scholarly journals Application of Motivation in Nigeria Construction Industry: Factor Analysis Approach

2016 ◽  
Vol 8 (5) ◽  
pp. 271 ◽  
Author(s):  
Afuye Funso ◽  
Letema Sammy ◽  
Munala Gerryshom
Keyword(s):  
Factor Analysis ◽  
Standard Deviation ◽  
Success Rate ◽  
Quantitative Research ◽  
Job Security ◽  
Mean Value ◽  
Employment Protection ◽  
Financial Reward ◽  
Construction Firms ◽  
Rate Analysis

Motivation application by industry players is expedient for effective workforce towards meeting organisation goal. This study identified motivation variables in accordance with Herzberg theory. This was used to survey factors that influence supervisors’ productivity as well as determining its application by contractors in Nigeria construction firms. Quantitative research design approach was employed with same questionnaire to supervisors and contractors. 174 questionnaires were administered to supervisors and 105 was filled and returned which constitute 60% success rate. Moreover, 16 questionnaires were administered to contractors and 12 was filled and returned which constitute 75% success rate. Analysis was done by descriptive statistics and Exploratory Factor Analysis (EFA). The outcome reveals that supervisors are mostly motivated by job security with mean score of 4.11 and standard deviation of .95 and least motivated by overtime with mean value of 2.82 and standard deviation of 1.14. Moreover, the most potent factor influencing their productivity is financial reward. However, the analysis of contractors’ application of motivation reveals that they operate non financial reward. The paper recommends relating motivation application to workers needs as a way of enhancing productivity in the sector. Furthermore, enactment of employment protection legislations for job security should be enhanced to guide against arbitrary dismissal or retrenchment in the sector.

scholarly journals Significant Effect of Project Based Learning Video on Students’ Listening Skill in Pandemic Situation

2021 ◽  
Vol 5 (2) ◽  
pp. 425
Author(s):  
Ni Wayan Febiyanti ◽  
Putu Kerti Nitiasih ◽  
Luh Gd Rahayu Budiarta ◽  
Ni Luh Putu Era Adnyayanti
Keyword(s):  
Standard Deviation ◽  
Quantitative Research ◽  
Listening Comprehension ◽  
Mean Value ◽  
Project Based Learning ◽  
School Students ◽  
Innovative Teaching ◽  
Listening Skill ◽  
The Mean ◽  
The Impact

Listening is one of the most important language skills to be learned by students. However, it is very difficult for teachers to teach these skills in learning during the Covid-19 pandemic. Teachers need innovative teaching techniques, one of which is using video media. This study aims to investigate the impact of using project-based learning videos on students' listening comprehension skills. The population in this study involved 4th grade elementary school students. The sample in this study used 40 grade 4 students from one intact class that were selected with a specific purpose. This research includes quantitative research with one group pretest-posttest design. The data collection instrument in this study used a listening comprehension test and a listening comprehension assessment rubric. The data collected were analyzed using descriptive and inferential statistical analysis. From the results of the study, it was found that the mean value of the group at the posttest was 86.85 which was greater than the mean value at the pretest, which was 75.75. The standard deviation on the pretest also shows a value of 5,678 and the standard deviation on the posttest is 3,180. From the results of statistical inferential analysis shows that the value of Sig. (2-tailed) is .000. and lower than Sig. levels (.05). Therefore, it can be concluded that there is a significant impact on the use of project-based learning videos on students' listening comprehension during the covid-19 pandemic.

scholarly journals MITIGATING STRATEGIES OF THREATS TO QUANTITY SURVEYING PROFESSION IN THE NIGERIAN CONSTRUCTION INDUSTRY

2020 ◽  
Vol 10 (2) ◽  
pp. 1-13
Author(s):  
Lekan Ojo ◽  
Bolarinwa Ibrahim ◽  
Ayodeji Oke ◽  
Akinsami Akindeinde
Keyword(s):  
Developing Countries ◽  
Factor Analysis ◽  
Standard Deviation ◽  
Construction Industry ◽  
Construction Firms ◽  
Technology Advancement ◽  
Consulting Firms ◽  
Lagos State ◽  
Quantity Surveying ◽  
Practice Knowledge

Quantity surveying (QS) profession had faced numerous challenges in recent decades than when it was first introduced in developing countries. In addition, opportunities via technology advancement to the profession were also perceived as threats. This, therefore, inform the need to investigate the possible mitigating strategies to the threats confronting the profession in the Nigerian construction industry as an attempt to proffer solutions. Therefore, opinions of quantity surveyors in construction firms, consulting firms and government establishments of Lagos State, Nigeria were collected through a survey. The mitigating strategies garnered from extant literature were used to elicit the opinions of the respondents. One hundred and twelve (112) copies of questionnaires were administered, while the retrieved copies were used to analyse with both descriptive and inferential statistics. Mean score and Standard Deviation (SD) were used to rank the opinions of the respondents, and factor analysis was used to group the mitigating strategies into concise form for ease of discussion. The results of the analysis show that the mitigating strategies identified in the study are significant to mitigating the threats in the QS profession. The factor analysis conducted grouped the mitigating strategies into four major groups, namely practice, knowledge, progressive learning and ethics. These groupings were discussed within the context of the study and in relation with previous researches. This study proffers possible solutions to the threats to the QS profession that had been publicised in many studies.

scholarly journals Effectiveness of Mechanical Hydrotherapy on Pain Management among Patients with Arthritis Pain

2021 ◽  
pp. 247-255
Author(s):  
Deepali Ghungrud ◽  
Arti Raut ◽  
Ranjana Sharma ◽  
Ruchira Ankar
Keyword(s):  
Standard Deviation ◽  
Pain Management ◽  
Quantitative Research ◽  
Brain Injuries ◽  
Rating Scale ◽  
Mean Value ◽  
Control Group ◽  
Research Approach ◽  
Muscle Injuries ◽  
Experimental Group

Introduction: Hydrotherapy is a warm water therapy used in relieving pain such as muscle pain, back pain and inflammation associated with the arthritis pain. In arthritic condition hydrotherapy helps to improving blood circulation. It is commonly used for treating muscle injuries and stroke and brain injuries. Objectives: To determine the effectiveness of mechanical hydrotherapy on pain management among patients with arthritis pain. Materials and Methods: In this study a quantitative research approach with an experimental pre-test post-test research design was used for the present study. Purposive sampling was the sampling method used to collect data from arthritis patients on the basis of standardized numerical pain rating scale (NPRS). The sample size was 70, for experimental group 35 samples and control group was 35 samples. For experimental group the mechanical hydrotherapy was given along with prescribed medicines and for control group only prescribed medicine was monitored. Results: The majority of participants were male 41 (58.57%) and female 29 (41.43%) as compared to male. In experimental group male were 22 (62.85%) and female were 13 (37.15%) and in control group male were19 (54.28%) and female were 16 (45.72%). Before intervention on day-1 pre assessment pain   mean value was 7.51 and standard deviation was 1.46 in experimental group and In control group mean value was 7.91 and standard deviation was 1.12. On day-7 post assessment pain the outcome of an experimental group after mechanical hydrotherapy with reducing pain, mean value was1.80 and standard deviation was 1.07 and in control group mean value was 7.97 and 1.27. Statistically significant improvement seen in the level of pain regarding effectiveness of mechanical hydrotherapy on pain management among patients with arthritis pain. Conclusion: Hence it is statistically clear that, the mechanical hydrotherapy to arthritis patients is helpful in managing the pain effectively.

scholarly journals The Effect of Aromatherapy on Work Stress in Sialang Rindang Village Office

2021 ◽  
Vol 5 (7) ◽  
pp. 94-97
Author(s):  
Kursiah Warti Ningsih* ◽  
◽  
Ambiyar ◽  
Muhammad Giatman ◽  
Emulyani ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Work Stress ◽  
Quantitative Research ◽  
Mean Value ◽  
P Value ◽  
Test Results ◽  
Social Situations ◽  
Average Work ◽  
Quasi Experimental ◽  
Change In The Mean

Stress is an internal condition, can be caused by a physical (body), or environmental demands, and social situations, which are potentially damaging and uncontrolled. In a previous study, it had been carried out at the Sialang Rindang Village Office about work stress on 12 workers. Initial data obtained 33.3% or 4 people who experienced work stress from 12 respondents and 66.6% or 8 respondents did not experience work stress. To find out about the effect of giving aromatherapy to workers on work stress at the Sialang Rindang village office in 2020. The method used is a quantitative research using a quasi-experimental design. The number of samples used was 30 people. Before being given aromatherapy it is known that the average work stress score at the first measurement was 82.47 with a standard deviation of 33.277. After being given aromatherapy, it is known that the average work stress is 67.97 with a standard deviation of 13.389. Judging from the significant effect between the work stress of the first measurement with the second measurement, seen from the change in the mean value between the first and second measurements of 14.5 with a standard deviation of 19.8 where the statistical test results obtained P-value of 0,000 (<0.05).

Depression among children at shelter care institutions in Terengganu Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Siti Hajar Abdul Rauf ◽  
Asmah Ismail ◽  
Nuratikah Azima Razali ◽  
Ahmad Bisyri Husin Musawi Maliki
Keyword(s):  
Factor Analysis ◽  
Quantitative Research ◽  
Family Stress ◽  
Factor Loading ◽  
Self Esteem ◽  
Keywords Children ◽  
Self Confidence ◽  
Confirmatory Factor ◽  
The Status ◽  
Forward Stepwise

Background: Depression is a state of psychological disease that occurs to someone divers in age due to certain reasons. Among the factors include lack of self-confidence, problematic family, stress, low self-esteem and social environment. It could lead to a mental disorder that endangers the mental health. Aim: To investigate the status of children depression using the Children Depression Inventory (CDI) at 21 shelter care institutions in Terengganu Malaysia. Methodology: Quantitative research design was used. The sample consists of 404 respondents from 21 Islamic shelter cares such as Tahfiz, Madrasah and Orphanage in Terengganu Malaysia from the age of 10 to 18 years. Data was analyzed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Discriminant Analysis (DA) which then computed to identify the most dominant factors whereas reducing the initial five parameters with recommended >0.50 of factor loading. Results: Forward stepwise of DA shows the total of groups validation percentage by 92.08% (17 independent). The result showed that the highest frequency of respondent index was at a moderate level (62.87% respondents). This showed that children still can be controlled and cared to reduce depression. Keywords: Children Depression Index, Depression, Children, Institution, Shelter Care

scholarly journals Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2421
Author(s):  
Roberta Fusco ◽  
Vincenza Granata ◽  
Mauro Mattace Raso ◽  
Paolo Vallone ◽  
Alessandro Pasquale De Rosa ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Univariate Analysis ◽  
Mean Value ◽  
Blood Oxygenation ◽  
Breast Lesions ◽  
Dce Mri ◽  
Malignant Lesions ◽  
The Mean ◽  
And Diffusion ◽  
Skewness And Kurtosis

Purpose. To combine blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI), dynamic contrast enhanced MRI (DCE-MRI), and diffusion weighted MRI (DW-MRI) in differentiation of benign and malignant breast lesions. Methods. Thirty-seven breast lesions (11 benign and 21 malignant lesions) pathologically proven were included in this retrospective preliminary study. Pharmaco-kinetic parameters including Ktrans, kep, ve, and vp were extracted by DCE-MRI; BOLD parameters were estimated by basal signal S0 and the relaxation rate R2*; and diffusion and perfusion parameters were derived by DW-MRI (pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)). The correlation coefficient, Wilcoxon-Mann-Whitney U-test, and receiver operating characteristic (ROC) analysis were calculated and area under the ROC curve (AUC) was obtained. Moreover, pattern recognition approaches (linear discrimination analysis and decision tree) with balancing technique and leave one out cross validation approach were considered. Results. R2* and D had a significant negative correlation (−0.57). The mean value, standard deviation, Skewness and Kurtosis values of R2* did not show a statistical significance between benign and malignant lesions (p > 0.05) confirmed by the ‘poor’ diagnostic value of ROC analysis. For DW-MRI derived parameters, the univariate analysis, standard deviation of D, Skewness and Kurtosis values of D* had a significant result to discriminate benign and malignant lesions and the best result at the univariate analysis in the discrimination of benign and malignant lesions was obtained by the Skewness of D* with an AUC of 82.9% (p-value = 0.02). Significant results for the mean value of Ktrans, mean value, standard deviation value and Skewness of kep, mean value, Skewness and Kurtosis of ve were obtained and the best AUC among DCE-MRI extracted parameters was reached by the mean value of kep and was equal to 80.0%. The best diagnostic performance in the discrimination of benign and malignant lesions was obtained at the multivariate analysis considering the DCE-MRI parameters alone with an AUC = 0.91 when the balancing technique was considered. Conclusions. Our results suggest that the combined use of DCE-MRI, DW-MRI and/or BOLD-MRI does not provide a dramatic improvement compared to the use of DCE-MRI features alone, in the classification of breast lesions. However, an interesting result was the negative correlation between R2* and D.

Rigorous time-domain analysis of statistically oriented graphene sheet fluctuations

2017 ◽  
Vol 36 (5) ◽  
pp. 1351-1363 ◽  
Author(s):  
Athanasios N. Papadimopoulos ◽  
Stamatios A. Amanatiadis ◽  
Nikolaos V. Kantartzis ◽  
Theodoros T. Zygiridis ◽  
Theodoros D. Tsiboukis
Keyword(s):  
Monte Carlo ◽  
Standard Deviation ◽  
Finite Difference ◽  
Surface Waves ◽  
Time Domain ◽  
Finite Difference Time Domain ◽  
Mean Value ◽  
Content Type ◽  
The Mean ◽  
Difference Time

Purpose Important statistical variations are likely to appear in the propagation of surface plasmon polariton waves atop the surface of graphene sheets, degrading the expected performance of real-life THz applications. This paper aims to introduce an efficient numerical algorithm that is able to accurately and rapidly predict the influence of material-based uncertainties for diverse graphene configurations. Design/methodology/approach Initially, the surface conductivity of graphene is described at the far infrared spectrum and the uncertainties of its main parameters, namely, the chemical potential and the relaxation time, on the propagation properties of the surface waves are investigated, unveiling a considerable impact. Furthermore, the demanding two-dimensional material is numerically modeled as a surface boundary through a frequency-dependent finite-difference time-domain scheme, while a robust stochastic realization is accordingly developed. Findings The mean value and standard deviation of the propagating surface waves are extracted through a single-pass simulation in contrast to the laborious Monte Carlo technique, proving the accomplished high efficiency. Moreover, numerical results, including graphene’s surface current density and electric field distribution, indicate the notable precision, stability and convergence of the new graphene-based stochastic time-domain method in terms of the mean value and the order of magnitude of the standard deviation. Originality/value The combined uncertainties of the main parameters in graphene layers are modeled through a high-performance stochastic numerical algorithm, based on the finite-difference time-domain method. The significant accuracy of the numerical results, compared to the cumbersome Monte Carlo analysis, renders the featured technique a flexible computational tool that is able to enhance the design of graphene THz devices due to the uncertainty prediction.

scholarly journals An image dehazing algorithm based on double priors constraint

2018 ◽  
Vol 189 ◽  
pp. 04009
Author(s):  
Kun Liu ◽  
Shiping Wang ◽  
Linyuan He ◽  
Duyan Bi ◽  
Shan Gao
Keyword(s):  
Standard Deviation ◽  
Mean Value ◽  
Experimental Results ◽  
Dark Channel Prior ◽  
Image Dehazing ◽  
Color Distortion ◽  
Local Media ◽  
Dark Channel

Aiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmission of sky and non-sky regions respectively. After introducing color-lines prior to correct sky regions restored by the dark channel prior, we get an accurate transmission. Finally, the local media mean value and standard deviation are used to refine the transmission to obtain the dehazing image. Experimental results show that the algorithm has obvious advantages in the recovery of the sky area.

Synchronous Issue of IR-Based Large Scale Volume Localization System

2014 ◽  
Vol 496-500 ◽  
pp. 1643-1647
Author(s):  
Ying Feng Wu ◽  
Gang Yan Li
Keyword(s):  
Standard Deviation ◽  
Mobile Robot ◽  
Large Volume ◽  
Large Scale ◽  
Image Acquisition ◽  
Mean Value ◽  
Network Synchronization ◽  
Localization System ◽  
Localization Performance ◽  
The Mean

IR-based large scale volume localization system (LSVLS) can localize the mobile robot working in large volume, which is constituted referring to the MSCMS-II. Hundreds cameras in LSVLS must be connected to the control station (PC) through network. Synchronization of cameras which are mounted on different control stations is significant, because the image acquisition of the target must be synchronous to ensure that the target is localized precisely. Software synchronization method is adopted to ensure the synchronization of camera. The mean value of standard deviation of eight cameras mounted on two workstations is 12.53ms, the localization performance of LSVLS is enhanced.

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