Displaying publications 61 - 80 of 317 in total

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  1. Rasmussen A, Leon M, Elklit A
    Assessment, 2023 Jul;30(5):1369-1378.
    PMID: 35699448 DOI: 10.1177/10731911221101912
    Trauma researchers often make claims about the severity of posttraumatic stress disorder (PTSD) across populations, and yet cross-cultural measurement invariance (MI) is rarely assessed. Nine youth samples with Harvard Trauma Questionnaire (HTQ) responses were grouped based on sampling strategy used into two sets: representative (Denmark, the Faroe Islands, Iceland, and Lithuania, n = 1,457), and convenience (Greenland, India, Kenya, Malaysia, and Uganda, n = 2,036). Confirmatory factor analysis (CFA) was used to gauge whether configural, metric, scalar, and residual invariance of different models held between national samples within the two sets. Configural invariance held for most PTSD models in convenience samples, not in representative samples. Metric invariance was less common, and scalar and residual in general did not hold. Cultural similarity between samples seemed to be associated with invariance. Findings suggest that although PTSD symptoms may cluster similarly across culturally distal groups, comparisons of the severity of symptoms using the HTQ across adolescent samples are not likely valid.
    Matched MeSH terms: Factor Analysis, Statistical
  2. Swami V, Tran US, Stieger S, Aavik T, Ranjbar HA, Adebayo SO, et al.
    Body Image, 2023 Sep;46:449-466.
    PMID: 37582318 DOI: 10.1016/j.bodyim.2023.07.010
    The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset - with data collected between 2020 and 2022 - to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.
    Matched MeSH terms: Factor Analysis, Statistical
  3. Siraji MA, Lazar RR, van Duijnhoven J, Schlangen LJM, Haque S, Kalavally V, et al.
    Sci Rep, 2023 Dec 13;13(1):22151.
    PMID: 38092767 DOI: 10.1038/s41598-023-48241-y
    Light exposure is an essential driver of health and well-being, and individual behaviours during rest and activity modulate physiologically relevant aspects of light exposure. Further understanding the behaviours that influence individual photic exposure patterns may provide insight into the volitional contributions to the physiological effects of light and guide behavioural points of intervention. Here, we present a novel, self-reported and psychometrically validated inventory to capture light exposure-related behaviour, the Light Exposure Behaviour Assessment (LEBA). An expert panel prepared the initial 48-item pool spanning different light exposure-related behaviours. Responses, consisting of rating the frequency of engaging in the per-item behaviour on a five-point Likert-type scale, were collected in an online survey yielding responses from a geographically unconstrained sample (690 completed responses, 74 countries, 28 time zones). The exploratory factor analysis (EFA) on an initial subsample (n = 428) rendered a five-factor solution with 25 items (wearing blue light filters, spending time outdoors, using a phone and smartwatch in bed, using light before bedtime, using light in the morning and during daytime). In a confirmatory factor analysis (CFA) performed on an independent subset of participants (n = 262), we removed two additional items to attain the best fit for the five-factor solution (CFI = 0.95, TLI = 0.95, RMSEA = 0.06). The internal consistency reliability coefficient for the total instrument yielded McDonald's Omega = 0.68. Measurement model invariance analysis between native and non-native English speakers showed our model attained the highest level of invariance (residual invariance CFI = 0.95, TLI = 0.95, RMSEA = 0.05). Lastly, a short form of the LEBA (n = 18 items) was developed using Item Response Theory on the complete sample (n = 690). The psychometric properties of the LEBA indicate the usability for measuring light exposure-related behaviours. The instrument may offer a scalable solution to characterise behaviours that influence individual photic exposure patterns in remote samples. The LEBA inventory is available under the open-access CC-BY license. Instrument webpage: https://leba-instrument.org/ GitHub repository containing this manuscript: https://github.com/leba-instrument/leba-manuscript .
    Matched MeSH terms: Factor Analysis, Statistical
  4. Rahman AA, Ibrahim MI, Rahman RA, Arifin WN, Ahmad M
    Malays J Med Sci, 2020 Mar;27(2):129-150.
    PMID: 32788849 MyJurnal DOI: 10.21315/mjms2020.27.2.14
    Background: The aim of the study is to develop and validate the Malay version of the questionnaire assessing the extent of pornography exposure (PORQUE) among youth in Kelantan.

    Methods: 'Youth' was defined as a person aged between 15 and 24 years, while 'pornography' refers to any material that depicts sexual activity or erotic behaviour. The development phase consisted of a literature review, an expert panel review, face validation and a pre-test. Fifty college students from a randomly selected higher learning institutions were invited to participate in the pilot test, whereas 150 and 198 different students from the same institutions participated in exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), respectively.

    Results: EFA suggested a five-factor solution with factor loadings ranging from 0.449 to 0.891 and a Cronbach's alpha ranging from 0.904 to 0.966. The CFA of the attitude questions also proved a good fitting model with good fit indices: comparative fit index (CFI) robust = 0.907; Tucker-Lewis fit index (TLI) robust = 0.901; root mean square error of approximation (RMSEA) robust = 0.073; standardised root mean square residual (SRMR) = 0.060. The factor loadings ranged from 0.544 to 0.906, whereas the Raykov's rho ranged from 0.886 - 0.974.

    Conclusion: Based on EFA and CFA, the attitude sections of the newly developed Malay version of the PORQUE were found to be psychometrically valid.

    Matched MeSH terms: Factor Analysis, Statistical
  5. Ganasegeran K, Selvaraj K, Rashid A
    Malays J Med Sci, 2017 Aug;24(4):39-46.
    PMID: 28951688 DOI: 10.21315/mjms2017.24.4.5
    BACKGROUND: The six item Confusion, Hubbub and Order Scale (CHAOS-6) has been validated as a reliable tool to measure levels of household disorder. We aimed to investigate the goodness of fit and reliability of a new Malay version of the CHAOS-6.

    METHODS: The original English version of the CHAOS-6 underwent forward-backward translation into the Malay language. The finalised Malay version was administered to 105 myocardial infarction survivors in a Malaysian cardiac health facility. We performed confirmatory factor analyses (CFAs) using structural equation modelling. A path diagram and fit statistics were yielded to determine the Malay version's validity. Composite reliability was tested to determine the scale's reliability.

    RESULTS: All 105 myocardial infarction survivors participated in the study. The CFA yielded a six-item, one-factor model with excellent fit statistics. Composite reliability for the single factor CHAOS-6 was 0.65, confirming that the scale is reliable for Malay speakers.

    CONCLUSION: The Malay version of the CHAOS-6 was reliable and showed the best fit statistics for our study sample. We thus offer a simple, brief, validated, reliable and novel instrument to measure chaos, the Skala Kecelaruan, Keriuhan & Tertib Terubahsuai (CHAOS-6), for the Malaysian population.

    Matched MeSH terms: Factor Analysis, Statistical
  6. Swami V, Mohd Khatib NA, Toh E, Zahari HS, Todd J, Barron D
    Body Image, 2019 Mar;28:66-75.
    PMID: 30594001 DOI: 10.1016/j.bodyim.2018.12.006
    The 10-item Body Appreciation Scale-2 (BAS-2) is a widely-used measure of a facet of positive body image. Here, we examined the psychometric properties of a Bahasa Malaysia (Malay) translation of the BAS-2 in a community sample of Malaysian Malay and Chinese adults (N = 781). Participants completed the Malay BAS-2 alongside demographic items and measures of subjective happiness, life satisfaction, actual-ideal weight discrepancy (women only), drive for muscularity (men only), and internalisation of appearance ideals. Exploratory factor analyses with a Malay subsample indicated that BAS-2 scores reduced to a single dimension with all 10 items in women and men, although the factor structure was similar but not identical across sex. Confirmatory factor analysis indicated that the one-dimensional factor structure had adequate fit following modifications. BAS-2 scores were partially scalar invariant across sex (with no significant sex differences) and ethnicity (Malay participants had significantly higher body appreciation than Chinese participants), as well as had adequate internal consistency. Evidence of construct and incremental validity was also provided through associations with additional measures and the prediction of subjective happiness over-and-above other variables, respectively. The availability of the Malay BAS-2 should help advance research on the body appreciation construct in Malay-speaking populations.
    Matched MeSH terms: Factor Analysis, Statistical*
  7. Masni-Azian, Tanaka M
    Comput Methods Biomech Biomed Engin, 2017 Aug;20(10):1066-1076.
    PMID: 28532164 DOI: 10.1080/10255842.2017.1331345
    In the biomechanics field, material parameters calibration is significant for finite element (FE) model to ensure a legit estimation of biomechanical response. Determining an appropriate combination of calibration factors is challenging as each constitutive component responds differently. This study proposes a statistical factorial analysis approach using L16(4(5)) orthogonal array to evaluate material nonlinearity and applicable calibration factor of the intervertebral disc FE model in pure moment. The calibrated model exhibits improved agreement to the experimental findings for all directions. Appropriate combination of calibration parameter reduces the estimation gap to the experimental findings, ensuring agreeable biomechanical responses.
    Matched MeSH terms: Factor Analysis, Statistical*
  8. Ramayah T, Yeap JAL, Ignatius J
    Eval Rev, 2014 Apr;38(2):160-187.
    PMID: 25015259 DOI: 10.1177/0193841X14539685
    BACKGROUND: There is a belief that academics tend to hold on tightly to their knowledge and intellectual resources. However, not much effort has been put into the creation of a valid and reliable instrument to measure knowledge sharing behavior among the academics.

    OBJECTIVES: To apply and validate the Knowledge Sharing Behavior Scale (KSBS) as a measure of knowledge sharing behavior within the academic community.

    SUBJECTS: Respondents (N = 447) were academics from arts and science streams in 10 local, public universities in Malaysia.

    MEASURES: Data were collected using the 28-item KSBS that assessed four dimensions of knowledge sharing behavior namely written contributions, organizational communications, personal interactions, and communities of practice.

    RESULTS: The exploratory factor analysis showed that the items loaded on the dimension constructs that they were supposed to represent, thus proving construct validity. A within-factor analysis revealed that each set of items representing their intended dimension loaded on only one construct, therefore establishing convergent validity. All four dimensions were not perfectly correlated with each other or organizational citizenship behavior, thereby proving discriminant validity. However, all four dimensions correlated with organizational commitment, thus confirming predictive validity. Furthermore, all four factors correlated with both tacit and explicit sharing, which confirmed their concurrent validity. All measures also possessed sufficient reliability (α > .70).

    CONCLUSION: The KSBS is a valid and reliable instrument that can be used to formally assess the types of knowledge artifacts residing among academics and the degree of knowledge sharing in relation to those artifacts.

    Matched MeSH terms: Factor Analysis, Statistical
  9. Isa NK, Mat Don M
    Prep Biochem Biotechnol, 2014;44(6):572-85.
    PMID: 24499362 DOI: 10.1080/10826068.2013.844707
    The culture conditions for gibberellic acid (GA3) production by the fungus Penicillium variable (P. variable) was optimized using a statistical tool, response surface methodology (RSM). Interactions of culture conditions and optimization of the system were studied using Box-Behnken design (BBD) with three levels of three variables in a batch flask reactor. Experimentation showed that the model developed based on RSM and BBD had predicted GA3 production with R(2) = 0.987. The predicted GA3 production was optimum (31.57 mg GA3/kg substrate) when the culture conditions were at 7 days of incubation period, 21% v/w of inoculum size, and 2% v/w of olive oil concentration as a natural precursor. The results indicated that RSM and BBD methods were effective for optimizing the culture conditions of GA3 production by P. variable mycelia.
    Matched MeSH terms: Factor Analysis, Statistical
  10. Juahir H, Zain SM, Yusoff MK, Hanidza TI, Armi AS, Toriman ME, et al.
    Environ Monit Assess, 2011 Feb;173(1-4):625-41.
    PMID: 20339961 DOI: 10.1007/s10661-010-1411-x
    This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most significant water quality variables and to determine the origin of pollution sources. Twenty-three water quality parameters were initially selected and analyzed. Three spatial clusters were formed based on HACA. These clusters are designated as downstream of Langat river, middle stream of Langat river, and upstream of Langat River regions. Forward and backward stepwise DA managed to discriminate six and seven water quality variables, respectively, from the original 23 variables. PCA and FA (varimax functionality) were used to investigate the origin of each water quality variable due to land use activities based on the three clustered regions. Seven principal components (PCs) were obtained with 81% total variation for the high-pollution source (HPS) region, while six PCs with 71% and 79% total variances were obtained for the moderate-pollution source (MPS) and low-pollution source (LPS) regions, respectively. The pollution sources for the HPS and MPS are of anthropogenic sources (industrial, municipal waste, and agricultural runoff). For the LPS region, the domestic and agricultural runoffs are the main sources of pollution. From this study, we can conclude that the application of environmetric methods can reveal meaningful information on the spatial variability of a large and complex river water quality data.
    Matched MeSH terms: Factor Analysis, Statistical
  11. Mohd Fahmi Z, Lai LL, Loh PS
    Med J Malaysia, 2015 Aug;70(4):243-8.
    PMID: 26358022 MyJurnal
    BACKGROUND: Preoperative anxiety is a significant problem worldwide that may affect patients' surgical outcome. By using a simple and reliable tool such as the Amsterdam Preoperative Anxiety and Information Scale (APAIS), anaesthesiologists would be able to assess preoperative anxiety adequately and accurately.

    OBJECTIVE: The purpose of this study was to develop and validate the Malay version of APAIS (Malay-APAIS), and assess the factors associated with higher anxiety scores.

    METHODS: The authors performed forward and backward translation of APAIS into Malay and then tested on 200 patients in the anaesthetic clinic of University Malaya Medical Centre. Psychometric analysis was performed with factor analysis, internal consistency and correlation with Spielberger's State-Trait Anxiety Inventory (STAI-state).

    RESULTS: A good correlation was shown with STAI-state (r = 0.59). Anxiety and need for information both emerged with high internal consistency (Cronbach's alpha 0.93 and 0.90 respectively). Female gender, surgery with a higher risk and need for information were found to be associated with higher anxiety scores. On the other hand, previous experience with surgery had lower need for information.

    CONCLUSION: The Malay-APAIS is a valid and reliable tool for the assessment of patients' preoperative anxiety and their need for information. By understanding and measuring patient's concerns objectively, the perioperative management will improve to a much higher standard of care.
    Matched MeSH terms: Factor Analysis, Statistical
  12. Leong DP, Teo KK, Rangarajan S, Kutty VR, Lanas F, Hui C, et al.
    J Cachexia Sarcopenia Muscle, 2016 12;7(5):535-546.
    PMID: 27104109
    BACKGROUND: The measurement of handgrip strength (HGS) has prognostic value with respect to all-cause mortality, cardiovascular mortality and cardiovascular disease, and is an important part of the evaluation of frailty. Published reference ranges for HGS are mostly derived from Caucasian populations in high-income countries. There is a paucity of information on normative HGS values in non-Caucasian populations from low- or middle-income countries. The objective of this study was to develop reference HGS ranges for healthy adults from a broad range of ethnicities and socioeconomically diverse geographic regions.

    METHODS: HGS was measured using a Jamar dynamometer in 125,462 healthy adults aged 35-70 years from 21 countries in the Prospective Urban Rural Epidemiology (PURE) study.

    RESULTS: HGS values differed among individuals from different geographic regions. HGS values were highest among those from Europe/North America, lowest among those from South Asia, South East Asia and Africa, and intermediate among those from China, South America, and the Middle East. Reference ranges stratified by geographic region, age, and sex are presented. These ranges varied from a median (25th-75th percentile) 50 kg (43-56 kg) in men <40 years from Europe/North America to 18 kg (14-20 kg) in women >60 years from South East Asia. Reference ranges by ethnicity and body-mass index are also reported.

    CONCLUSIONS: Individual HGS measurements should be interpreted using region/ethnic-specific reference ranges.

    Matched MeSH terms: Factor Analysis, Statistical
  13. Rahmatpour P, Sharif Nia H, Sivarajan Froelicher E, Kaveh O, Pahlevan Sharif S, Taghipour B
    Int J Gen Med, 2020;13:515-522.
    PMID: 32884331 DOI: 10.2147/IJGM.S260579
    Background: Given the high incidence of coronavirus and the shortage of nurses in Iranian hospitals, nurses' intention to care for patients with COVID-19 is important. The aim of this study is to evaluate the reliability and validity of the Persian version of the nurses' intention to care scale (NICS) by Iranian nurses who care for patients with COVID-19 in hospitals.

    Methods: A cross-sectional study was conducted on nurses (n= 400) at public and private Mazandaran hospitals. An online questionnaire was used that consisted of two parts: demographic variables and NICS. The scale was translated into Persian first and then validated using both construct and content validity.

    Results: The findings from an exploratory factor analysis yielded six factors that explained 53.12% of the total variance of the NICS. The confirmatory factor analysis demonstrated that the model had a good fit and the inter-item correlation values of the factors indicated good internal consistency.

    Conclusion: The Persian version of NICS in Iranian nurses had six factors. The results of our study add insight for nurse administrators and educators to further develop strategies to increase nurses' intention by improving positive attitudes and reducing their negative beliefs.

    Matched MeSH terms: Factor Analysis, Statistical
  14. Mohammad JAM, Yusoff MSB
    J Taibah Univ Med Sci, 2018 Feb;13(1):58-63.
    PMID: 31435303 DOI: 10.1016/j.jtumed.2017.04.005
    Objectives: To determine the psychometric properties of the Mentor Behaviour Scale (MBS), a 15-item inventory that evaluates four supportive mentor behaviours in terms of construct validity and internal consistency.

    Method: A cross-sectional study was carried out on a sample of medical students in their final year at Universiti Sains Malaysia. Confirmatory factor analysis (CFA) was performed using AMOS 22 to assess construct validity. Reliability analysis was performed using SPSS 22 to assess internal consistency.

    Results: A total of 159 final year medical students participated. CFA showed that the original four-factor model with 15 items achieved acceptable values for the goodness of fit indices, suggesting a good model fit (X2 = 198.295, ChiSq/df = 2.418, RMSEA = 0.095, GFI = 0.867, CFI = 0.953, NFI = 0.923, TLI = 0.940). The Cronbach's alpha values of the mentoring relationship structure, engagement, and competency support domains were 0.96, 0.90 and 0.88, respectively. For autonomy support, the Cronbach's alpha value was 0.62.

    Conclusion: MBS demonstrates a satisfactory level of construct validity and a high level of internal consistency in measuring supportive mentor behaviours in a medical school setting. This result suggests that MBS can be used as a mentorship evaluation tool for feedback in the context of a Malaysian medical school.

    Matched MeSH terms: Factor Analysis, Statistical
  15. Lu FJH, Gill DL, Yang CMC, Lee PF, Chiu YH, Hsu YW, et al.
    Front Psychol, 2018;9:2363.
    PMID: 30574106 DOI: 10.3389/fpsyg.2018.02363
    Although considerable research indicates that mental energy is an important factor in many domains, including athletic performance (Cook and Davis, 2006), athletic mental energy (AME) has never been conceptualized and measured. Therefore, the aim of this study was to conceptualize and develop a reliable and valid instrument to assess AME. In Study 1, a focus group interview established the initial framework of AME. Study 2 used a survey to collect athletes' experiences of AME and develop a scale draft titled "Athletic Mental Energy Scale (AMES)." In Study 3, we examined the psychometric properties and the underlying structure of AMES via item analysis, internal consistency, and exploratory factor analysis (EFA). In Study 4, we used confirmatory factor analysis (CFA) to examine AMES's factorial validity; and examined concurrent and discriminant validity by examining correlations with athletes' life stress, positive state of mind, and burnout. In study 5, we examined the measurement invariance of the 6-factor, 18-item AMES with Taiwanese and Malaysian samples. Study 6 examined the predictive validity by comparing AMES scores of successful and unsuccessful martial artists. Across these phases, results showed a 6-factor, 18-item AMES had adequate content validity, factorial structure, nomological validity, discriminant validity, predictive validity, measurement invariance, and reliability. We suggest future studies may use AMES to examine its relationships with athletes' cognition, affect, and performance. The application of AMES in sport psychology was also discussed.
    Matched MeSH terms: Factor Analysis, Statistical
  16. Gomez R, Stavropoulos V
    Assessment, 2019 09;26(6):1142-1153.
    PMID: 28735555 DOI: 10.1177/1073191117721743
    To date, at least 12 different models have been suggested for the Strengths and Difficulties Questionnaire (SDQ). The current study used confirmatory factor analysis to examine the relative support for these models. In all, 1,407 Malaysian parents completed SDQ ratings of their children (age range = 5-13 years). Although the findings showed some degree of support for all 12 models, there was most support for an oblique six-factor model that included the five SDQ domains (emotional problems, conduct problems, hyperactivity, peer problems, and low prosocial behavior) and a positive construal factor comprising all the 10 SDQ positive worded items. The original proposed five-factor oblique model also showed good fit. The implications of the findings for understanding the results of past studies of the structural models of the parent version of the SDQ, and for clinical and research practice involving the SDQ are discussed.
    Matched MeSH terms: Factor Analysis, Statistical
  17. Dellemin NA, Zahari Z, Ahmad Hassali MA, Abdul Rashid S
    J Pharm Bioallied Sci, 2020 10 08;12(4):428-435.
    PMID: 33679089 DOI: 10.4103/jpbs.JPBS_247_19
    Introduction: National Pharmaceutical Regulatory Agency, Ministry of Health Malaysia has received 1018 adverse drug reaction reports related to paracetamol with 1972 adverse events from the year 2000 to February 2015. Serious skin reactions including Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis, and acute generalized exanthematous pustulosis may develop as a result of allergic reactions of paracetamol. This study aimed to develop and validate a questionnaire regarding Knowledge, Attitude, and Perception towards Allergic Reactions of Paracetamol (KAP-ARP) among the general population.

    Materials and Methods: Content and face validity of the KAP-ARP were determined by four experts and 20 respondents, respectively. A questionnaire with 36 items, consisting of 16 Knowledge, 9 Attitude, and 11 Perception items, was distributed to 177 respondents. Exploratory factor analysis (EFA) was performed for construct validity. Cronbach's alpha was used to determine the reliability of the questionnaire.

    Results: EFA constructed 13 Knowledge, 8 Attitude, and 8 Perception items. The final KAP-ARP questionnaire is reliable based on its internal consistency reliability (Knowledge: α = 0.78; Attitude: α = 0.63; Perception: α = 0.70).

    Conclusion: A valid and reliable questionnaire that is useful for measuring KAP-ARP among the general population has been developed.

    Matched MeSH terms: Factor Analysis, Statistical
  18. Shaiful Ehsan Shalihin, Mohd Aznan MA, Mohamad Haniki NM
    MyJurnal
    Number of active smokers in Malaysia is increasing despite availability of stop smoking clinics and smoking cessation medications. Thus, the practice of the healthcare professionals involved in providing smoking cessation intervention using evidence-based guidelines needs to be assessed using validated assessment tool. Newly invented reliable and valid questionnaire locally is needed. This study aimed to develop and validate a newly modified questionnaire to assess the knowledge, attitude and practice of medical doctors based on national smoking cessation guidelines and factors contributing to the score. The 22 items consists of true/false questions and Likert scaling response based on domain of 5A’s (ask, assess, advice, assist, arrange) and 5R’s (relevant, risks, rewards, roadblocks, repetitions) of the national stop-smoking guideline. Sample size is calculated based on five respondents to one item ratio. The questionnaires were distributed to 131 primary care doctors. Reliability was determined using Cronbach’s alpha for internal consistency while construct validity was assessed using factor analysis. A high degree of internal consistency was observed (Cronbach’s alpha = 0.87), with good knowledge subscale (0.72), attitude subscale (0.58) and practice subscale (0.92). Factor analysis showed three meaningful finalized components (knowledge, attitude and practice) which represent the smoking cessation framework. This study indicates that this revised questionnaire is more reliable and valid tool to assess the knowledge, attitude and practice on stop smoking guidelines compared to previous questionnaire.
    Matched MeSH terms: Factor Analysis, Statistical
  19. Farnaza Ariffin, Suzanna Daud, Zaliha Ismai, Ani Amelia Zainuddin, Roszaman Ramli
    MyJurnal
    Introduction: FertiQoL questionnaire was developed and validated in 2011. It has been widely used and translated
    into many languages to measure QoL among infertile individuals. The use of translated psychometric tools is often
    subjected to cross-cultural variations. The objective of this study is to assess the psychometric properties of the
    Malaysian FertiQoL. Methods: A study was conducted among attendees of a public infertility clinic. Demographic
    details were collected and respondents answered the Malaysian FertiQoL. The questionnaire consists of 34 items.
    Factor analysis and internal consistency were analysed using SPSS v24. Results: Data from 175 respondents were
    analysed. Mean age is 32.1 ±3.8 SD with 56.6% female and 43.4% male. KMO index were 0.826 and significant
    Bartlett’s test for sphericity. For Treatment domain, factor loadings for items T2 and T5 were < 0.32 but for all other
    items were acceptable between 0.32 – 0.80 with no cross loadings and Cronbach alpha for environment (0.717)
    and tolerability (0.660). For Core items, Q4, Q6 and Q14 loaded onto different domains and Q19 had poor factor
    loading. All other items were acceptable. Cronbach alpha for specific domains were emotional (0.788) mind-body
    (0.829), relational (0.639) and social (0.666). Cronbach alpha for emotional, relational, social improved to 0.857,
    0.643 and 0.732 if Q4, Q6 and Q14 were omitted respectively. Conclusion: The study identified six items that affected the psychometric validity of the questionnaire and maybe explained by language or cross-cultural reasons.
    However, the Malaysian FertiQoL can still be useful to measure QoL in those with infertility.
    Matched MeSH terms: Factor Analysis, Statistical
  20. Okwuduba EN, Nwosu KC, Okigbo EC, Samuel NN, Achugbu C
    Heliyon, 2021 Mar;7(3):e06611.
    PMID: 33869848 DOI: 10.1016/j.heliyon.2021.e06611
    Provision of equitable access to university education is the primary goal of pre-university education. Academically weak students stand to benefit more from pre-university program. However, available literature on effectiveness of the program revealed that high percentage of students still fail pre-university courses. Although the role of psycho-emotional factors on student academic performance has been highlighted, mechanism through which psycho-emotional factors impact on academic performance of pre-university science students is still not clear to offer adequate insights for proper intervention program. Therefore, we examined the pre-university students' academic performance in sciences in relation to Emotional Intelligence (EI) (Interpersonal EI and Intrapersonal EI) and Self-directed Learning (SDL). Specifically, a correlational study design was conducted to measure and gauge the level of relationships amongst Interpersonal EI, Intrapersonal EI, SDL and academic performance of pre-university students. The participants were 443 Nigerian students enrolled in pre-university science program. Students' self-report on EI and SDL were gathered and analyzed using SPSS 26 and AMOS 24. Exploratory and confirmatory factor analysis were performed to determine cross-cultural validity of the instruments in the Nigerian context. After controlling for gender and age, the hierarchical regression analysis reveals that student academic performance was positively predicted by perceived Interpersonal and Intrapersonal EI, whereas self-directed learning has an inconsistent predictive impact at different steps in the model. Overall, the predictor variables were able to explain substantial proportion of students' academic performance in pre-university program. Insightful suggestions were made.
    Matched MeSH terms: Factor Analysis, Statistical
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