Statistics and electronic systems are among the most important basic components of development and development, and play a major and effective role in decision-making, setting policies and programs, and organizing the workflow of all departments and academic and administrative units by providing reliable statistical information and modern and accurate numbers, and coordinating harmony and information integration among all corners of the university through Improving and improving electronic systems and providing technical and technical support for all university systems. From this standpoint, we seek to be the reliable source of information, evidence, accurate statistical reports and updated systems, in addition to the main pillar that plays a pivotal role in advancing the development process and actively contributing to the service of decision makers and policy makers in accordance with modern systems and quality standards followed at the university .
Proceeding from the university’s vision of “leadership in teaching and learning, community service, and active participation in building a society of science and knowledge . It was proposed The president of the university establishes a statistics center or something similar to a ” statistical analysis center ” and is directly linked to the university president’s office and the quality assurance unit.
Tasks of the Statistics Center:
- Monitoring the quality, accuracy, and validity of the statistical analysis of academic studies (PhD and MA theses and graduation projects) within the university and giving approval for them.
- Carrying out the necessary statistical analyzes for students (PhD, MA and BA) as well as researchers inside and outside the university.This service is not provided for free as it requires strenuous efforts that may extend to weeks or months of continuous work, supervision and follow-up . Therefore, a sum of money must be paid for this work, determined based on the type and volume of work, taking into account especially for Al-Quds University students.
- Organizing and designing forms and forms related to the collection of statistical information and following up on the procedures for completing their filling.
- The statistical center is responsible for issuing a certificate of sobriety of statistical analysis, stamped and signed, to confirm the integrity and accuracy of the analyses .
- Supervising all statistics issued by the university to ensure the validity of the statistical analysis.
- Carrying out studies and statistical consultancy for the university and its centers, as requested by the concerned official authorities.
Statistical analysis methods used in the center:
1. Quantitative Data Analysis: Quantitative data analysis simply means analyzing data based on numbers – or data that can be easily “turned” into numbers without losing any meaning. Quantitative analysis involves measuring data with the help of some form of statistical analysis. Quantitative analysis is generally used for three purposes :
- To measure the differences between groups
- The relationships between the variables
- Hypothesis testing in a rigorous scientific manner .
The programs used in the center to analyze this type of data are: OpenBugs , R (free software), IBM AMOS, Excel, SPSS
2. Qualitative Data Analysis: Qualitative data are descriptive findings and concepts collected through questionnaires, interviews or observation. Analyzing qualitative data allows us to explore ideas and further explain quantitative results. Whereas quantitative data collection retrieves numerical data (what, where and when), qualitative data, often presented as a narrative, collects the stories and experiences of patients , individuals, and families (why, how) . Qualitative analysis is important because the rich details people share is so powerful in thinking through complex systems that it can explain how the implementation of our programs and policies works in real life and ultimately leads to change.
The programs used in the center to analyze this type of data are: HubSpot, Qualtrics, Square Feedback (free software), Connected Text (free software)
3. Meta Analysis: It is a type of quantitative statistical analysis It combines data and results from multiple studies to find common results and to identify general trends.
The programs used in the center to analyze this type of data are: Stata, R (free software), S Plus, MATLAB
- Email: firstname.lastname@example.org
- Phone: 6096