This document provides an overview of grounded theory as a qualitative research method. It describes grounded theory as a systematic approach used to generate theories about processes or interactions by inductively analyzing a corpus of data. The key aspects of grounded theory covered are that the goal is to develop a theory grounded in data from a natural setting; it involves concurrent data collection and analysis using techniques like theoretical sampling and constant comparison; and the researcher aims to minimize assumptions to allow a theory to emerge from the data.
By the end of this presentation you should be able to:
Describe what is qualitative research
Demonstrate the differences between Qualitative & Quantitative research
Understand the basic concepts of Qualitative studies:
Characteristics of qualitative research
Bias
Triangulation
Trustworthiness
This document provides an overview of case study research. It defines case study research as a qualitative approach that uses various data sources to conduct an in-depth analysis of a case or cases. It explores the aims, definition, design, data collection, and analysis aspects of case study research. Examples of case studies are also provided. The document concludes with a group activity asking readers to consider how a case study approach could be applied to their own research areas and what units of analysis and design they may use.
This document defines and compares quantitative and qualitative research approaches. It provides definitions of each, outlining that quantitative research uses numeric data and statistical analysis to objectively study narrow problems, while qualitative research relies on words and themes to understand participants' subjective views of broad issues. The development of both is discussed, including how quantitative research has emphasized statistical analysis, testing, and measurement, while qualitative research has focused on naturalistic inquiry, case studies, and advocacy. Key differences in how each approach collects and analyzes data and reports findings are also outlined. Finally, the document notes ways quantitative and qualitative research are similar and advises matching the approach to the problem and intended audience.
The document discusses validity and reliability in research. It defines reliability as the consistency of scores from one administration of an instrument to another, and validity as the appropriateness of inferences made from research findings. The document outlines different types of validity evidence including content, criterion, and construct validity. It also discusses threats to internal validity such as subject characteristics, loss of subjects, and location that could influence research outcomes. Methods for achieving validity and reliability are presented, including minimizing threats in experimental research designs.
This document provides an overview of grounded theory as a qualitative research method. It describes grounded theory as a systematic approach used to generate theories about processes or interactions by inductively analyzing a corpus of data. The key aspects of grounded theory covered are that the goal is to develop a theory grounded in data from a natural setting; it involves concurrent data collection and analysis using techniques like theoretical sampling and constant comparison; and the researcher aims to minimize assumptions to allow a theory to emerge from the data.
By the end of this presentation you should be able to:
Describe what is qualitative research
Demonstrate the differences between Qualitative & Quantitative research
Understand the basic concepts of Qualitative studies:
Characteristics of qualitative research
Bias
Triangulation
Trustworthiness
This document provides an overview of case study research. It defines case study research as a qualitative approach that uses various data sources to conduct an in-depth analysis of a case or cases. It explores the aims, definition, design, data collection, and analysis aspects of case study research. Examples of case studies are also provided. The document concludes with a group activity asking readers to consider how a case study approach could be applied to their own research areas and what units of analysis and design they may use.
This document defines and compares quantitative and qualitative research approaches. It provides definitions of each, outlining that quantitative research uses numeric data and statistical analysis to objectively study narrow problems, while qualitative research relies on words and themes to understand participants' subjective views of broad issues. The development of both is discussed, including how quantitative research has emphasized statistical analysis, testing, and measurement, while qualitative research has focused on naturalistic inquiry, case studies, and advocacy. Key differences in how each approach collects and analyzes data and reports findings are also outlined. Finally, the document notes ways quantitative and qualitative research are similar and advises matching the approach to the problem and intended audience.
The document discusses validity and reliability in research. It defines reliability as the consistency of scores from one administration of an instrument to another, and validity as the appropriateness of inferences made from research findings. The document outlines different types of validity evidence including content, criterion, and construct validity. It also discusses threats to internal validity such as subject characteristics, loss of subjects, and location that could influence research outcomes. Methods for achieving validity and reliability are presented, including minimizing threats in experimental research designs.
The document provides an overview of basic statistics and research methodology, focusing on study designs. It discusses observational studies like cross-sectional, case-control and cohort studies as well as experimental studies like clinical trials. For each study design, it describes the key elements including temporal sequence, intervention, sampling methods, and how they differ from one another. It emphasizes the importance of selecting the appropriate study design based on the research question and highlights factors to consider like ability to determine causation, study of rare diseases, costs and time involved.
There are several types of non-experimental research designs that are used to observe phenomena without manipulating variables. Descriptive designs aim to describe characteristics of a population through surveys, correlational studies examine relationships between variables, and developmental studies observe changes over time through longitudinal or retrospective/prospective approaches. While non-experimental designs cannot determine causation, they provide important exploratory information to help understand problems and guide future experimental research.
Data plays an important role in any research or study conducted. It aids in bringing about a breakthrough in the respective field as well as for future researches. The collection of data is carried out in two forms viz: Qualitative Data and Quantitative Data which includes further bifurcation under it.
What is Qualitative Data?
Qualitative research can be defined as the method of research which focuses on gaining relevant information through observational, open-ended and communication method. They are more exploratory which concentrates on gaining insights about the situation and dig a bit deeper to find the underlying reason. The central idea behind using this method is to find the answer to Why and How rather than How many. Data gathered during a qualitative research is what is termed as qualitative data.
What is the purpose?
A qualitative data is non-numerical and more textual which comprises mostly of images, written texts, recorded audios and spoken words by people. Moreover, one can conduct qualitative research online as well as offline too. Apart from this, the varied purpose of qualitative research is as follows:
- To examine the purpose or reason for the situation
- Gain an understanding of the experience of people
- Understanding of relations and meaning
- Varied norms including social and political as well as contextual and cultural practice which impact the cause.
Here are a few ways we could use content analysis to test that belief:
1. Select a random sample of news articles, TV shows, movies, etc. that portray poor people. Develop a coding scheme to categorize how the poor are portrayed - e.g. as lazy, criminal, dependent on welfare, hard-working but struggling, etc. Two researchers would code the same materials to check reliability.
2. Count the frequency of different portrayals to see which are most common. We could test if negative portrayals outnumber positive or neutral ones in a statistically significant way.
3. Code for socioeconomic or racial demographics of characters portrayed as poor. We could test if certain groups are disproportionately represented in
This document discusses and compares research paradigms and philosophical assumptions between positivism, interpretivism, and pragmatism. It also outlines the key differences between quantitative and qualitative research approaches. Quantitative research aims to generalize and test theories objectively through deductive strategies like experiments and surveys. Qualitative research generates theories inductively through subjective words-based methods like case studies, grounded theory, and ethnography to understand phenomena. Both approaches have distinct steps but share the goal of exploring research questions.
TSLB3143 Topic 1e Ethnography ResearchYee Bee Choo
Ethnography is a qualitative research method that involves observing and describing a culture-sharing group. The researcher spends extensive time with the group in their natural setting to understand their shared behaviors, beliefs, languages, and other cultural elements. There are different types of ethnography, including realist ethnography which provides an objective account of the group, and critical ethnography which aims to advocate for marginalized groups and address inequities. Key aspects of ethnography include identifying a cultural theme, studying a culture-sharing group over time, and analyzing their shared patterns through fieldwork using techniques like interviews and document collection.
A presentation, describes basics of Clinical Governance
What do we have in common
as Medical Doctors/Medical
Practitioners?
1. We are technical experts in our fields
2. We are leaders
3. We are managers
4. We are accountable for the patient care and health services
5. We are change agents
6. We are respected highly in the community
7. We are responsive
8. We are good communicators and negotiators
9. We are kind and empathic
10. We are decent and disciplined
Clinical Governance is a strategic framework for the development of high quality healthcare
"A framework through which organizations are accountable for continuously improving the quality of their services and safeguarding high standards of care by creating an environment in which excellence in clinical care will flourish" – NHS, UK
“clinical governance is a way of making sure that everyone who passes through health system is well cared for”
or
System that enable staff to work in the best possible way
+
Staff performing to the highest possible standards
Seven pillars of Clinical Governance
Patient and public involvement (PPI)
Risk management
Staffing and staff management
Education and training
Clinical effectiveness & Research
Using clinical information & IT
Clinical audit
Patient and public involvement
Ensuring services meet the need of the patients
Patient and public feedback is used to improve services
Patients and the public are involved in the development of services and the monitoring of treatment outcomes
Risk management
Complying with protocols
Learning from mistakes and near-misses
Reporting adverse events
Assessing the risks – probability of occurrence, impact
Promoting blame free culture
Staffing and staff management
Appropriate recruitment and management of staff
Ensuring that underperformance is identified and addressed
Encouraging staff retention by motivating and developing staff
Providing good working conditions
Education and Training
Providing appropriate support available to enable staff to be competent in doing their jobs and to develop their skills so that they are up to date
Professional development needs to continue through lifelong learning
Clinical effectiveness & Research
Clinical effectiveness implies ensuring that everything we do is designed to provide the best outcomes for patients
Clinical audit
Clinical audit is a quality improvement cycle that involves measurement of the effectiveness of healthcare against agreed and proven standards for high quality, and taking action to bring practice in line with these standards so as to improve the quality of care and health outcomes
Clinical audit is a systematic process of looking at your practice and asking:
What should we be doing?
Are we doing it?
If not, how can we improve?
This document discusses and compares qualitative and quantitative research methods. It notes that while qualitative and quantitative data can both be measured and coded, the key difference is that qualitative research is exploratory and inductive while quantitative research is confirmatory and deductive. Some common qualitative methods discussed include grounded theory, ethnography, phenomenology, and field research. Strengths of qualitative research include a focus on detail and perspective, while weaknesses include reduced objectivity, reliability and generalizability compared to quantitative methods. The document encourages researchers to consider their research goals and constraints when choosing between qualitative and quantitative approaches.
Randomized controlled trials (RCTs) are considered the gold standard for clinical research. An RCT involves randomly assigning participants into experimental and control groups to receive different interventions. Randomization aims to make the groups comparable to limit bias. It reduces the influence of unknown factors and ensures the only difference between groups is the intervention being tested. RCTs can be single blind, double blind, or triple blind depending on who is aware of group assignments. They provide the most powerful and least biased assessments of clinical interventions.
The document provides an overview of key concepts in research methodology, including:
- The benefits of research to students and practitioners for designing studies, understanding literature, and participating in evaluations.
- Definitions of key terms like method, methodology, and the differences between them.
- The characteristics of high-quality research like having a clearly defined scope and reproducible design.
- The typical steps in the research process from identifying a problem to interpreting data and revising hypotheses.
The document discusses validity and reliability in research. It defines validity as measuring what the research intends to measure and having truthful results. There are three types of validity: content, construct, and criterion-related. Reliability refers to consistency of results over time and accurately representing the population. It can be measured through test-retest, alternative forms, and split-half methods. Validity and reliability are both important but distinct concepts for assessing quality of research.
This document discusses several ethical issues to consider when conducting research and collecting data. It addresses stakeholders in research like participants, researchers, and funding bodies. Key ethical issues discussed include obtaining informed consent from participants, avoiding harm, maintaining confidentiality, and avoiding bias. The document also covers ethical concerns relating to the research methodology, reporting of findings, and potential misuse of information by sponsoring organizations. Finally, it outlines ethical considerations for using secondary data like avoiding plagiarism and maintaining the original context and anonymity of data sources.
This document discusses qualitative research methods, specifically observation. It defines qualitative research as relying on narrative descriptions to capture social phenomena's complexity. Observation involves directly recording sample behaviors rather than communicating with people. Types of observation include participant/non-participant, direct/indirect, structured/unstructured. Observation advantages include collecting natural data and disadvantages include bias and the observer's paradox. Observational checklists record behaviors through rating scales and coding to analyze participants systematically.
مناهج البحث العلمي - اللقاء الافتراضي الاول
مراجعة الوحدات الأربعة الأولى
ومناقشة عينة من أسئلة السنوات السابقة لمادة النصفي
اعداد: د.حسني عوض
كلية التربية
جامعة القدس المفتوحة
1- defining scientific research ( Dr. Abdullah Al-Beraidi - Dr. Ibrahim Altho...Rasha
محاضرة للدكتور إبراهيم الثنيان - الدكتور عبدالله البريدي و دكتور رمزي .. محاضرة عن البحث النوعي
( Dr. Abdullah Al-Beraidi - Dr. Ibrahim Althonayan - Dr.Ramzi)
The document provides an overview of basic statistics and research methodology, focusing on study designs. It discusses observational studies like cross-sectional, case-control and cohort studies as well as experimental studies like clinical trials. For each study design, it describes the key elements including temporal sequence, intervention, sampling methods, and how they differ from one another. It emphasizes the importance of selecting the appropriate study design based on the research question and highlights factors to consider like ability to determine causation, study of rare diseases, costs and time involved.
There are several types of non-experimental research designs that are used to observe phenomena without manipulating variables. Descriptive designs aim to describe characteristics of a population through surveys, correlational studies examine relationships between variables, and developmental studies observe changes over time through longitudinal or retrospective/prospective approaches. While non-experimental designs cannot determine causation, they provide important exploratory information to help understand problems and guide future experimental research.
Data plays an important role in any research or study conducted. It aids in bringing about a breakthrough in the respective field as well as for future researches. The collection of data is carried out in two forms viz: Qualitative Data and Quantitative Data which includes further bifurcation under it.
What is Qualitative Data?
Qualitative research can be defined as the method of research which focuses on gaining relevant information through observational, open-ended and communication method. They are more exploratory which concentrates on gaining insights about the situation and dig a bit deeper to find the underlying reason. The central idea behind using this method is to find the answer to Why and How rather than How many. Data gathered during a qualitative research is what is termed as qualitative data.
What is the purpose?
A qualitative data is non-numerical and more textual which comprises mostly of images, written texts, recorded audios and spoken words by people. Moreover, one can conduct qualitative research online as well as offline too. Apart from this, the varied purpose of qualitative research is as follows:
- To examine the purpose or reason for the situation
- Gain an understanding of the experience of people
- Understanding of relations and meaning
- Varied norms including social and political as well as contextual and cultural practice which impact the cause.
Here are a few ways we could use content analysis to test that belief:
1. Select a random sample of news articles, TV shows, movies, etc. that portray poor people. Develop a coding scheme to categorize how the poor are portrayed - e.g. as lazy, criminal, dependent on welfare, hard-working but struggling, etc. Two researchers would code the same materials to check reliability.
2. Count the frequency of different portrayals to see which are most common. We could test if negative portrayals outnumber positive or neutral ones in a statistically significant way.
3. Code for socioeconomic or racial demographics of characters portrayed as poor. We could test if certain groups are disproportionately represented in
This document discusses and compares research paradigms and philosophical assumptions between positivism, interpretivism, and pragmatism. It also outlines the key differences between quantitative and qualitative research approaches. Quantitative research aims to generalize and test theories objectively through deductive strategies like experiments and surveys. Qualitative research generates theories inductively through subjective words-based methods like case studies, grounded theory, and ethnography to understand phenomena. Both approaches have distinct steps but share the goal of exploring research questions.
TSLB3143 Topic 1e Ethnography ResearchYee Bee Choo
Ethnography is a qualitative research method that involves observing and describing a culture-sharing group. The researcher spends extensive time with the group in their natural setting to understand their shared behaviors, beliefs, languages, and other cultural elements. There are different types of ethnography, including realist ethnography which provides an objective account of the group, and critical ethnography which aims to advocate for marginalized groups and address inequities. Key aspects of ethnography include identifying a cultural theme, studying a culture-sharing group over time, and analyzing their shared patterns through fieldwork using techniques like interviews and document collection.
A presentation, describes basics of Clinical Governance
What do we have in common
as Medical Doctors/Medical
Practitioners?
1. We are technical experts in our fields
2. We are leaders
3. We are managers
4. We are accountable for the patient care and health services
5. We are change agents
6. We are respected highly in the community
7. We are responsive
8. We are good communicators and negotiators
9. We are kind and empathic
10. We are decent and disciplined
Clinical Governance is a strategic framework for the development of high quality healthcare
"A framework through which organizations are accountable for continuously improving the quality of their services and safeguarding high standards of care by creating an environment in which excellence in clinical care will flourish" – NHS, UK
“clinical governance is a way of making sure that everyone who passes through health system is well cared for”
or
System that enable staff to work in the best possible way
+
Staff performing to the highest possible standards
Seven pillars of Clinical Governance
Patient and public involvement (PPI)
Risk management
Staffing and staff management
Education and training
Clinical effectiveness & Research
Using clinical information & IT
Clinical audit
Patient and public involvement
Ensuring services meet the need of the patients
Patient and public feedback is used to improve services
Patients and the public are involved in the development of services and the monitoring of treatment outcomes
Risk management
Complying with protocols
Learning from mistakes and near-misses
Reporting adverse events
Assessing the risks – probability of occurrence, impact
Promoting blame free culture
Staffing and staff management
Appropriate recruitment and management of staff
Ensuring that underperformance is identified and addressed
Encouraging staff retention by motivating and developing staff
Providing good working conditions
Education and Training
Providing appropriate support available to enable staff to be competent in doing their jobs and to develop their skills so that they are up to date
Professional development needs to continue through lifelong learning
Clinical effectiveness & Research
Clinical effectiveness implies ensuring that everything we do is designed to provide the best outcomes for patients
Clinical audit
Clinical audit is a quality improvement cycle that involves measurement of the effectiveness of healthcare against agreed and proven standards for high quality, and taking action to bring practice in line with these standards so as to improve the quality of care and health outcomes
Clinical audit is a systematic process of looking at your practice and asking:
What should we be doing?
Are we doing it?
If not, how can we improve?
This document discusses and compares qualitative and quantitative research methods. It notes that while qualitative and quantitative data can both be measured and coded, the key difference is that qualitative research is exploratory and inductive while quantitative research is confirmatory and deductive. Some common qualitative methods discussed include grounded theory, ethnography, phenomenology, and field research. Strengths of qualitative research include a focus on detail and perspective, while weaknesses include reduced objectivity, reliability and generalizability compared to quantitative methods. The document encourages researchers to consider their research goals and constraints when choosing between qualitative and quantitative approaches.
Randomized controlled trials (RCTs) are considered the gold standard for clinical research. An RCT involves randomly assigning participants into experimental and control groups to receive different interventions. Randomization aims to make the groups comparable to limit bias. It reduces the influence of unknown factors and ensures the only difference between groups is the intervention being tested. RCTs can be single blind, double blind, or triple blind depending on who is aware of group assignments. They provide the most powerful and least biased assessments of clinical interventions.
The document provides an overview of key concepts in research methodology, including:
- The benefits of research to students and practitioners for designing studies, understanding literature, and participating in evaluations.
- Definitions of key terms like method, methodology, and the differences between them.
- The characteristics of high-quality research like having a clearly defined scope and reproducible design.
- The typical steps in the research process from identifying a problem to interpreting data and revising hypotheses.
The document discusses validity and reliability in research. It defines validity as measuring what the research intends to measure and having truthful results. There are three types of validity: content, construct, and criterion-related. Reliability refers to consistency of results over time and accurately representing the population. It can be measured through test-retest, alternative forms, and split-half methods. Validity and reliability are both important but distinct concepts for assessing quality of research.
This document discusses several ethical issues to consider when conducting research and collecting data. It addresses stakeholders in research like participants, researchers, and funding bodies. Key ethical issues discussed include obtaining informed consent from participants, avoiding harm, maintaining confidentiality, and avoiding bias. The document also covers ethical concerns relating to the research methodology, reporting of findings, and potential misuse of information by sponsoring organizations. Finally, it outlines ethical considerations for using secondary data like avoiding plagiarism and maintaining the original context and anonymity of data sources.
This document discusses qualitative research methods, specifically observation. It defines qualitative research as relying on narrative descriptions to capture social phenomena's complexity. Observation involves directly recording sample behaviors rather than communicating with people. Types of observation include participant/non-participant, direct/indirect, structured/unstructured. Observation advantages include collecting natural data and disadvantages include bias and the observer's paradox. Observational checklists record behaviors through rating scales and coding to analyze participants systematically.
مناهج البحث العلمي - اللقاء الافتراضي الاول
مراجعة الوحدات الأربعة الأولى
ومناقشة عينة من أسئلة السنوات السابقة لمادة النصفي
اعداد: د.حسني عوض
كلية التربية
جامعة القدس المفتوحة
1- defining scientific research ( Dr. Abdullah Al-Beraidi - Dr. Ibrahim Altho...Rasha
محاضرة للدكتور إبراهيم الثنيان - الدكتور عبدالله البريدي و دكتور رمزي .. محاضرة عن البحث النوعي
( Dr. Abdullah Al-Beraidi - Dr. Ibrahim Althonayan - Dr.Ramzi)
Human resources management chapter 13 .. Translated to Arabic by Rasha Alahmad Rasha
Human Resource Management, Robert Mathis and John Jackson, Thomson, 2006
Chapter 13 :Variable pay and executive compensation
Translated to Arabic by Rasha Alahmad
إدارة الموارد البشرية
الفصل الثالث عشر
ترجمة : رشا محمد الأحمد – السعودية - القصيم
11 - qualitative research data analysis ( Dr. Abdullah Al-Beraidi - Dr. Ibrah...Rasha
The document describes a dataset collected from students in a writing class. As an assignment, students were asked to describe in detail how they write, without consulting others. This generated a set of 10 individual narratives for analysis. Permission was obtained to use the anonymized data for teaching purposes. The total qualitative data available comprises 10 files, each containing a short student-authored narrative on the writing process.
9 - explaining tools build up in qualitative research ( Dr. Abdullah Al-Berai...Rasha
The document discusses various qualitative research methods and techniques. It provides a taxonomy of qualitative methods categorized by level of analysis, including individual, group, and organizational. It also discusses different qualitative research strategies like case studies, stakeholder analysis, and hermeneutics. The document outlines general steps in qualitative research and principles of case study research, including using multiple sources of evidence, creating a study database, and maintaining a chain of evidence.
This document discusses several issues related to population growth and its impacts, including overpopulation, resource scarcity, unemployment, and conflict over limited resources. It raises questions about building human capital, measuring human quality, and the potential for increased crime rates, space colonization, and shortages of building materials. It also links population changes to how resources are allocated and notes that overpopulation could potentially lead to wars over land and materials.
Quality In Private Schools [ Rasha M. Ahmad ]Rasha
الملخص
هدفت هذه الدراسة إلى معرفة مستوى جودة مخرجات التعليم الأهلي الأساسي السعودي للمرحلة الثانوية مقارنة مع جودة مخرجات التعليم الحكومي الأساسي. وحيث أن أداء الطالبة خلال المرحلة الجامعة يعتبر انعكاسا لجودة التعليم ما قبل الجامعي. تم الاعتماد على المعدل التراكمي الجامعي و معدل المرحلة الثانوية كمتغيرين أساسيين لهذه الدراسة . وتم الاعتماد على الأسلوب التجريبي من خلال اختيار عينتين, خمسين طالبة من مخرجات التعليم الأهلي الأساسي وخمسين طالبة من مخرجات التعليم الحكومي. ومن أجل رفع مستوى صحة اختبارات هذه الدراسة تم استخدام nested design فتم تقسيم عينة التعليم الأهلي إلى ثلاث فئات , فئة الطالبات الحاصلات على 85% وأعلى في الثانوية وفئة الحاصلات على 90% وأعلى وفئة الحاصلات على 95% , ثم تم سحب خمسين طالبة من خريجات التعليم الحكومي الأساسي لهن نفس خصائص الثلاث فئات. وقد كان أسلوب الدراسة من خلال اختبار قبل وبعد لكل عينة ولكل فئة (معدل المرحلة الثانوي مقارنة مع الأداء الجامعي) "within" واختبار المقارنة بين فئات العينتين وبين العينتين بشكل كلي ""between .وكان الأسلوب الإحصائي المستخدم الفرق بين متوسطين. وكانت أهم النتائج : هناك فروق ذات دلالة إحصائية بين أداء الطالبة في المرحلة الثانوية والمرحلة الجامعية. وهذه النتيجة تنطبق على التعليم الأهلي والحكومي, وفي المقارنة بين أداء الطالبات في المرحلة الجامعية ليس هناك فروق ذات دلالة إحصائية بين الطالبات المتخرجات من التعليم الأهلي والطالبات المتخرجات من التعليم الحكومي. وكان أهم توصيات هذه الدراسة: على قطاع التعليم الأهلي أن يضع الجودة في سلم أولوياته,وأن يضع لها الأهداف ويرسم لها الاستراتيجيات ويضع المؤشرات اللازمة لتأكد من أنه بالفعل حقق الدور المنوط به وهو تقديم مخرجات متميزة . كما أن على الوزارة أن تراقب الجودة في المنشآت التعليمية وبشكل مستمر وأن تربط ما تقدمه من إعانات بمدى تحقق الجودة في تلك المنشآت.
This study has aimed at knowing the quality level of the graduates of the Saudi Private Basic Education for the secondary stage compared with the graduates of the Governmental Basic Education . As the performance of the student during the university stage is a measure for the quality of the pre-university education, it has been based upon the university accumulative rate and the secondary stage rate as tow basic variables in this study. The experimental method has been followed through selecting two samples, fifty female students from the graduates of the private basic education and fifty female students from the graduates of the Governmental one. In addition to raise the accuracy level of this study tests, the nested design has been used. The sample of the private education has been divided into three groups; the group of the students who have obtained more than 85%, the group of more 90%, and the group of more than 95%, then fifty female students, who have the same ch