scholarly journals دور نظام التعويضات في تحسين جودة الخدمات التعليمية (جامعة حلبجة نموذجا)

2018 ◽  
Vol 24 (108) ◽  
pp. 199
Author(s):  
مريوان مهدي جميل ◽  
شاخة وان جمال حبيب الله
Keyword(s):  
Standard Deviation ◽  
One Way Anova

المستخلص          يهتم البحث بدور نظام التعويضات في تحسين جودة الخدمات التعليمية (جامعة حلبجة نموذجا)، اذ تمثلت مشكلتنا بالسؤال الاتي: ماهو دور نظام التعويضات بابعاده المختلفة في تحسين جودة الخدمات التعليمية؟ وما شكل العلاقة والاثر لاستخدام ابعاد نظام التعويضات في تحسين جودة الخدمات التعليمية؟ في حين تضمنت فرضية البحث وجود علاقة ارتباط وأثر بين نظام التعويضات ومتغيراتها مجتمعة في جودة الخدمات التعليمية. وقد ثبت ذلك من خلال دراسة ميدانية وتوزيع استمارات الاستبانة على افراد عينة الدراسة (108) فرد. ولتجزئة وتحليل البيانات تم حساب المتوسط الحسابي Mean والانحراف المعياري Standard Deviation وتحلیل التباین الاحادی (One Way Anova) ومعامل الارتباط (Correlations) ومعامل أثر(Regression) من ضمن برنامج الاحصائي (SPSS) في هذه الدراسة. وقد توصلت نتائج البحث الى نتيجة رئيسية وهي وجود علاقة قوية بين نظام التعويضات وتحسين جودة الخدمات التعليمية. وأوصل البحث الى رفع جودة الخدمات التعليمية واجراء التحسينات في الرواتب لكي لايشغل الموظف بالبحث عن مصدر اخر لمعيشته.

Home ownership in Saudi Arabia: Spatial Dimensions

2018 ◽  
Author(s):  
Asharaf Abdul Salam
Keyword(s):  
Saudi Arabia ◽  
Standard Deviation ◽  
Detailed Analysis ◽  
Statistical Methods ◽  
Home Ownership ◽  
Ownership Type ◽  
Chi Square ◽  
Spatial Dimensions ◽  
One Way Anova

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>

Home ownership in Saudi Arabia: Spatial Dimensions

2018 ◽  
Author(s):  
Asharaf Abdul Salam
Keyword(s):  
Saudi Arabia ◽  
Standard Deviation ◽  
Detailed Analysis ◽  
Statistical Methods ◽  
Home Ownership ◽  
Ownership Type ◽  
Chi Square ◽  
Spatial Dimensions ◽  
One Way Anova

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>

scholarly journals Sustainable Learning Levels of High School Students

2019 ◽  
Vol 10 (1) ◽  
pp. 63-80
Author(s):  
Menekşe Eskici
Keyword(s):  
High School ◽  
High School Students ◽  
Standard Deviation ◽  
Significant Variation ◽  
Arithmetic Mean ◽  
Female Students ◽  
School Students ◽  
Cognitive Subscale ◽  
Academic Year ◽  
One Way Anova

Abstract The aim of this study was to determine sustainable learning levels of students. The study also attempted to determine sustainable learning levels of students based on gender and grade. The participants of the study consisted of 742 high school students (354 females and 388 males) in various high schools in Babaeski district of Kırklareli, Turkey during the 2017–2018 academic year. In order to collect data, a scale with two subscales – behavioural and cognitive – was developed. The data were analysed through SPSS 17, and arithmetic mean, standard deviation, t-test and one-way analysis of variance (One Way Anova) were used. According to the results of the study, it is concluded that sustainable learning level of the high school students is moderate. The study also found a significant variation in favour of the female students in “learning for development” subdimension on the cognitive subscale of the scale.

scholarly journals The Opinions of Teachers About the Innovation Level of Their Schools

2018 ◽  
Vol 6 (6) ◽  
pp. 134
Author(s):  
Hüseyin Aslan ◽  
Fatma Kesik ◽  
Cevat Elma
Keyword(s):  
Standard Deviation ◽  
Secondary Schools ◽  
Administrative Support ◽  
Teaching Experience ◽  
Demographic Variables ◽  
T Test ◽  
Percentage Frequency ◽  
Years Of Teaching Experience ◽  
Subject Areas ◽  
One Way Anova

This study aims to determine the opinions of teachers about the innovation level of their schools. The sample of this research includes 471 teachers working in primary and secondary schools in Sinop, a city in Turkey. “Innovative School Scale” developed by Aslan and Kesik (2017) was used in order to collect data in this study. Percentage, frequency, mean, standard deviation, T-test and one-way ANOVA were performed to determine teachers' opinions about the innovation level of their schools according to the demographic variables. The findings show that the opinions of teachers about the innovation level of their schools are quite high with a level of “often” in the dimensions of innovative atmosphere, administrative support and the overall scale and with a level of “sometimes” in the organizational impediments. While the teachers’ opinions indicate no significant differences regarding their genders, they show significant differences regarding their subject areas, years of teaching experience and teaching level of school. According to findings, branch teachers, teachers working in secondary schools and teachers having 21 or more years of teaching experience were found to have a higher level of opinions about the innovation level of their schools. The findings and suggestions obtained by the results are expected to contribute to the discussions and literature about increasing innovation level of schools.

scholarly journals Factors Affecting Customer Decision on Using Tabung Haji Service Center in Malaysia

2021 ◽  
Vol 58 (1) ◽  
pp. 1318-1324
Author(s):  
Abbas Paliket
Keyword(s):  
Standard Deviation ◽  
Average Score ◽  
Service Center ◽  
Average Income ◽  
Factors Affecting ◽  
Monthly Average ◽  
The People ◽  
The Mean ◽  
High Level ◽  
One Way Anova

The objective of this research was to examine the factors affecting the decision of choosing the Tabung Haji Service center in Malaysia. Questionnaires were used for data collection. The sample groups were individuals living in the state of Kedah, Malaysia. The statistics used for data analysis were frequency, percentage, mean () , standard deviation (SD), and comparison test (t). -test) and one-way ANOVA analysis. It found most of them were male who are under 25 years old. They were single and hold undergraduate education. Their monthly average income was between RM1,201- RM2,000. The overall results of marketing mix factors were at a high level ( = 4.301 S.D. = 0.493). When sorted by the importance that the process aspect and the people aspect, they were at the most important level with the average score of 4.658 4.555 and standard deviation 0.435 0.445 respectively. The physical evidence, price, promotion, place, and product were at a high level. The mean score was 4.246, 4.236, 4.187, 4.133, 4.095 and the standard deviation were at 0.95, 0.363, 0.549, 0.580, 0.569, 0.514, respectively. There were significant influence of age, educational level, and monthly average income on the market mix factors of customers’ decision to selecting Tabung Haji Service Center in Malaysia at a statistically significant level of 0.05.

scholarly journals Surface Hardness of Hybrid Ionomer with Different Curing Time (In Vitro Study)

2017 ◽  
Vol 1 ◽  
Author(s):  
Arfita Sipahutar ◽  
Astrid Yudhit ◽  
Rusfian Rusfian
Keyword(s):  
Standard Deviation ◽  
Surface Hardness ◽  
In Vitro Study ◽  
Hardness Test ◽  
Curing Time ◽  
Mean Values ◽  
The Mean ◽  
One Way Anova ◽  
Group 1

<p class="AbstractContent"><strong>Objective:</strong> The aim of this study was to evaluate the surface hardness of hybrid ionomer with different curing times (20, 30, 40, and 50 seconds).</p><p class="AbstractContent"><strong>Methods</strong>: This was an experimental laboratory with posttest only group design. Twenty-four disk shape hybrid ionomer specimens with a diameter of 5 mm and 2 mm in thickness were prepared and polymerized with Quartz Tungsten Halogen (QTH) for 20, 30, 40, and 50 seconds as group 1, 2, 3, and 4 respectively. All samples were immersed in distilled water under 37°C temperature for 24 hours as initial treatment. Surface hardness test was done using Vickers Hardness Test with load 50 gf for 20 second. The Data was analyzed with one way ANOVA (<em>p </em>≤ 0.05).</p><p class="AbstractContent"><strong>Results</strong>: Using one way anova test (<em>p </em>≤ 0.05) shows the mean and standard deviation of the group 1 is 25,900 ± 2,5659VHN; group 2 is 29,800 ± 1,1983 VHN; group 3 is 31,283 ± 0,5037 VHN; group 4 is 36, 183 ± 2,3430 VHN and the obtained value <em>p </em>= 0.000 (<em>p </em>≤ 0.05).</p><p class="AbstractContent">The mean values and standard deviation were 25.900 ± 2.5659 VHN; 29.800 ± 1.1983 VHN; 31.283 ±0.5037 VHN; 6.183 ± 2.3430 VHN for group 1, 2, 3, and 4 respectively. Statistic analyzed showed a significant different among groups with <em>p</em> value =0.000 (<em>p</em> &lt; 0.05).</p><strong>Conclusion</strong> There are significant differences in surface hardness of hybrid ionomer with different curing time (20, 30,40, and 50 seconds). The longer curing time will increase the surface hardness of hybrid ionomer.

scholarly journals Assessment of M-Service Acceptance in Educational Context

2019 ◽  
Vol 54 (5) ◽  
Author(s):  
Mohamed Adel Al-Shaher
Keyword(s):  
Social Sciences ◽  
Standard Deviation ◽  
Data Processing ◽  
Recurrence Rate ◽  
Educational Context ◽  
Positive Role ◽  
Innovative Method ◽  
And Training ◽  
One Way Anova

The paper investigates students’ perspective regarding the role of Smartphones in an educational context. The method consists in conducting a questionnaire among 80 respondents – final-year students from four universities in Baghdad, Iraq; and data processing through Statistical Package for Social Sciences (SPSS 22.0) by applying recurrence, rate, mean score, standard deviation, autonomous example t-test and One Way ANOVA. Such a blended approach allows demonstrating that smartphones play a positive role in helping students learn and get educated. This study is significant for E-learners as it offers an innovative method of teaching; however a sound pedagogical infrastructure and training is needed.

Analysis of Variance

2005 ◽  
Author(s):  
D. Brynn Hibbert ◽  
J. Justin Gooding
Keyword(s):  
Standard Deviation ◽  
Analysis Of Variance ◽  
Analytical Methods ◽  
Influence Factors ◽  
Effect Of Temperature ◽  
Significant Difference ◽  
Measurement Results ◽  
The Individual ◽  
One Way Anova ◽  
Combined Data

• What ANOVA is, and what it is used for. • To perform and interpret a one-way ANOVA. • To determine which effects are significant using least significant difference. • To perform and interpret a two-way ANOVA. … ANOVA is the workhorse method of using statistics to compare means and determine the effects of influence factors on measurement results (i.e., anything that can be varied or measured that may affect the result). In chapter 3 we learned how to use Student t-tests to compare two means. There is nothing to stop us performing a series of t-tests on pairs of means that must be compared, but a different approach that looks at the variance of data, ANOVA, can decide if there is a significant effect caused by a factor for which we have any number of sets of data. ANOVA relies on an understanding of two things. First, how the variances of different components can be combined to give the overall observed variance of data. Second, that a difference in means can lead to a spread of results of the combined data that can be detected in terms of an increased variance. As an example, consider an attempt to determine if there is a significant difference between the means of replicate analyses conducted by two methods. The standard deviation of each set of results will estimate the repeatability of the measurement. If the two methods have different means then the standard deviation of the combined data will be increased by any differences arising from the methods. This is illustrated in figure 4.1. When the means are far apart, even though the individual standard deviations are not great, the combination has a huge standard deviation. ANOVA is powerful because it can determine if there is significant difference among a number of instances of the same factor (e.g., if we wanted to know if there were any difference in the result between three or more analytical methods), and also among different factors (e.g., what is the effect of temperature and concentration on the yield of a reaction?).

scholarly journals Tourist’s decision to travel to Thai cultural tourism destination in central part of Thailand

2020 ◽  
Vol 164 ◽  
pp. 10002
Author(s):  
Nalin Simasathiansophon ◽  
Chotima Jotikasthira ◽  
Suraporn Onputtha ◽  
Atchira Tiwasing
Keyword(s):  
Standard Deviation ◽  
Data Collection ◽  
Educational Level ◽  
Sampling Method ◽  
Cultural Tourism ◽  
Survey Questionnaire ◽  
Personal Factors ◽  
Inferential Statistic ◽  
Convenience Sampling ◽  
One Way Anova

The objectives of this study were to study the factors (personal factors and tourist’s behaviours) affecting the tourists’ decision to visit the cultural tourism. The samples were of 484 tourists visiting cultural attraction places in the central part of Thailand. The survey questionnaire was employed to use for data collection, with the purposiveness and convenience sampling method. Descriptive statistic with frequency, percentage, mean and standard deviation was used to analyze the data. Inferential statistic including independent-sample t-test and One-way ANOVA was used to test the hypotheses. The result indicated that personal factors including age and career affected the tourist’s decision; meanwhile, gender, marital status and educational level did not affect the tourist’s decision. Also, the tourist’s behaviour including provincial destination, frequency of travelling, reason of travelling and accompaniers affected the tourist’s decision at the significant level as of 0.05. The result of the study can be useful for tourism entrepreneurs to set the appropriate cultural tourism activities for the tourist.

scholarly journals Clinical Evaluation of the Whitening Effect of Over-the-Counter Dentifrices on Vital Teeth

2014 ◽  
Vol 25 (3) ◽  
pp. 203-206 ◽  
Author(s):  
Bruna Andrade Horn ◽  
Bruna Fortes Bittencourt ◽  
Osnara Maria Mongruel Gomes ◽  
Patrícia Almeida Farhat
Keyword(s):  
Clinical Trial ◽  
Standard Deviation ◽  
Randomized Clinical Trial ◽  
Clinical Evaluation ◽  
T Test ◽  
Over The Counter ◽  
Whitening Effect ◽  
Before And After ◽  
Color Alteration ◽  
One Way Anova

This randomized clinical trial evaluated the whitening potential of commercially available toothpastes. Sixty patients were selected and randomly divided into 4 groups (n=15), according to the dentifrice used: GI (control) - Colgate Total 12, GII - Close-up White Now, GIII: Oral-B 3D White, GIV: Colgate Luminous White. Three daily brushings were performed for 2 to 3 min each, during a period of 15 days. Patients had the color of their teeth evaluated before and after the treatment by means of a spectrophotometer (Vita EasyShade - CIE L*a*b*). Data obtained from L values were analyzed by one-way ANOVA and t test. ∆E was also evaluated to calculate color alteration, by NBS criteria. Mean (standard deviation) of initial values were GI: 82.9 (4.9); GII: 83.9 (5.8); GIII: 83.9 (7.2); GIV: 86.4 (3.4) and final values were GI: 84.1 (6.3); GII: 84.6 (6.1); GIII: 84.2 (7.1); GIV: 88.2 (2.8). In conclusion, the dentifrices showed no lightening action on vital teeth, except for Colgate Luminous White; but according to NBS criteria, there was no noticeable visible change to the patients in any group.

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