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Fulltext Healthy lifestyle among school of quantitative sciences lecturers, Universiti Utara Malaysia (UUM)

Maryam Rukayyah Al-Munirah Binti Ayob, Mohamad Shukri Bin Abdul Hamid, Faezzah Binti Mohd Daud, Ong Yi Sean

Malaysian Journal of Social Sciences and Humanities, 2019;4(8):39-44.
MyJurnal

The role of individual healthy behaviors like physical activity, nutrition and stress management on reduction of rate of disease mortality and morbidity is well known. The aim of this study is to determine healthy lifestyle in lecturers employed in School of Quantitative Sciences, University Utara Malaysia, in 2019. Materials and Methods: The participants of this cross-sectional study were 66 lecturers in School of Quantitative Sciences, selected via random sampling method. The data collection was performed using a questionnaire including demographic healthy lifestyle questions. Analysis of the data was performed through Software Statistical Analysis System Enterprise Guide (SAS EG) version 7.1. Results: The mean age of the subjects was 42.68 ± 1.37 years and, BMI mean was 24.13 ± 0.86. 92.42% of them were married and 7.58% also were single. Conclusion: According to the results, planning for lecturers in School of Quantitative Sciences for receiving information about healthy lifestyle on weight control and nutrition are important.

Matched MeSH terms: Biometry
Refractive and biometric status of children born premature without retinopathy of prematurity

Kaur S, Norlaila Mat Daud, Chung KM, Azrin E. Ariffin, Boo N, Ong LC

Sains Malaysiana, 2010;39.

A cross-sectional study was undertaken to determine the refractive and biometric status of premature children without Retinopathy of Prematurity (ROP) and full term children. Fifty eight children between the ages of 3 and 7 years (32 children born premature without ROP and another 26 children born full term and normal) were examined. Refractive error, corneal curvature, axial length, anterior chamber depth and crystalline lens thickness were determined. The results revealed that children between the age of 3 and 7 years were emmetropic, irrespective of whether they were born premature without ROP or full term. However, children born premature without ROP had significantly steeper corneas (t = 3.14, p = 0.0349), shorter axial lengths (t = 3.18, p = 0.0313) and thicker crystalline lens (t = 3.31, p = 0.0256) compared to children born full term within the same age group. This study suggests that compensation in ocular parameters can occur to maintain emmetropia, mainly by adjustment of axial length and corneal curvature.

Matched MeSH terms: Biometry
Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review

Aburas MM, Ahamad MSS, Omar NQ

Environ Monit Assess, 2019 Mar 05;191(4):205.
PMID: 30834982 DOI: 10.1007/s10661-019-7330-6

Spatio-temporal land-use change modeling, simulation, and prediction have become one of the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy, the ability for improvement, and the capability for integration of available models. Therefore, many types of models such as dynamic, statistical, and machine learning (ML) models have been used in the geographic information system (GIS) environment to fulfill the high-performance requirements of land-use modeling. This paper provides a literature review on models for modeling, simulating, and predicting land-use change to determine the best approach that can realistically simulate land-use changes. Therefore, the general characteristics of conventional and ML models for land-use change are described, and the different techniques used in the design of these models are classified. The strengths and weaknesses of the various dynamic, statistical, and ML models are determined according to the analysis and discussion of the characteristics of these models. The results of the review confirm that ML models are the most powerful models for simulating land-use change because they can include all driving forces of land-use change in the simulation process and simulate linear and non-linear phenomena, which dynamic models and statistical models are unable to do. However, ML models also have limitations. For instance, some ML models are complex, the simulation rules cannot be changed, and it is difficult to understand how ML models work in a system. However, this can be solved via the use of programming languages such as Python, which in turn improve the simulation capabilities of the ML models.

Matched MeSH terms: Biometry
The Cambridge Anti-myopia Study: variables associated with myopia progression

Price H, Allen PM, Radhakrishnan H, Calver R, Rae S, Theagarayan B, et al.

Optom Vis Sci, 2013 Nov;90(11):1274-83.
PMID: 24100478 DOI: 10.1097/OPX.0000000000000067

To identify variables associated with myopia progression and to identify any interaction between accommodative function, myopia progression, age, and treatment effect in the Cambridge Anti-Myopia Study.

Matched MeSH terms: Biometry
Fulltext Removal of reactive red 4 dye using chitosan-epichlorohydrin/ TiO2 nanocomposite: application of response surface methodology

Ibrahim Awad Mohammed, Abdallah Reghioua, Emad Yousif, Ali H. Jawad, Nurul Najwa Abd Malek

Science Letters, 2020;14(1):96-108.
MyJurnal

Chitosan-epichlorohydrin/TiO2 composite was synthesized to be employed as an adsorbent for the
removal of reactive red 4 (RR4) dye from aqueous solution. Response surface methodology (RSM) with 3-level Box-Behnken design (BBD) was utilized for the optimization of the removal of RR4. The process key variables which include adsorbent dose (A: 0.5 – 1.5 g), pH (B: 4 – 10) and time (30 – 80 min) were selected for the optimization process. The experimental data for RR4 removal were statistically analysed using analysis of variance (ANOVA). The significant interaction between key parameters on RR4 removal efficiency was observed by interaction between AB and AC. The highest RR4 removal (95.08%) was obtained under the following conditions; adsorbent dose (1.0 g), pH 4 and time of 80 min.

Matched MeSH terms: Biometry
Multiple linear regression model of rice production using conjugate gradient methods

Nur Idalisa, Mohd. Rivaie, Nurul Hafawati Fadhilah, Nur Atikah, Anis Shahida, Nur Hidayah Mohd. Noh

MATEMATIKA, 2019;35(2):229-235.
MyJurnal

Regression is one of the basic relationship models in statistics. This paper focuses on the formation of regression models for the rice production in Malaysia by analysing the effects of paddy population, planted area, human population and domestic consumption. In this study, the data were collected from the year 1980 until 2014 from the website of the Department of Statistics Malaysia and Index Mundi. It is well known that the regression model can be solved using the least square method. Since least square problem is an unconstrained optimisation, the Conjugate Gradient (CG) was chosen to generate a solution for regression model and hence to obtain the coefficient value of independent variables. Results show that the CG methods could produce a good regression equation with acceptable Root Mean-Square Error (RMSE) value.

Matched MeSH terms: Biometry
Fulltext Descriptive analysis of type 2 diabetes mellitus patients using data from hospital information system

Nurul Salwana Abu Bakar, Jabrullah Abdul Hamid, Sharifah Zawani Syed Ahmad Yunus, Nurul Syarbani Eliana Musa, Roslinda Abu Sapian, Nur Hidayati Abdul Halim, et al.

Malaysian Journal of Medicine and Health Sciences, 2020;16(1):94-98.
MyJurnal

Introduction: Electronic medical records from hospital information system (HIS) offer a major potential for secondary data analysis which can improve the efficiency of healthcare delivery. This study describes an initiative to use HIS data to explore the level of diabetic care in patients with T2DM in a hospital-based outpatient clinic, the advantages and challenges in utilising HIS data. Methods: Patients age of 18 and above who received any diabetes medication in 2013 were retrospectively identified from HIS of Serdang Hospital. Demographic characteristics, anti-diabetic agent (ADA) dispensed, and glycaemic measures were quantified. Data was extracted using structured query lan- guage (SQL) and descriptive statistical analyses were conducted using Stata Version 12. Results: Prevalence of T2DM patients in the hospital was 7.5%. Male had slightly higher prevalence and patient at age of 61-70 years old. About 62% of patients were prescribed with metformin and 5% of newer combination of oral hypoglycemic agent. In pre- scribing pattern, stratification by age group, showed that patient age 41 to 70 years received mostly monotherapy, whilst 61.1% continue their regime for the year. Only 18% obtained good glycaemic control. Conclusion: Hospital Information system is a critical instrument in providing data as a platform in diabetic care in an outpatient care. Moving forward, steps to improve HIS should be taken to seize its potential as a tool to increase the efficiency of healthcare delivery.

Matched MeSH terms: Biometry
Fulltext Effect of micro-osteoperforations on external apical root resorption: A randomized controlled trial

Shahrin AA, Ghani SHA, Norman NH

Korean J Orthod, 2021 Mar 25;51(2):86-94.
PMID: 33678624 DOI: 10.4041/kjod.2021.51.2.86

Objective: This study aimed to investigate the effect of micro-osteoperforations (MOPs) on external apical root resorption (EARR) during the initial orthodontic alignment phase of maxillary anterior crowding.
Methods: Thirty patients (25 females, 5 males; mean age, 22.66 ± 3.27 years) who presented with moderate crowding of the upper labial segment and underwent extraction-based fixed appliance treatment were recruited. They were randomly allocated to receive adjunctive therapy with MOPs (n = 15) or treatment with fixed appliances only (control group; n = 15). EARR was measured from long-cone periapical radiographs taken at the start and the sixth month of treatment. A correction factor for the enlargement difference was used to calculate EARR. Data were analyzed with descriptive statistics and repeated-measures analysis of variance.
Results: The mean root lengths of 168 teeth were measured and showed no statistically significant difference (p > 0.05) after six months of fixed appliance treatment in the MOP (mean difference [MD] = 0.13 mm; 95% confidence interval [CI] = -0.10-0.35) and control group (MD = 0.14 mm; 95% CI = -0.10-0.37). Most of the roots in the MOP and control groups (42.86% and 52.38%, respectively) showed only mild resorption. Less than 8% of the roots in both groups (7.14% in the MOP group and 4.76% in the control group) showed moderate resorption.
Conclusions: Acceleration of orthodontic tooth movement with adjunctive MOPs therapy during the alignment phase does not exacerbate EARR in patients with moderate crowding of the upper labial segment in comparison with controls.

Matched MeSH terms: Biometry
Fulltext Effect of epidural analgesia on labour: a retrospective comparison study

Norziah Aman, Fatimah Sham, Rashidah Bahari, Aminuddin Ahmad, Normala Salim

Malaysian Journal of Medicine and Health Sciences, 2020;16(105):73-0.
MyJurnal

Introduction: Epidural analgesia is the most effective method for intra-partum pain relief and most widely applied during childbirth. Various adverse effects of epidural analgesia have been described such as lower rate of sponta- neous vaginal delivery, a higher rate of instrumental vaginal delivery and prolongation of labour, however it remains controversial. The aim of this study to determine the effect of epidural on maternal outcome. The objective of this study was to assess the effect of epidural analgesia on the mothers with epidural and non epidural parturient at Hospital Putrajaya. Methods: Retrospective cohort study was used to collect data through Total Hospital Informa- tion System (THIS) on all delivery cases in Hospital Putrajaya from 1st January to 31st December 2016. A total of 906 mothers was retrospectively investigated in a cohort of 8000 delivery; and was divided into two groups of 453 mothers with epidural analgesia and non-epidural analgesia. Data were analysed using inferential statistics. Results: The mean age in this study was 30.1±4.1 years old with body mass index (BMI) was 28.5±4.5. Univariate analysis demonstrated that epidural group have lower rate of instrumental delivery (34.4%) and caesarean section (30.5%). However, they required more oxytocin used for augmentation (66.4%). The mean duration of first stage of labour was prolong in epidural group (6.0±2.5 hours) compared with non-epidural group (4.3±1.7 hours) while the duration of second stage of labour was also prolong in epidural group (15±19 min) as compared with non-epidural (7±11 min). Conclusion: Epidural analgesia had better maternal outcomes in term of mode of delivery but had adverse effects on duration of labour and oxytocin used.

Matched MeSH terms: Biometry
Fulltext Comparison of dento-alveolar and skeletal changes between immediate and delayed placement of fixed appliances after twin block therapy

Aisha Maqsad Hussain, Gururajaprasad Kaggal Lakshmana Rao, Mohd Fadhli Khamis, Norehan Mokhtar

Malaysian Journal of Medicine and Health Sciences, 2020;16(3):231-237.
MyJurnal

Introduction: A parallel design randomized clinical trial was conducted to compare dentoalveolar and skeletal changes in two groups of patients who had completed twin block therapy; one group had a three-month night-time retention period whereas the other group had no retention period, after twin block therapy but before fixed applianc- es. Methods: 26 participants of Malay ethnicity aged 10 to 15 years were included in the trial and had an overjet of 5mm or greater, molar relationship greater than half cusp Class II on a skeletal Class II base which had been corrected to a Class I molar relationship following twin block therapy. Following randomization, the 26 were divided into two groups of 13. Group A had fixed appliances bonded immediately whereas group B continued wearing twin block at night for three months, after which fixed appliances were bonded. Lateral cephalograms assessed were those taken before randomization, upon twin block therapy completion (T1) and six months after bond-up of fixed appliances (T2). Results: Paired t-test showed several statistically significant dentoalveolar and skeletal changes in group A. In contrast, only condylar head position exhibited a statistically significant change in group B. Despite a statistical sig- nificance, changes measured in both groups were minimal at less than 2mm and therefore clinically insignificant. Independent t-test showed no statistically significant difference between the changes recorded in both groups. Con- clusion: The results suggest that a three-month night-time retention period after twin block therapy does not lead to any changes that may be considered clinically beneficial.

Matched MeSH terms: Biometry
Fulltext Learning styles among year 1 semester 1nursing students in college of nursing Kubang Kerian, Kelantan

Rusnani Ab Latif, Fairani Yusof, Tan, Yok Mui, Nor Suraizai Ibrahim

The Malaysian Journal of Nursing, 2019;10(4):3-11.
MyJurnal

Introduction: Students learn in many ways. Some students are visual learners, while others are auditory or kinesthetic learners. The purpose of the study is to identify the learning style of the students and factors that influence their learning styles. Methods: This is a descriptive study with cross-sectional design. Convenient sampling was used. In this study, a total of 51 nursing students were involved. A set of questionnaires using VARK (Visual; Auditory; Read/Write; Kinesthetic) inventory was used. Descriptive statistics and Chi-square test were use. Results: The learning styles of the respondents were mostly kinesthetic learning style and auditory learning styles which is 14(27.5%) for both, ten respondent had combinations of various styles, seven respondents had read write learning style and six respondent had visual learning style which is 13.7% and 11.8% respectively. Chi-square test shows that there was significant difference between learning style and respondents' demographic factors of previous school and number of siblings, where p-value 0.05). Conclusion: In order to achieve the goal of student learning it is important to use a combination of teaching methods and to make the classroom environment as stimulating and interactive as possible

Matched MeSH terms: Biometry
Fulltext Tahap keyakinan diri bekas penagih dadah dalam pengawasan di malaysia: ke arah kepulihan menyeluruh (self-esteem among former drug addicts under observation in Malaysia: towards a comprehensive recovery)

Salina N, Fauziah I, Ezarina Z, Mohd Norahim Mohamed S, Nor Jana S

Jurnal Psikologi Malaysia, 2017;31:29-39.

Recovering drug addict is affected by two main factors, namely internal factors (such as resilience and self-confidence) and external (support from families, employers, friends, and community). One of the internal factors that appear to influence the level of recovery of former drug addict is selfconfidence. Therefore this study aims to measure the level of self-confidence among former drug addicts, also known as Orang Kena Pengawasan (OKP) who underwent rehabilitation in 6-11 months and 12-24 months. The study was conducted using cross-sectional surveys. A total of 386 former drug addicts in Peninsular Malaysia were involved in this study with 198 respondents undergoing 6-11 months rehabilitation programme and 197 were respondents who were released within 12-24 months. The data obtained were analyzed using descriptive statistics. This analysis was used to measure the level of self-confidence between respondents who underwent the 6-11 months rehabilitation programme (Group 1) and 12-24 months (Group 2). The study found that the majority of both groups showed no signiticant difference in the level of recovery from the aspect of self-confidence. The study also found the majority of respondents of both groups showed a moderate level of confidence of 58.5 percent. However, Group 1 showed a higher percentage of self-confidence (63.5%) compared to Group 2 of (53.8%). The findings have implications for the development of strategies towards a strong self-confidence among the inmates to reduce recidivism rates in Malaysia.

Matched MeSH terms: Biometry
Random multispace quantization as an analytic mechanism for BioHashing of biometric and random identity inputs

Teoh AB, Goh A, Ngo DC

IEEE Trans Pattern Anal Mach Intell, 2006 Dec;28(12):1892-901.
PMID: 17108365

Biometric analysis for identity verification is becoming a widespread reality. Such implementations necessitate large-scale capture and storage of biometric data, which raises serious issues in terms of data privacy and (if such data is compromised) identity theft. These problems stem from the essential permanence of biometric data, which (unlike secret passwords or physical tokens) cannot be refreshed or reissued if compromised. Our previously presented biometric-hash framework prescribes the integration of external (password or token-derived) randomness with user-specific biometrics, resulting in bitstring outputs with security characteristics (i.e., noninvertibility) comparable to cryptographic ciphers or hashes. The resultant BioHashes are hence cancellable, i.e., straightforwardly revoked and reissued (via refreshed password or reissued token) if compromised. BioHashing furthermore enhances recognition effectiveness, which is explained in this paper as arising from the Random Multispace Quantization (RMQ) of biometric and external random inputs.

Matched MeSH terms: Biometry/methods*
Otolith shape analyses and dimensions of the anchovy engraulis encrasicolus l. In the black and marmara seas

Melek Zeng?n, Semra Sayg?n, Nazm? Polat

Sains Malaysiana, 2015;44:657-662.

Otoliths, which can be used for the evaluation of relationships between the environment and organisms, are structures
consisting of calcium carbonate. The aim of this study was to realize the shape analysis. In addition, it is to detect the
characteristics of otolith biometrics in order to determine the relationship between the fish size of Engraulis encrasicolus
L. from the Black and Marmara Seas. The samples were obtained from the Black and Marmara Seas between December
2013 and February 2014. The relationships between the TL (Total length) and OL (Otolith length), TL and OB (Otolith
breadth), and TL and OW (Otolith weight) were determined using the linear regression equation. Form factor, roundness,
circularity and rectangularity were used for shape analyses. According to the data, there was no difference between
localities (p>0.05). Moreover, there was no difference between the left and right otoliths of the individuals sampled from
the same locality (p>0.05). According to the regression coefficient for relationships of TL-OL, TL-OB and TL-OW, otolith
length was identified as the best index for estimating fish length (r
2
>0.70). It showed that index values were statistically
different between two populations (p<0.001).

Matched MeSH terms: Biometry
Fulltext A new Multi Sine-Cosine algorithm for unconstrained optimization problems

Rehman MZ, Khan A, Ghazali R, Aamir M, Nawi NM

PLoS One, 2021;16(8):e0255269.
PMID: 34358237 DOI: 10.1371/journal.pone.0255269

The Sine-Cosine algorithm (SCA) is a population-based metaheuristic algorithm utilizing sine and cosine functions to perform search. To enable the search process, SCA incorporates several search parameters. But sometimes, these parameters make the search in SCA vulnerable to local minima/maxima. To overcome this problem, a new Multi Sine-Cosine algorithm (MSCA) is proposed in this paper. MSCA utilizes multiple swarm clusters to diversify & intensify the search in-order to avoid the local minima/maxima problem. Secondly, during update MSCA also checks for better search clusters that offer convergence to global minima effectively. To assess its performance, we tested the MSCA on unimodal, multimodal and composite benchmark functions taken from the literature. Experimental results reveal that the MSCA is statistically superior with regards to convergence as compared to recent state-of-the-art metaheuristic algorithms, including the original SCA.

Matched MeSH terms: Biometry*
Fulltext Validity and reliability of an adapted questionnaire measuring knowledge, awareness and practice regarding familial hypercholesterolaemia among primary care physicians in Malaysia

Azraii AB, Ramli AS, Ismail Z, Abdul-Razak S, Badlishah-Sham SF, Mohd-Kasim NA, et al.

BMC Cardiovasc Disord, 2021 01 19;21(1):39.
PMID: 33468051 DOI: 10.1186/s12872-020-01845-y

BACKGROUND: Primary care physicians (PCP) play an important role in detecting Familial Hypercholesterolaemia (FH) early. However, knowledge, awareness and practice (KAP) regarding FH among Malaysian PCP are not well established, and there was no validated tool to assess their FH KAP. Thus, the aim of this study was to adapt an FH KAP questionnaire and determine its validity and reliability among Malaysian PCP.
METHODS: This cross-sectional validation study involved Malaysian PCP with ≥ 1-year work experience in the primary care settings. In Phase 1, the original 19-item FH KAP questionnaire underwent content validation and adaptation by 7 experts. The questionnaire was then converted into an online survey instrument and was face validated by 10 PCP. In Phase 2, the adapted questionnaire was disseminated through e-mail to 1500 PCP. Data were collected on their KAP, demography, qualification and work experience. The construct validity was tested using known-groups validation method. The hypothesis was PCP holding postgraduate qualification (PCP-PG-Qual) would have better FH KAP compared with PCP without postgraduate qualification (PCP-noPG-Qual). Internal consistency reliability was calculated using Kuder Richardson formula-20 (KR-20) and test-retest reliability was tested on 26 PCP using kappa statistics.
RESULTS: During content validation and adaptation, 10 items remained unchanged, 8 items were modified, 1 item was moved to demography and 7 items were added. The adapted questionnaire consisted of 25 items (11 knowledge, 5 awareness and 9 practice items). A total of 130 out of 1500 PCP (response rate: 8.7%) completed the questionnaire. The mean percentage knowledge score was found to be significantly higher in PCP-PG-Qual compared with PCP-noPG-Qual (53.5, SD ± 13.9 vs. 35.9, SD ± 11.79), t(128) = 6.90, p

Matched MeSH terms: Biometry
Fulltext Staff reflection on the effectiveness of whatsapp usage for organizational communication: a study in a private Malaysian medical school

Sohayla M. Attalla, Jalal Ebrahim, Hassan Ads, Najibah Abdul Razak, Nabishah Mohamad

Malaysian Journal of Medicine and Health Sciences, 2020;16(107):57-62.
MyJurnal

Introduction: Recently mobile communication technology had tremendous advances and became the priority for most of the users with some opponent opinions that highlight the accountability and the privacy issues in using these messaging applications. WhatsApp is scored to be the first top used messaging application worldwide that is used in 180 countries by about 1.5 billion population. This research aims to determine the staff reflections regarding the WhatsApp usage for organizational communication. Methods: This study is implied among the staff at the medical and health life science cluster, Management and Science University (MSU), Malaysia. A questionnaire was distributed to all the staff through an online google form. Responses were analysed by the ‘Statistical Package for Social Sciences’ (SPSS) Version 24.0. Results: Results showed that all the staff responded (100%) are using WhatsApp for organizational communication with variable degrees of satisfaction; 8.1% are extremely satisfied, 61.3 % are satisfied, 12.9% are not satisfied and 16.1 % are extremely not satisfied. Their level of satisfaction is significantly affected by the respondent’s age, benefit of usage, and the time of messaging. Conclusion: To ensure effectiveness of communication through WhatsApp, it should be through official groups and the organization should put specific announced rules for the time of usage and the content of messages to be posted to all members.

Matched MeSH terms: Biometry
Fulltext THE RELATIONSHIP BETWEEN GOVERNMENT EXPENDITURE ON SELECTED SECTORS TOWARDS ECONOMIC GROWTH IN MALAYSIA

NURUL FARHANA SENAWI, NOR FATIMAH CHE SULAIMAN, NOR FATIMAH CHE SULAIMAN

UMT Journal of Undergraduate Research, 2020;2(3):83-92.
MyJurnal

Government expenditure plays an important role in the country’s economic growth. Budget allocations through the annual budget presented have their strategies to ensure that the allocated budget can improve the growth and development in Malaysia and also can be enjoyed by all Malaysian. The government’s expenditure has contributed to the expansion of this country’s development from various sectors. However, there are various problems involving government expenditure such as low level of health, homeless poor people, weak public transportation and illegal immigrants. The purpose of this study is to examine the relationship between government expenditure on health, education, housing, transportation and defence sectors towards economic growth. The data used is secondary data from 1980-2017 for 38 years from the Department of Statistics, Malaysia and World Bank Data. The method used in this study is Descriptive Analysis and Autoregressive Distributed Lagged Model (ARDL). The result showed that economic growth and government expenditure on health, education, transportation, and defence has a long-run relationship. Therefore, the government should increase more expenditure on crucial sectors such as education, transportation, defence and health that will strengthen economic growth in the long run.

Matched MeSH terms: Biometry
Fulltext A new strategy of handling general insurance modelling using applied linear method

Wan Muhamad Amir W. Ahmad, Mohamad Arif Awang Nawi, Mustafa Mamat

Malaysian Journal of Applied Sciences, 2018;1(1):45-54.
MyJurnal

This paper proposes the use of bootstrap, robust and fuzzy multiple linear regressions method in
handling general insurance in order to get improved results. The main objective of bootstrapping is to
estimate the distribution of an estimator or test statistic by resampling one's data or a model estimated
from the data under conditions that hold in a wide variety of econometric applications. In addition,
bootstrap also provides approximations to distributions of statistics, coverage probabilities of confidence
intervals, and rejection probabilities of hypothesis tests that produce accurate results. In this paper, we
emphasize the combining and modelling using bootstrapping, robust and fuzzy regression methodology.
The results show that alternative methods produce better results than multiple linear regressions (MLR)
model.

Matched MeSH terms: Biometry
Fulltext The satisfaction with life scale: Psychometric properties in Pakistani population

Barki N, Choudhry FR, Munawar K

Med J Islam Repub Iran, 2020;34:159.
PMID: 33500886 DOI: 10.47176/mjiri.34.159

Background: The construct of satisfaction with life has been studied across various cultures through the Satisfaction with Life Scale. The Satisfaction with Life Scale (SWLS) has been validated across several populations and languages. There are no published psychometric properties of its Urdu version. Hence, the aim of this study was to ascertain the psychometric properties of the Urdu version of the SWLS among the Urdu speaking population of Pakistan. Methods: The SWLS has already been translated into Urdu, and the Urdu version is available on the author's website however there is no information about its psychometric properties. To establish the psychometric properties especially the factor structure of the already translated Urdu SWLS, the SWLS-Urdu was administered to Urdu speaking population residing in Pakistan. The statistical analyses (i.e., normality through skewness and kurtosis, Kaiser-Meyer-Olkin (KMO) and Bartlett's test of sphericity, and test and re-test reliability) were conducted through SPSS version 25.0. Structure Equation Modelling via maximum likelihood method of estimation was used to perform confirmatory factor analysis on the data using AMOS 20.0. The significance level was set at p < 0.05. Results: The study was completed by recruiting 120 participants from different universities in Lahore, Pakistan. The sample was equally divided between male and female participants. The mean age of participants was 22.7(3.6) years. Test of the adequacy of the sample through Kaiser-Mayer-Olkin showed KMO=0.88 and Bartlett's test of sphericity (p<0.001). The Cronbach's alpha reliability of the scale was 0.90 and Confirmatory Factor Analysis confirmed a one-factor model as a good fit with strong statistical evidence. No factorial group variances were noticed in male and female participants. Conclusion: This study shows that Urdu SWLS has sound psychometric properties, is linguistically and culturally acceptable, and equally useful in assessing satisfaction with life in the Urdu speaking population.

Matched MeSH terms: Biometry

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