Displaying publications 1 - 20 of 317 in total

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  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. Siti Sabariah, B., Zalilah, M.S., Norlijah, O., Normah, H., Maznah, I., Laily, P., et al.
    Malays J Nutr, 2006;12(1):33-44.
    MyJurnal
    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
  4. 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
  5. Peach P
    Med J Malaya, 1968 Dec;23(2):127-38.
    PMID: 4240823
    Matched MeSH terms: Factor Analysis, Statistical
  6. Ahmad Nawawi Mohd Amin, Wan Hasrulnizzam Wan Mahmood, Seri Rahayu Kamat, Ilyana Abdullah
    MyJurnal
    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
  7. 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
  8. Dalawi I, Isa MR, Chen XW, Azhar ZI, Aimran N
    BMC Public Health, 2023 Jun 13;23(1):1131.
    PMID: 37312175 DOI: 10.1186/s12889-023-16044-5
    OBJECTIVE: This study aimed to assess the content and face validity index of the development of the understanding, attitude, practice and health literacy questionnaire on COVID-19 (MUAPHQ C-19) in the Malay language.

    METHODS: The development of the MUAPHQ C-19 was conducted in two stages. Stage I resulted in the generation of the instrument's items (development), and stage II resulted in the performance of the instrument's items (judgement and quantification). Six-panel experts related to the study field and ten general public participated to evaluate the validity of the MUAPHQ C-19. The content validity index (CVI), content validity ratio (CVR) and face validity index (FVI) were analysed using Microsoft Excel.

    RESULTS: There were 54 items and four domains, namely the understanding, attitude, practice and health literacy towards COVID-19, identified in the MUAPHQ C-19 (Version 1.0). The scale-level CVI (S-CVI/Ave) for every domain was above 0.9, which is considered acceptable. The CVR for all items was above 0.7, except for one item in the health literacy domain. Ten items were revised to improve the item's clarity, and two items were deleted due to the low CVR value and redundancy, respectively. The I-FVI exceeded the cut-off value of 0.83 except for five items from the attitude domain and four from the practice domains. Thus, seven of these items were revised to increase the clarity of items, while another two were deleted due to low I-FVI scores. Otherwise, the S-FVI/Ave for every domain exceeded the cut-off point of 0.9, which is considered acceptable. Thus, 50-item MUAPHQ C-19 (Version 3.0) was generated following the content and face validity analysis.

    CONCLUSIONS: The questionnaire development, content validity, and face validity process are lengthy and iterative. The assessment of the instruments' items by the content experts and the respondents is essential to guarantee the instrument's validity. Our content and face validity study has finalised the MUAPHQ C-19 version that is ready for the next phase of questionnaire validation, using Exploratory and Confirmatory Factor Analysis.

    Matched MeSH terms: Factor Analysis, Statistical
  9. Alareqe NA, Roslan S, Taresh SM, Nordin MS
    Int J Environ Res Public Health, 2021 May 27;18(11).
    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
  10. 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*
  11. 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
  12. 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
  13. Swami V, Maïano C, Furnham A, Robinson C
    Eat Weight Disord, 2022 May;27(4):1349-1357.
    PMID: 34292529 DOI: 10.1007/s40519-021-01271-9
    PURPOSE: Previous studies examining the appropriateness of the 4-factor model of intuitive eating scale-2 (IES-2) scores have returned equivocal results, which may reflect methodological limitations in the way IES-2 scores are modelled. Here, we applied a bifactor-exploratory structural equation modelling (B-ESEM) framework to better understand IES-2 multidimensionality.

    METHODS: A total of 603 participants from the United States completed the IES-2, alongside measures of body appreciation, body acceptance from others, and self-esteem. Our analyses compared the fit of various hypothesised models of IES-2 scores.

    RESULTS: Models of IES-2 scores based on confirmatory factor analysis (CFA) uniformly showed poor fit. ESEM models showed superior fit to CFA representations and a B-ESEM model showed improved fit over higher-order CFA and B-CFA representations of IES-2 scores. The optimal model was a B-ESEM model that accounted for, through correlated uniqueness (CU), the methodological artefact introduced by negatively-worded IES-2 items. This B-ESEM-CU model was fully invariant across gender and showed adequate construct validity.

    CONCLUSION: The B-ESEM-CU framework appears well-suited to understand the multidimensionality of IES-2 scores. A model of IES-2 scores that yields a reliable latent indicator of global intuitive eating while allowing for simultaneous consideration of additional specific factors will likely provide more accurate accounting of the nature and outcomes of intuitive eating.

    LEVEL OF EVIDENCE: Level III, cohort study.

    Matched MeSH terms: Factor Analysis, Statistical
  14. Zhu H
    Environ Sci Pollut Res Int, 2024 Jan;31(3):3656-3668.
    PMID: 38091214 DOI: 10.1007/s11356-023-30984-w
    From the perspective of sustainable supply chain management (SSCM), this research looks at the key elements influencing how small- and medium-sized companies (SMEs) move toward a circular economy (CE). This research aims to understand the elements that influence SMEs to embrace CE principles and determine the real-world applications of SSCM practices. This research gathered and analyzed data from diverse European SMEs working inside CE networks using a mixed-method approach. We received answers from several of these firms using a survey form sent and emailed to them. The replies were then assessed using an independent t test to account for any biases. We used confirmatory factor analysis (CFA) for the validity assessment, compound consistency, and corrected-item-total association measures to validate the model's validity and reliability. According to our research, SMEs are influenced significantly by societal pressures, green economic incentives, and environmental dedication when deciding whether to adopt CE practices. Our study further emphasizes the importance of SSCM for SMEs' successful transition to a CE model, especially regarding resource and waste management efficiency. This work contributes to the corpus of research on the topic by providing empirical support for the function of SSCM in easing the transition towards CE in the setting of SMEs. The results might serve as a reference for managers and policymakers as they create plans to encourage SMEs to embrace CE practices and to emphasize the advantages of such a change on the economic, social, and environmental fronts. Putting a particular emphasis on the vital roles that public pressure, green financial incentives, and ecological dedication play, this research provides insights into the complex interactions between SSCM and CE transition in SMEs. Further study is needed to examine how these determinants could fluctuate across various industries and geographies.
    Matched MeSH terms: Factor Analysis, Statistical
  15. 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
  16. Abdul Aziz Azdel, Khairil Wahidin Awang, Raja Nerina Raja Yusof, Salleh Mohd Radzi, Mohd Noor Ismawi Ismail
    MyJurnal
    The purpose of this study is to assess the determinants of psychological traits towards users’ technology experience specifically on Online Travel Agencies (OTA) via exploratory factor analysis (EFA). Working on these issues and after sequences of analyses to verify reliability and factor structure, the final 16 items of Technology Readiness 2.0 (TR2.0) with 4 items for each dimension (Optimism, Innovativeness, Discomfort, and Insecurity) have been congregated. Through an online survey, the technology readiness determinants were administered to 100 travelers at KLIA2 who have experienced on OTA. EFA using Principal Component Analysis with Varimax Rotation indicated 14 items, with 4 factors final solution with the following subscales: Innovativeness (4 items); Optimism (4 items); Discomfort (3 items); and Insecurities (3 items). All in all, only two items were removed from the original total of 16 items by the factor analysis based on the factor loading matrix for this final solution. This study basically plays an important role in contributing to the existing literature on the OTA users’ standpoint by using an approach which is very powerful to redefine the factors within Technology Readiness. This enhancement has reorganized the items according to their importance specifically towards new perspective which are OTA users in Malaysia setting.
    Matched MeSH terms: Factor Analysis, Statistical
  17. Khan MZU, Uddin E, Akbar B, Akram N, Naqvi AA, Sajid M, et al.
    Nanomaterials (Basel), 2020 Sep 09;10(9).
    PMID: 32916991 DOI: 10.3390/nano10091796
    A new micro heat exchanger was analyzed using numerical formulation of conjugate heat transfer for single-phase fluid flow across copper microchannels. The flow across bent channels harnesses asymmetric laminar flow and dean vortices phenomena for heat transfer enhancement. The single-channel analysis was performed to select the bent channel aspect ratio by varying width and height between 35-300 μm for Reynolds number and base temperature magnitude range of 100-1000 and 320-370 K, respectively. The bent channel results demonstrate dean vortices phenomenon at the bend for Reynolds number of 500 and above. Thermal performance factor analysis shows an increase of 18% in comparison to straight channels of 200 μm width and height. Alumina nanoparticles at 1% and 3% concentration enhance the Nusselt number by an average of 10.4% and 23.7%, respectively, whereas zirconia enhances Nusselt number by 16% and 33.9% for same concentrations. On the other hand, thermal performance factor analysis shows a significant increase in pressure drop at high Reynolds number with 3% particle concentration. Using zirconia for nanofluid, Nusselt number of the bent multi-channel model is improved by an average of 18% for a 3% particle concentration as compared to bent channel with deionized water.
    Matched MeSH terms: Factor Analysis, Statistical
  18. Sajid MR, Muhammad N, Zakaria R, Bukhari SAC
    J Public Health Res, 2020 Oct 14;9(4):1893.
    PMID: 33244464 DOI: 10.4081/jphr.2020.1893
    Background: Modifiable risk factors are associated with cardiovascular mortality (CVM) which is a leading form of global mortality. However, diverse nature of urbanization and its objective measurement can modify their relationship. This study aims to investigate the moderating role of urbanization in the relationship of combined exposure (CE) of modifiable risk factors and CVM. Design and Methods: This is the first comprehensive study which considers different forms of urbanization to gauge its manifold impact. Therefore, in addition to existing original quantitative form and traditional two categories of urbanization, a new form consisted of four levels of urbanization was duly introduced. This study used data of 129 countries mainly retrieved from a WHO report, Non-Communicable Diseases Country Profile 2014. Factor scores obtained through confirmatory factor analysis were used to compute the CE. Age-income adjusted regression model for CVM was tested as a baseline with three bootstrap regression models developed for the three forms of urbanization. Results: Results revealed that the CE and CVM baseline relationship was significantly moderated through the original quantitative form of urbanization. Contrarily, the two traditional categories of urbanization could not capture the moderating impact. However, the four levels of urbanization were objectively estimated the urbanization impact and subsequently indicated that the CE was more alarming in causing the CVM in levels 2 and 3 urbanized countries, mainly from low-middle-income countries. Conclusion: This study concluded that the urbanization is a strong moderator and it could be gauged effectively through four levels whereas sufficiency of two traditional categories of urbanization is questionable.
    Matched MeSH terms: Factor Analysis, Statistical
  19. Nadeem MA, Qamar MAJ, Nazir MS, Ahmad I, Timoshin A, Shehzad K
    Front Psychol, 2020;11:553351.
    PMID: 33192804 DOI: 10.3389/fpsyg.2020.553351
    The purpose of this study is to investigate how investor's money attitudes shape their stock market participation (SMP) decisions. This study followed the theory of planned behavior (TPB), and a survey was conducted to collect the responses from active investors. Structural equation modeling (SEM) was used for the analysis of proposed relationships among the constructs, and a confirmatory factor analysis (CFA) was conducted to check the interrelation of the variables and validity of the constructs. This research has concluded that investor's money attitudes are significant to affect their stock market participation decisions. Further, it was found that risk attitudes partially mediate the relationship between money attitudes and stock market participation. Moreover, financial knowledge and financial self-efficacy positively moderated the relationship between money attitudes and stock market participation. This research is one of the early attempts at studying the money attitudes of investors and introduces financial self-efficacy as a moderating construct between money attitudes and stock market participation. The sample size for this study was 250 respondents which can be increased in future research, and the same relationships can be tested by using a larger sample. Moreover, this study has used money attitudes as predictors of stock market participation. Still, many other variables, like personal value, can also be taken to investigate their influence on stock market participation.
    Matched MeSH terms: Factor Analysis, Statistical
  20. Jaafar MH, Villiers-Tuthill A, Sim SH, Lim MA, Morgan K
    Aging Ment Health, 2020 04;24(4):620-626.
    PMID: 30596467 DOI: 10.1080/13607863.2018.1550631
    Objectives: The Brief Ageing Perceptions Questionnaire (B-APQ) has five domains that explore views about own ageing. The aim of this study was to validate the B-APQ for use among older adults in Malaysia and to explore socio-demographic variations in ageing self-perceptions.Method: Older adults aged 50 years and above were randomly selected to complete a set of questionnaires. Cronbach's α was used to measure internal consistency, while corrected item-total correlations and correlation with DASS-21 and the CASP-19 scores were employed to assess convergent and discriminant validity. Confirmatory Factor Analysis (CFA) was conducted to confirm the factorial structure of the B-APQ. Difference in self-perceptions of ageing across socio-demographic variables was assessed.Results: Internal consistency for each of the domains was good. Item-total correlations within each domain were strong (>0.6) or very strong (>0.8). Convergent and discriminant validity were supported by significant correlations with DASS-21 depression and CASP-19 scores. CFA results indicated good model fit with the original B-APQ model. Presence of chronic illness also has a significant impact on B-APQ domain scores.Conclusion: The B-APQ is a valid and reliable instrument which can be used to assess self-perceptions of ageing among older Malaysian adults.
    Matched MeSH terms: Factor Analysis, Statistical
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