Displaying publications 21 - 40 of 164 in total

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  1. Bujang MA
    Malays J Med Sci, 2021 Apr;28(2):15-27.
    PMID: 33958957 DOI: 10.21315/mjms2021.28.2.2
    Determination of a minimum sample size required for a study is a major consideration which all researchers are confronted with at the early stage of developing a research protocol. This is because the researcher will need to have a sound prerequisite knowledge of inferential statistics in order to enable him/her to acquire a thorough understanding of the overall concept of a minimum sample size requirement and its estimation. Besides type I error and power of the study, some estimates for effect sizes will also need to be determined in the process to calculate or estimate the sample size. The appropriateness in calculating or estimating the sample size will enable the researchers to better plan their study especially pertaining to recruitment of subjects. To facilitate a researcher in estimating the appropriate sample size for their study, this article provides some recommendations for researchers on how to determine the appropriate sample size for their studies. In addition, several issues related to sample size determination were also discussed.
    Matched MeSH terms: Sample Size
  2. Ali MM, Lim KS, Yang HZ, Chong WY, Lim WS, Ahmad H
    Appl Opt, 2013 Aug 1;52(22):5393-7.
    PMID: 23913056 DOI: 10.1364/AO.52.005393
    This paper proposes an approach based on an optical imaging technique for the period measurement of fiber Bragg gratings (FBG). The simple, direct technique involves a differential interface contrast (DIC) microscope and a high-resolution CCD camera. Image processing is performed on the microscope images to obtain low-noise grating profiles and then the grating periods. Adopting a large image sample size in the image processing can reduce uncertainty. During the investigation, FBGs of different grating periods are fabricated by prestraining the photosensitive fibers during the UV-writing process. A good linearity between the measured Bragg wavelengths and grating periods is observed and the measured strain-optics coefficient was found to be in agreement with reported literature.
    Matched MeSH terms: Sample Size
  3. Singh S, Mirdha N, Shilpa PH, Tiwari RVC, Abdul MSM, Sainudeen S
    J Int Soc Prev Community Dent, 2019 06 07;9(3):245-249.
    PMID: 31198696 DOI: 10.4103/jispcd.JISPCD_411_18
    Aim and Objective: The aim of this study is to evaluate the apical transportation, centering ability, and volume of removed dentin of WaveOne Gold (WOG) and 2Shape with the use of cone-beam computed tomography.

    Materials and Methods: Freshly extracted mandibular teeth with sample size of thirty were carefully chosen and instrumented using the 2Shape and WOG rotary files. Preoperative and postinstrumentation cone-beam computed tomographic scans were done to accomplish mesial and distal dentin walls' measurements and volume of removed dentin calculations, apical transportation, and centering ratio. Statistical analysis was performed and confirmed by independent t-test. Statistical significance was set at 5%.

    Results: When shaping ability of 2Shape and WOG was evaluated, it was reported that there was no statistically significant differences noted among the groups in relation to the total volume of removed dentin, apical transportation, and centering ratio.

    Conclusion: It can be concluded that 2Shape and WOG preserved the original canal anatomy well and did not eliminate excess dentin during shaping and cleaning. Rotary nickel-titanium files which work on the principle of rotary movement attained an outcome analogous to that of the rotary files working on reciprocating motion in relation to alteration in angle.

    Matched MeSH terms: Sample Size
  4. Nur Atiqah Zaharulli
    ESTEEM Academic Journal, 2020;16(2):88-95.
    MyJurnal
    Questioned document examination becomes a great interest and one of the broad fields in forensic science. It involves the analysis of ink, handwriting and signature examination, paper’s physical structure analysis and the ageing of a document. Ink analysis in forensic document examination is a challenging process. Questioned documents examiners are dealing with unknown source of ink and minute sample size. Ink extraction needs to be done before the ink analysis. 17 gel pen ink samples were chosen in this study. Solubility test has been done to determine the degree of solubility of ink in a variety of organic solvents. Extraction solvent optimization is a process to evaluate the efficiency of organic solvents to extract ink samples. Ethanoic acid showed the ability to dissolve most of the ink samples and displayed maximum absorbance of UV-Vis spectra.
    Matched MeSH terms: Sample Size
  5. Sulaiman NFC, Akhir NHM, Hussain NE, Jamin RM, Ramli NH
    Data Brief, 2020 Aug;31:106018.
    PMID: 32728602 DOI: 10.1016/j.dib.2020.106018
    This data article presents the impact of parents' socioeconomic status on undergraduate students' academic achievements at a Malaysian higher education institution. The eastern parts of Peninsular Malaysia are populated by low-income citizens compared to the national average. The survey was conducted in Universiti Malaysia Terengganu. The targeted population is final year social science students. The total size of the target population is 965 students. Using Krejcie and Morgan's sampling method, a sample size of 333 students was surveyed. A descriptive research design was adopted in this study. Data were obtained from stratified random sampling comprising a total of 333 respondents in Universiti Malaysia Terengganu from 14 states across Malaysia. The data were collected through a semi-structured questionnaire. Data analysis was carried out using tables and figures. The findings revealed that most of the students stated that a parent's socioeconomic status does not influence their academic achievement.
    Matched MeSH terms: Sample Size
  6. Ahmad Fuad Abdul Rahim, Muhamad Saiful Bahri Yusoff
    ASEAN Journal of Psychiatry, 2010;11(1):56-63.
    MyJurnal
    Objective: Medical training has always been regarded as a highly stressful environment to students. This article described a preliminary data on impact of a stress-management programme on medical students’ stress level. Methods: This is a quasi-experimental before after comparison study design. The programme was run over half-day and convenient sampling method was applied. Sample size as calculated for this preliminary study was 38. The 12 items General Health Questionnaire (GHQ-12) was administered prior to the
    programme and four months later. Data was analysed using SPSS version 12. Results: 34 participants were involved in this study. This study found that there was a significant difference in participants’ GHQ-12 scores before and after the programme (p
    Matched MeSH terms: Sample Size
  7. Abidin, N. Z., Adam, M. B., Midi, H.
    MyJurnal
    Extreme Value Theory (EVT) is a statistical field whose main focus is to investigate extreme phenomena. In EVT, Fréchet distribution is one of the extreme value distributions and it is used to model extreme events. The degree of fit between the model and the observed values was measured by Goodness-of-fit (GOF) test. Several types of GOF tests were also compared. The tests involved were Anderson-Darling (AD), Cramer-von Mises (CVM), Zhang Anderson Darling (ZAD), Zhang Cramer von-Mises (ZCVM) and Ln. The values of parameters μ, σ and ξ were estimated by Maximum Likelihood. The critical values were developed by Monte-Carlo simulation. In power study, the reliability of critical values was determined. Besides, it is of interest to identify which GOF test is superior to the other tests for Fréchet distribution. Thus, the comparisons of rejection rates were observed at different significance levels, as well as different sample sizes, based on several alternative distributions. Overall, given by Maximum Likelihood Estimation of Fréchet distribution, the ZAD and ZCVM tests are the most powerful tests for smaller sample size (ZAD for significance levels 0.05 and 0.1, ZCVM for significance level 0.01) as compared to AD, which is more powerful for larger sample size.
    Matched MeSH terms: Sample Size
  8. Hamid, H., Ngu, P.A.H., Alipiah, F.M.
    MyJurnal
    The issue of classifying objects into groups when measured variables in an experiment are mixed has attracted the attention of statisticians. The Smoothed Location Model (SLM) appears to be a popular classification method to handle data containing both continuous and binary variables simultaneously. However, SLM is infeasible for a large number of binary variables due to the occurrence of numerous empty cells. Therefore, this study aims to construct new SLMs by integrating SLM with two variable extraction techniques, Principal Component Analysis (PCA) and two types of Multiple Correspondence Analysis (MCA) in order to reduce the large number of mixed variables, primarily the binary ones. The performance of the newly constructed models, namely the SLM+PCA+Indicator MCA and SLM+PCA+Burt MCA are examined based on misclassification rate. Results from simulation studies for a sample size of n=60 show that the SLM+PCA+Indicator MCA model provides perfect classification when the sizes of binary variables (b) are 5 and 10. For b=20, the SLM+PCA+Indicator MCA model produces misclassification rates of 0.3833, 0.6667 and 0.3221 for n=60, n=120 and n=180, respectively. Meanwhile, the SLM+PCA+Burt MCA model provides a perfect classification when the sizes of the binary variables are 5, 10, 15 and 20 and yields a small misclassification rate as 0.0167 when b=25. Investigations into real dataset demonstrate that both of the newly constructed models yield low misclassification rates with 0.3066 and 0.2336 respectively, in which the SLM+PCA+Burt MCA model performed the best among all the classification methods compared. The findings reveal that the two new models of SLM integrated with two variable extraction techniques can be good alternative methods for classification purposes in handling mixed variable problems, mainly when dealing with large binary variables.
    Matched MeSH terms: Sample Size
  9. 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: Sample Size
  10. Bujang MA, Omar ED, Baharum NA
    Malays J Med Sci, 2018 Nov;25(6):85-99.
    PMID: 30914882 DOI: 10.21315/mjms2018.25.6.9
    Background: Reliability studies are commonly used in questionnaire development studies and questionnaire validation studies. This study reviews the sample size guideline for Cronbach's alpha test.

    Methods: Manual sample size calculation using Microsoft Excel software and sample size tables were tabulated based on a single coefficient alpha and the comparison of two coefficients alpha.

    Results: For a single coefficient alpha test, the approach by assuming the Cronbach's alpha coefficient equals to zero in the null hypothesis will yield a smaller sample size of less than 30 to achieve a minimum desired effect size of 0.7. However, setting the coefficient of Cronbach's alpha larger than zero in the null hypothesis could be necessary and this will yield larger sample size. For comparison of two coefficients of Cronbach's alpha, a larger sample size is needed when testing for smaller effect sizes.

    Conclusions: In the assessment of the internal consistency of an instrument, the present study proposed the Cronbach's alpha's coefficient to be set at 0.5 in the null hypothesis and hence larger sample size is needed. For comparison of two coefficients' of Cronbach's alpha, justification is needed whether testing for extremely low and extremely large effect sizes are scientifically necessary.

    Matched MeSH terms: Sample Size
  11. English M, Gillespie G, Goossens B, Ismail S, Ancrenaz M, Linklater W
    PeerJ, 2015;3:e1030.
    PMID: 26290779 DOI: 10.7717/peerj.1030
    Plant recovery rates after herbivory are thought to be a key factor driving recursion by herbivores to sites and plants to optimise resource-use but have not been investigated as an explanation for recursion in large herbivores. We investigated the relationship between plant recovery and recursion by elephants (Elephas maximus borneensis) in the Lower Kinabatangan Wildlife Sanctuary, Sabah. We identified 182 recently eaten food plants, from 30 species, along 14 × 50 m transects and measured their recovery growth each month over nine months or until they were re-browsed by elephants. The monthly growth in leaf and branch or shoot length for each plant was used to calculate the time required (months) for each species to recover to its pre-eaten length. Elephant returned to all but two transects with 10 eaten plants, a further 26 plants died leaving 146 plants that could be re-eaten. Recursion occurred to 58% of all plants and 12 of the 30 species. Seventy-seven percent of the re-eaten plants were grasses. Recovery times to all plants varied from two to twenty months depending on the species. Recursion to all grasses coincided with plant recovery whereas recursion to most browsed plants occurred four to twelve months before they had recovered to their previous length. The small sample size of many browsed plants that received recursion and uneven plant species distribution across transects limits our ability to generalise for most browsed species but a prominent pattern in plant-scale recursion did emerge. Plant recovery time was a good predictor of time to recursion but varied as a function of growth form (grass, ginger, palm, liana and woody) and differences between sites. Time to plant recursion coincided with plant recovery time for the elephant's preferred food, grasses, and perhaps also gingers, but not the other browsed species. Elephants are bulk feeders so it is likely that they time their returns to bulk feed on these grass species when quantities have recovered sufficiently to meet their intake requirements. The implications for habitat and elephant management are discussed.
    Matched MeSH terms: Sample Size
  12. Cugati N, Kumaresan R, Srinivasan B, Karthikeyan P
    J Forensic Dent Sci, 2015 Sep-Dec;7(3):227-31.
    PMID: 26816464 DOI: 10.4103/0975-1475.172445
    BACKGROUND: Age estimation is of prime importance in forensic science and clinical dentistry. Age estimation based on teeth development is one reliable approach. Many radiographic methods are proposed on the Western population for estimating dental age, and a similar assessment was found to be inadequate in Malaysian population. Hence, this study aims at formulating a regression model for dental age estimation in Malaysian children population using Cameriere's method.
    MATERIALS AND METHODS: Orthopantomographs of 421 Malaysian children aged between 5 and 16 years involving all the three ethnic origins were digitalized and analyzed using Cameriere's method of age estimation. The subjects' age was modeled as a function of the morphological variables, gender (g), ethnicity, sum of normalized open apices (s), number of tooth with completed root formation (N0) and the first-order interaction between s and N0.
    RESULTS: The variables that contributed significantly to the fit were included in the regression model, yielding the following formula: Age = 11.368-0.345g + 0.553No -1.096s - 0.380s.No, where g is a variable, 1 for males and 2 for females. The equation explained 87.1% of total deviance.
    CONCLUSION: The results obtained insist on reframing the original Cameriere's formula to suit the population of the nation specifically. Further studies are to be conducted to evaluate the applicability of this formula on a larger sample size.
    KEYWORDS: Age estimation; Cameriere's method; dental age; forensic odontology
    Matched MeSH terms: Sample Size
  13. Shahid F, Alam MK, Khamis MF
    Eur J Dent, 2016 3 2;9(4):490-499.
    PMID: 26929686 DOI: 10.4103/1305-7456.172620
    OBJECTIVE: To investigate the maxillary and mandibular anterior crown width/height ratio and its relation to various arch perimeters, arch length, and arch width (intercanine, interpremolar, and intermolar) groups.

    MATERIALS AND METHODS: The calculated sample size was 128 subjects. The crown width/height, arch length, arch perimeter, and arch width of the maxilla and mandible were obtained via digital calliper (Mitutoyo, Japan). A total of 4325 variables were measured. The sex differences in the crown width and height were evaluated. Analysis of variance was applied to evaluate the differences between arch length, arch perimeter, and arch width groups.

    RESULTS: Males had significantly larger mean values for crown width and height than females (P ≤ 0.05) for maxillary and mandibular arches, both. There were no significant differences observed for the crown width/height ratio in various arch length, arch perimeter, and arch width (intercanine, interpremolar, and intermolar) groups (P ≤ 0.05) in maxilla and mandible, both.

    CONCLUSIONS: Our results indicate sexual disparities in the crown width and height. Crown width and height has no significant relation to various arch length, arch perimeter, and arch width groups of maxilla and mandible. Thus, it may be helpful for orthodontic and prosthodontic case investigations and comprehensive management.

    Matched MeSH terms: Sample Size
  14. 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: Sample Size
  15. Tay KW, Subramaniam P, Oei TP
    Psychogeriatrics, 2019 May;19(3):264-275.
    PMID: 30548731 DOI: 10.1111/psyg.12391
    Dementia is a neurocognitive disorder that affects a person's abilities in daily functioning. Anxiety and depression symptoms are common among persons with dementia. Cognitive behavioural therapy (CBT) has been tested to manage their depression and anxiety symptoms. However, the purpose of CBT in managing these symptoms is unclear. Therefore, this paper aims to clarify whether CBT can be used to reduce depression and anxiety symptoms in persons with dementia. The electronic databases PubMed, PsycINFO, MEDLINE, and CINAHL were used to locate relevant studies. Eleven studies, which involved a total of 116 older adults, were identified. The findings suggest that CBT can be effective in reducing depression and anxiety symptoms. Based on our current review, the findings from previous studies form a promising foundation on which to conduct a major randomized controlled trial with a larger sample size. This review discusses some of the most important considerations in applying CBT to persons with dementia, and these may be beneficial for future studies that explore this area and seek more conclusive evidence on the use of CBT.
    Matched MeSH terms: Sample Size
  16. Lung, Wei Foon, Yong, Kang Cheah, Nor Azam Abdul Razak
    MyJurnal
    The present study examines the factors affecting fruit and vegetable (FV) consumption in Malaysia. A nationally representative data that consists of a large sample size is used. Hence, the findings can provide inferential information. The present study uses secondary data from the Malaysian Household Expenditure Survey 2009/2010. The survey was carried out using a two-stage stratified sampling. The first stage was based on Enumeration Blocks, while the second stage was based on Living Quarters. A lognormal hurdle model is used to estimate the consumption decision and amount decision of FV across ethnic groups. The results suggest that household size, income, gender, marital status, age and education play significant roles in FV consumption. The probability of consuming FV and amount spent increase with household size (p
    Matched MeSH terms: Sample Size
  17. Schnakers C, Hirsch M, Noé E, Llorens R, Lejeune N, Veeramuthu V, et al.
    Brain Sci, 2020 Dec 02;10(12).
    PMID: 33276451 DOI: 10.3390/brainsci10120930
    Covert cognition in patients with disorders of consciousness represents a real diagnostic conundrum for clinicians. In this meta-analysis, our main objective was to identify clinical and demographic variables that are more likely to be associated with responding to an active paradigm. Among 2018 citations found on PubMed, 60 observational studies were found relevant. Based on the QUADAS-2, 49 studies were considered. Data from 25 publications were extracted and included in the meta-analysis. Most of these studies used electrophysiology as well as counting tasks or mental imagery. According to our statistical analysis, patients clinically diagnosed as being in a vegetative state and in a minimally conscious state minus (MCS-) show similar likelihood in responding to active paradigm and responders are most likely suffering from a traumatic brain injury. In the future, multi-centric studies should be performed in order to increase sample size, with similar methodologies and include structural and functional neuroimaging in order to identify cerebral markers related to such a challenging diagnosis.
    Matched MeSH terms: Sample Size
  18. Lindgren AG, Braun RG, Juhl Majersik J, Clatworthy P, Mainali S, Derdeyn CP, et al.
    Int J Stroke, 2021 Apr 26.
    PMID: 33739214 DOI: 10.1177/17474930211007288
    Numerous biological mechanisms contribute to outcome after stroke, including brain injury, inflammation, and repair mechanisms. Clinical genetic studies have the potential to discover biological mechanisms affecting stroke recovery in humans and identify intervention targets. Large sample sizes are needed to detect commonly occurring genetic variations related to stroke brain injury and recovery. However, this usually requires combining data from multiple studies where consistent terminology, methodology, and data collection timelines are essential. Our group of expert stroke and rehabilitation clinicians and researchers with knowledge in genetics of stroke recovery here present recommendations for harmonizing phenotype data with focus on measures suitable for multicenter genetic studies of ischemic stroke brain injury and recovery. Our recommendations have been endorsed by the International Stroke Genetics Consortium.
    Matched MeSH terms: Sample Size
  19. Janssen SMJ, Anthony K, Chang CYM, Choong EL, Neoh JY, Lim A
    Memory, 2020 Dec 31.
    PMID: 33382346 DOI: 10.1080/09658211.2020.1868525
    When examining spontaneously recovered memories of childhood sexual abuse, victims report that there had been periods in which they had forgotten the abuse. However, there are sometimes people with whom the victim had spoken about the abuse during the period in which the victim had supposedly forgotten the abuse, suggesting the victim had not forgotten the abuse but the prior recall of the abuse. The underestimation of previous knowledge is termed the forgot-it-all-along effect. The goal of the present study was replicating the results of a laboratory study that had provided a theoretical understanding for the forgot-it-all-along effect by showing that people have difficulties remembering "remembering" when the memory had previously been recalled in a different context. The effect was replicated by using the same neutral context sentences, suggesting the finding was robust. We also extended the experimental design by using positive and negative context sentences, but it did not become smaller when the positive sentences provided the different context or larger when the negative sentences provided the different context. Although the sample sizes were sufficiently large to provide statistical power for the forgot-it-all-along effect, they may not have been sufficiently large to observe the moderation effects of emotional context.
    Matched MeSH terms: Sample Size
  20. Nur Fadzlina Zulkefli, Muhammad Muzaffar Ali Khan Khattak, Wan Azdie Mohd Abu Bakar
    MyJurnal
    The aim of this study was to assess picky eating behavior existence among university students. This was an observational cross sectional study design. The sample size was calculated by using single proportion formula based on the adult prevalence of picky eating of 28.7 % which gives a sample of ~ 324 students. However, 407 students online registered to participate out which 403 students responded. A set of questionnaire was posted online. The questionnaire contained three sections which are demographic information, determinants of picky eating behavior and normal eating behaviors. Furthermore, the students were categorized as non-picky eating behavior, moderate picky eating behavior, and extreme picky eating behavior. The statistical analysis
    carried out was mainly descriptive in order to determine the extent of picky eating behavior among the university students. Student t-test was used to find the differences between picky and non-picky eaters in terms of eating behaviors. Among the students possessing non picky eating behavior, moderate picky eating behavior and extreme picky eating behavior were 168 (41.69%), were 130(32.26%), 105(26.05%) respectively. On overall basis 235(58.31 %) of the students were having picky eating behavior. The present study revealed that picky eating behavior exists among the university students which need to be addressed.
    Matched MeSH terms: Sample Size
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