filler material in concrete. POC specimens obtained throughout each state in Malaysia were investigated to evaluate the physical, chemical, and microstructure characteristics. Variations between each state were determined and their possible contributory factors were assessed. POC were incorporated as a replacement material for aggregates and their engineering characteristics were ascertained. Almost 7% of density was reduced with the introduction of POC as aggregates. A sustainability assessment was made through greenhouse gas emission (GHG) and cost factor analyses to determine the contribution of the addition of POC to the construction industry. Addition of POC helps to lower the GHG emission by 9.6% compared to control specimens. By channeling this waste into the construction industry, an efficient waste-management system can be promoted; thus, creating a cleaner environment. This study is also expected to offer some guides and directions for upcoming research works on the incorporation of POC.
    Matched MeSH terms: Factor Analysis, Statistical
  6. Siti Sabariah, B., Zalilah, M.S., Norlijah, O., Normah, H., Maznah, I., Laily, P., et al.
    Malays J Nutr, 2006;12(1):33-44.
    The objective of this paper is to report on the reliability and validity of a knowledge, attitude and practice instrument used among young primary school children. The instrument was developed as an evaluation tool in the HELIC study and consisted of 23 knowledge, 11 attitude and 10 practice items. A total of 335 Year 2 students from 4 randomly selected primary schools in Selangor and Wilayah Persekutuan participated in the HELIC study. Students were divided into small groups and an enumerator verbally administered the instrument to each group. Reliability for each construct (knowledge, attitude and practice) was estimated as item to total score correlation and internal consistency (Cronbach's alpha). Construct validity was determined through factor analysis and Pearson correlation. Results indicated that 3 attitude and 3 practice items did not correlate significantly to the total score (p>0.05). However, the deletion of these items did not significantly alter the Cronbach's alpha coefficients. Internal consistency was good for knowledge (a=0.68) but low for attitude (a=0.37) and practice (a=0.36) constructs. Based on factor analysis, 5 factor-solutions emerged for knowledge and 4 factor solutions for attitude and practice. Sufficient variance was obtained for the factors in knowledge (51.7%), attitude (51.2% and practice (51.0%). There were also significant positive correlations among the constructs ( ~ 4 . 0 1 ) . In conclusion, the instrument was valid and reliable, especially for the knowledge construct. Further improvements, particularly on the attitude and practice constructs, are needed in order for the instrument to be an effective assessment or evaluation tool in various settings.
    Matched MeSH terms: Factor Analysis, Statistical
  7. Alareqe NA, Roslan S, Taresh SM, Nordin MS
    PMID: 34072158 DOI: 10.3390/ijerph18115770
    This study tests for the first time the validity of universality and normativity assumptions related to the attachment theory in a non-Western culture, using a novel design including psychiatric and non-psychiatric samples as part of a comprehensive exploratory and advanced confirmatory framework. Three attachment assessments were distributed to 212 psychiatric outpatients and 300 non-psychiatric samples in Yemen. The results of the fourteen approaches of exploratory factor analysis (EFA) produce a similar result and assertion that the psychiatric outpatients tend to explore attachment outcomes based on multi-methods, while the non-psychiatric samples suggest an attachment orientation based on multi-traits (self-other). The multiple group-confirmatory factor analysis (MG-CFA) demonstrates that the multi-method model fits the psychiatric samples better than the non-psychiatric samples. Equally, the MG-CFA suggests that the multi-traits model also fits the psychiatric samples better than the non-psychiatric samples. Implications of the results are discussed.
    Matched MeSH terms: Factor Analysis, Statistical
  8. Buniya MK, Othman I, Sunindijo RY, Kashwani G, Durdyev S, Ismail S, et al.
    PMID: 34444218 DOI: 10.3390/ijerph18168469
    The construction sector is recognized as one of the most dangerous industries in the world. The situation is worsening in Iraq, as a result of a lack of attention to safety in the building industry and the poor implementation of safety programs. This research aims to identify the critical safety factors (CSFs) of safety program implementation in the Iraqi construction industry. The CSFs were first identified from a review of literature before being verified by construction practitioners, using semi-structured interviews. A questionnaire, based on the verified CSFs, was distributed to construction practitioners in Iraq. Exploratory factor analysis (EFA) was used to analyze the quantitative data, and the results show that the CSFs can be categorized into four constructs: worker involvement, safety prevention and control system, safety arrangement, and management commitment. Following that, partial least square structural equation modelling (PLS-SEM) was executed to establish the connection between safety program implementation and overall project success. The result confirms that safety program implementation has a significant, positive impact on project success. This article contributes to knowledge and practice by identifying the CSFs for implementing safety programs in the Iraqi construction industry. The successful implementation of a safety program not only improves safety performance, but also helps to meet other project goals.
    Matched MeSH terms: Factor Analysis, Statistical
  9. Rigdon EE, Becker JM, Sarstedt M
    Psychometrika, 2019 09;84(3):772-780.
    PMID: 31292860 DOI: 10.1007/s11336-019-09677-2
    Parceling-using composites of observed variables as indicators for a common factor-strengthens loadings, but reduces the number of indicators. Factor indeterminacy is reduced when there are many observed variables per factor, and when loadings and factor correlations are strong. It is proven that parceling cannot reduce factor indeterminacy. In special cases where the ratio of loading to residual variance is the same for all items included in each parcel, factor indeterminacy is unaffected by parceling. Otherwise, parceling worsens factor indeterminacy. While factor indeterminacy does not affect the parameter estimates, standard errors, or fit indices associated with a factor model, it does create uncertainty, which endangers valid inference.
    Matched MeSH terms: Factor Analysis, Statistical*
  10. Mohammadpour R, Shaharuddin S, Chang CK, Zakaria NA, Ab Ghani A
    Water Sci Technol, 2014 10 18;70(7):1161-7.
    PMID: 25325539 DOI: 10.2166/wst.2014.343
    Free-surface constructed wetlands are known as a low-energy green technique to highly decrease a wide range of pollutants in wastewater and stormwater before discharge into natural water. In this study, two spatial analyses, principal factor analysis and hierarchical cluster analysis (HACA), were employed to interpret the effect of wetland on the water quality variables (WQVs) and to classify the wetland into groups with similar characteristics. Eleven WQVs were collected at the 17 sampling stations twice a month for 13 months. All sampling stations were classified by HACA into three clusters, with high, moderate, and low pollution areas. To improve the water quality, the performance of Cluster-III (micropool) is more significant than Cluster-I and Cluster-II. Implications of this study include potential savings of time and cost for long-term data monitoring purposes in the free-constructed wetland.
    Matched MeSH terms: Factor Analysis, Statistical
  11. Mohammed Iman K, Harris Shah Abd H
    Student engagement has been known to be positively associated with academic performance, but there is no published valid measure for use among Malaysian undergraduates. This study seeks to examine the factor structure of the Student Engagement Instrument (SEI) in a Malaysian sample. The scale was administered to 290 undergraduate students from the Faculty of Islamic Revealed Knowledge and Human Sciences as well as the Faculty of Economics and Management Sciences of the International Islamic University of Malaysia. Principal axis factor with Promax rotation was used in exploratory factor analysis (EFA) and revealed a sixfactor solution that was consistent with the factor structure found in the original study. A new factor labelled belongingness which was not discussed in previous studies was also discovered, which is worth exploring.
    Matched MeSH terms: Factor Analysis, Statistical
  12. Al-Dubai S, Ganasegeran K, Barua A, Rizal A, Rampal K
    Ann Med Health Sci Res, 2014 Jul;4(Suppl 2):S104-7.
    PMID: 25184074 DOI: 10.4103/2141-9248.138023
    BACKGROUND: The 10-item version of Perceived Stress Scale (PSS-10) is a widely used tool to measure stress. The Malay version of the PSS-10 has been validated among Malaysian Medical Students. However, studies have not been conducted to assess its validity in occupational settings.
    AIM: The aim of this study is to assess the psychometric properties of the Malay version of the PSS-10 in two occupational setting in Malaysia.
    SUBJECTS AND METHODS: This study was conducted among 191 medical residents and 513 railway workers. An exploratory factor analysis was performed using the principal component method with varimax rotation. Correlation analyses, Kaiser-Meyer-Olkin, Bartlett's test of Sphericity and Cronbach's alpha were obtained. Statistical analysis was carried out using statistical package for the social sciences version 16 (SPSS, Chicago, IL, USA) software.
    RESULTS: Analysis yielded two factor structure of the Malay version of PSS-10 in both occupational groups. The two factors accounted for 59.2% and 64.8% of the variance in the medical residents and the railway workers respectively. Factor loadings were greater than 0.59 in both occupational groups. Cronbach's alpha co-efficient was 0.70 for medical residents and 0.71 for railway workers.
    CONCLUSION: The Malay version of PSS-10 had adequate psychometric properties and can be used to measure stress among occupational settings in Malaysia.
    KEYWORDS: Factor structure; Malaysia; Occupational; Perceived stress scale; Psychometric properties; Validity
    Matched MeSH terms: Factor Analysis, Statistical
  13. Zainal N.Z, Nor-Aziyan Y, Subramaniam P
    Introduction: Interest in mindfulness and its enhancements have quietly exploded in recent years, bringing with it the need for validated instruments to assess mindfulness in the Malaysian population. The study aims to assess the reliability, factor structure and validity of the Malay version of The Mindful Attention Awareness Scale (MMAAS) in a group of nursing students. Methods: The MMAAS was ‘forward-backward’ translated from English to Malay. Two hundred and sixty six nursing students answered the MMAAS. At the same time, they responded to the General Health Questionnaire (GHQ) and Rosenberg Self-Esteem Scale (RSES). We performed Exploratory Factor Analysis (EFA) with varimaxrotation to examine the factor structure of the MMAAS. Associations of retained factors were estimated by Spearman correlation coefficients. Results: Internal consistency reliability of MMAAS was good (Cronbach’s α = 0.851) and showed temporal stability in a 3-week period. Exploratory Factor Analysis (EFA) suggested three factors labelled as “Attention related to generaldomain”, “Attention related to the physicaldomain” and “Attention related to psychological domain”. These factors explained 52.09% of the variance. The Malay MAAS and the English version was highly correlated (r=0.82, p
    Matched MeSH terms: Factor Analysis, Statistical
  14. Ahmad Fuad Abdul Rahim, Mohd Jamil Yaacob, Muhamad Saiful Bahri Yusoff
    ASEAN Journal of Psychiatry, 2010;11(1):13-24.
    Objective: To determine the construct validity and the internal consistency of the Medical Student Stressor Questionnaire (MSSQ) among medical students hence in the future it could be used as a valid and reliable instrument to identify stressors among medical students. Methods: The blueprint for the development of MSSQ was developed after a review of literature on the subject and a discussion with experts in the field. It comprised of 40 items
    with six hypothetical groups. The face validity of the questionnaire was established through discussion with 141 final year medical students whereas content validity was established through discussion with experts from field of Medical Education and Psychiatry. It was administered to a total of 761 medical students. Data was analysed using Statistical Package Social Sciences (SPSS) version 12. Factor analysis was applied to test construct validity of the MSSQ. Reliability analysis (Cronbach’s alpha and item total correlation) was applied to test internal consistency of the MSSQ. Results: The total Cronbach’s alpha value of the MSSQ was 0.95. All the preliminary 40 items were included in the MSSQ as the items had item total correlation value of more than 0.3. The items were loaded nicely into the six pre-determined hypothetical groups as their factor loading values were more than 0.3.
    Conclusion: This study showed that MSSQ had good psychometric value. It is a valid and reliable instrument in identifying stressors among medical students.
    Matched MeSH terms: Factor Analysis, Statistical
  15. Junaidah, M.J., Norizzah, A.R., Zaliha, O., Mohamad, S.
    The optimisation of fresh fruit bunch (FFB) sterilisation process was studied using different degree of FFB ripeness (i.e. under-ripe, ripe, overripe) and loose fruits. This study was carried out with the application of Response Surface Methodology (RSM), based on the interrelation between process temperature (X1; 100 to 120oC) and time (X2; 20 to 80 min) used for FFB sterilisation process on Free Fatty Acid, FFA (Y1,underripe FFB; Y2,ripe FFB; Y3,Overripe FFB; and Y4,loose fruits). Thirteen experimental runs were conducted per degree of ripeness using laboratory scale steriliser with varying sterilisation temperature and time, as generated by Central Composite Rotatable Design (CCRD). Raw experimental data trend showed substantial FFA increment with the increment of FFB maturity. Four polynomial models were found appropriate to predict the responses within experimental regions. Analysis regarding factor influences on each response was performed using Analysis of Variance (ANOVA) and graphical analysis. For under-ripe and ripe FFB, the temperature exerted higher and significant (p
    Matched MeSH terms: Factor Analysis, Statistical
  16. Leong, Q.L., Ab Karim, S., Selamat, J., Mohd Adzahan, N., Karim, R., Rosita, J.
    This study aimed to analyze consumers’ perceptions and acceptance toward ‘belacan’. Results
    showed internal reliability of above 0.7 for sections analyzed. Factor analysis found two underlying factors in the section designed to examine consumers’ perceptions. The overall consumers’ perception had a positive and moderate correlation with their acceptance and was significant at .01. Results also showed that ‘belacan’ consumption level was relatively frequent and well accepted by all races in Malaysia. The findings of the study would be noteworthy to the fishery industry and the small and medium industry (SME) in Malaysia in meeting consumers’ needs.
    Matched MeSH terms: Factor Analysis, Statistical
  17. Kamaluddin, M.R., Hassan, S.K., Dharmalingam, T. K.
    Introduction: Despite general acknowledgement of the importance in assessing family needs in critical care
    patients, there is no psychometric instrument to measure the family needs within Malaysian settings. This
    study aimed to perform factorial validation and establish psychometric properties of Malay translated
    Critical Care Family Need Inventory (CCFNI-M) for Malaysians. Methods: This study consisted of four
    protocols: Forward-Backward translation, validity, internal reliability and inter domain correlations phases.
    The factorial validation of the CCFNI-M was based on its administration to 109 family members of critical
    care patients admitted to the Intensive Care Unit of Hospital Universiti Sains Malaysia, Kelantan, Malaysia.
    At validity phase, factorial validation was performed using Exploratory Factor Analysis using Principal
    Component Analysis with Varimax rotation. The internal consistency and inter domain correlations were
    calculated using Cronbach’s alpha and Pearson correlation coefficient respectively. Results: Preliminary
    analyses reported the suitability of data for factorial validation. With reference to the original CCFNI, five
    factors were extracted which explained 49.4% of the total variance. After removal of several items for
    different reasons, the final items in CCFNI-M were 42. The internal consistency values for five dimensions
    ranged from 0.72 to 0.87 with inter domain correlation values (r) among the dimensions ranged between
    0.36 and 0.61. Conclusion: The high measures of factorial validity, internal consistency and inter domain
    correlations values of the CCFNI-M make it suitable measure for assessing the family needs of critical care
    Matched MeSH terms: Factor Analysis, Statistical
  18. Adam, B., Ramli, M., Jamaiyah H., Noor Azimah, M., Khairani, O.
    Introduction: Family Environment Scale (FES) was developed by Moos1, has ten subscales and was categorized into three dimensions.Objective:The objective of this study was to develop factor structure for the Malay-translated version of the FES subscales. Methodology: The study used Malay translated version of FES by Khairani et. al2. This study was a multi centre, cross-sectional study, involving four secondary schools consisted of adolescents, aged between 12-17 years old and a total of 295 participants were enrolled in this study. Exploratory factor analyses was done across two groups of analysis set on the subscales with Cronbach’s alpha more than 0.50 and 0.53 respectively. Results: Two distinct factors were extracted across the four subscales consisted of Cohesion, Conflict and Organization in factor 1 and only Control in factor 2. Conclusion: The finding indicated that element of Cohesion, Conflict and Organization has a good indicator of a good family relationship.
    Matched MeSH terms: Factor Analysis, Statistical
  19. Ramli Musa, Mohd Ariff Fadzil, Zaini Zain
    ASEAN Journal of Psychiatry, 2007;8(2):82-89.
    Background: Up to date, there are handful questionnaires that have been validated in Bahasa Malaysia (BM). This study aimed to translate the Depression Anxiety Stress Scales 21-item (DASS-21) and measure its psychometric properties. Objectives: To determine the construct validity and acceptability of the DASS, BM. Methods: Two forward and backward translations were done in BM in accordance to guideline, and its validation was determined by using confirmatory factor analysis. A total of 263 subjects were selected by systematic random sampling to represent Malaysian population for reliability and validity purposes. Results: The BM DASS-21 had very good Cronbach’s alpha values of .84, .74 and .79, respectively, for depression, anxiety and stress. In addition, it had good factor loading values for most items (.39 to .73). Correlations among scales were between .54 and .68. Conclusions: BM DASS-21 is correctly and adequately translated to Bahasa Malaysia with high psychometric properties. Further studies are required to support these findings.
    Matched MeSH terms: Factor Analysis, Statistical
  20. Muhamad Saiful Bahri Yusoff
    Objective: To determine the construct validity and the internal consistency of the Postgraduate Stressor Questionnaire (PSQ) among postgraduate medical trainees hence it could be used as a valid and reliable instrument to identify stressors among them.

    Methods: Items of the PSQ were derived from a review of literature on the subject and a discussion with experts in the field. It comprised of 28 items with seven hypothetical groups. The content and face validity was established through discussion with experts from field of Medical Education and Psychiatry. It was administered to all participants (N = 34) of postgraduate personal and professional development programme in a Malaysian university. Data was analysed using Statistical Package Social Sciences (SPSS) version 18. Factor analysis was applied to test construct validity whereas reliability analysis was applied to test internal consistency of the PSQ.

    Results: Thirty three postgraduate medical trainees participated in this study. Factor analysis found that the 28 items of the PSQ were loaded nicely into the seven pre-determined groups as their factor loading values were more than 0.3. The reliability analysis showed that the Cronbach's alpha value for The PSQ was 0.95. Whereas, The Cronbach's alpha values for academic, poor relationship with superior, bureaucratic constraints, work-family conflicts, poor relationship with colleagues, performance pressure, and poor job prospect domains were 0.63, 0.84, 0.81, 0.65, 0.73, 0.78, and 0.70 respectively.

    Conclusion: This study showed that the PSQ is a reliable and valid instrument to identify stressors of postgraduate medical trainees. It is a promising instrument that can be used in future to explore further on this area.
    Matched MeSH terms: Factor Analysis, Statistical
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