Ms. Khadija Fatima
Khadija Fatima, a distinguished academic in the field of Statistics, is currently serving as an Associate Lecturer in the Department of Statistics, University of Gujrat. She holds an MPhil in Statistics with a specialization in Sampling from the University of Gujrat, where she also earned a BS (Hons) degree as a gold medalist. With extensive teaching experience since 2014, she has mentored numerous undergraduate students in their research theses. Her research interests include Sampling, Applied Statistics, and Multivariate Data Analysis, with multiple publications in reputable journals. She has actively participated in international conferences and workshops, presenting research on statistical methodologies and their applications. In addition to her academic achievements, she has completed various professional certifications, including IBM Data Analyst. She has also contributed significantly to administrative roles, including serving on admission committees, organizing training workshops, and coordinating self-assessment reports. Her technical expertise includes proficiency in SPSS, Python, R, and other statistical software, making her a valuable asset in both academia and research.
Sampling, Applied Statistics, Official Statistics, Multivariate Data Analysis
- MPhil,University of Gujrat
- BS(Hons) ,University of Gujrat
- I.C. S,Gujranwala Board of Intermediate & Secondary Education
- Matric,Gujranwala Board of Intermediate & Secondary Education
- Gold Medalist BS(Hons) Statistics, University of Gujrat
- Awarded Laptop During MPhil Statistics, University of Gujrat
- Merit Scholarship BS(Hons) 2007 to 2011, University of Gujrat
| Student Name | Degree | Title | Status / Completed Year |
|---|---|---|---|
| Zarmeen Tahir | BS | THE EFFECT OF PERCEIVED SOCIAL SUPPORT RESILEANCE AND EMPATHY ON PSYCHOLOGICAL WELL-BEING OF FIRST YEAR UNIVERSITY STUDENTS The purpose of this study is to examine the relationship between psychological well-being, Perceived Social Support, Resilience and Empathy. The focus of this study is to predict about psychological well-being among university students. The data is collected from a sample of 400 students. The sample is selected using convince sampling. Questionnaire is used as a data instrument. The Questionnaire contain 12 items of Psychological well-being scale, 8 items perceived social support scale , 15 items Resilience scale and 5 items of Empathy scale. After data collection, reliability analysis is used to check the reliability of data. Descriptive analysis is used to find a summary of variables. Explanatory factor analysis is used to explore variables. Confirmatory factor analysis is used to find confirmed factors of variables. Spearman Correlation Analysis is applied to examine the correlation between Psychological well-being, perceived social support, resilience and empathy. Multiple linear regression is used to find the relationship between the dependent and the explanatory variables. We used a nonparametric test because the data is not normal, and the assumption of normality was not fulfilled. Non-Parametric test is used to find the prediction of variables with respect to categorical variables the Mann Whitney U- Test and Kruskal Wallis Test are used as a non- parametric test | 2024 |
| Wajeeha Mehmood | BS | IMPACT OF SOCIAL PHOBIA AND PARENTAL SUPPORT ON STUDENT’S LEARNING IN UNIVERSITY In this study, we have explored the effects of Social Phobia and Parental Support on students learning. The population consisted of all students studying in the Hafiz Hayat campus of the University of Gujrat. A sample of 447 respondents was selected by using convenience sampling. Data was collected by questionnaire. In the questionnaire, the social phobia scale is collected by three subscales (fear scale, avoidance scale, and psychological scale), the parental support scale is collected by two subscales (parental attention scale, parental guidance scale), and students learning scale collected by three subscales (deep approach, surface approach, and strategic approach). After data collection, reliability analysis is used to check the reliability of data. Descriptive analysis is used to find a summary of variables. Explanatory factor analysis is used to explore variables. Confirmatory factor analysis is used to find confirmed factors of variables. Spearman Correlation Analysis is applied to examine the correlation between the social phobia and students learning with the help of their parental support. We used a nonparametric test because the data is not normal, and the assumption of normality was not fulfilled. Non-Parametric test is used to find the MannWhitney Test and Kruskal Wallis. Multiple linear regression is used to find the relationship between the dependent and the explanatory variables. | 2024 |
| Isha Aftab | BS | ROLE OF CLOTHING BRANDS IN INFLUENCING CONSUMER PURCHASING DECISION: A CASE STUDY IN UNIVERSITY OF GUJRAT In the 21st century, people are more shifting towards brands and becoming brand conscious as they want to maintain their status and look unique from others. They also thought that brands are beneficial to use. Brands are somewhat fulfilling their desires and satisfying them to enhance their personality. The main factors of my study that influence consumer purchasing decision are brand quality, brand image, advertisement, sales promotions, service quality, store environment, brand loyalty and brand awareness. The main goal of this study is to check the effects of factors on consumer purchasing decisions. I have tried to select the all possible factors that influence and affect the consumer purchasing decision while purchasing branded cloths. 400 respondents fromthe University of Gujrat (Hafiz Hayat Campus) is selected. All the respondents are brand buyers and consider brands while purchasing clothes. Descriptive and inferential statistics both are used in this study. In the inferential study, factor analysis, confirmatory factor analysis, and structural equation modeling were used. The results showed that sales promotions, advertisement, and brand loyalty has played significant role on dependent variable consumer purchasing decision. And remaining factor does not play significant role on consumer purchasing decision. | 2023 |
| Umm e Laila | BS | FOOD DELIVERY SERVICES AND CUSTOMER SATISFACTION The study aims to examine the Food Delivery Services and Customer Satisfaction and classify factors connected with online food delivery services and customer satisfaction level such as source of online ordering, reasons for ordering, service provider, restaurant quality and customer satisfaction and loyalty. The collection of data was analyzed quantitatively. Multiple factors were inducing the resource selection of undergraduate students and those factors vary in different types of sources academic. The objective was to identify the customer’s satisfaction on online food delivery services. Therefore, it is necessary to find those factors which influence the satisfaction on food delivery services. The samples of 300 students were taken. A Chi-Square test for goodness and fitness technique was used to identify the customer’s satisfaction on food delivery services. Results which were observed from descriptive statistics, we identify the frequency of source of ordering and reasons of online ordering. In correlation, a strong relationship role plays between customer’s satisfaction and source of ordering. In Chi-square analysis results also show the customers are satisfied. Confirmatory Factor Analysis also confirms all the variables. | 2022 |
| Ishamal | M.Sc. | THE EFFECTS OF PARENTAL INVOLVEMENT AND FAMILY SOCIO-ECONOMIC STATUS ON ACADEMIC ACHIEVEMENT OF STUDENTS: A COMPARATIVE STUDY OF PUBLIC & PRIVATE SCHOOLS IN GUJRANWALA The motive of this study is to examine the effects of parental involvements and family socio-economic status on academic achievement of sciences and non-sciences students in Public Private Schools from the sample of 331 students belongs to different Public and Private schools of Gujranwala city. All the students fully responded by the Questionnaire. Target population was 9th and 10th classes of different public private Schools of Gujranwala city. Due to the COVID-19 pandemic, convenient sampling is used to collect data from schools. Descriptive statistics, Mann-Whitney U test and Neural Network techniques are used in this thesis. The purpose of this thesis is to estimate the effect of Parental expectation and family socioeconomic status on Academic Achievement of sciences and non-sciences students in Govt and Private Schools. In both Govt and Private schools, Parental expectations and family socioeconomic status plays a significant role in academic achievement of sciences and non-sciences students. This thesis claimed that majority of the students belongs to the urban area and almost equal students are participated from both 9th and 10th classes. Majority of students belongs to the non-sciences and about half of the students belongs to the Government schools. Mann-Whitney U Test was used to compare the two groups of schools (Public & Private). All the assumptions required for applying are Mann-Whitney U test are satisfied and shows that according to the two Dependent variables, Marks and Problem-solving achievement, there is a significant difference between both groups of schools (Public & Private). In Neural Network, three model are discussed. Overall Marks of students used as dependent variable and shows that parental expectation and family socio-economic status plays the most important role that was 100% and 90.1% respectively, in academic achievement of student. When problem-solving achievement of students used as dependent variable and shows that parental expectation and family socio-economic status plays important role but here, in this model basic concept and cognitive competence plays also important role in academic achievement of student. In the comparison of Govt and Private schools, Problem-solving achievement of students used as dependent variable and shows that in Govt institute family socio-economic status plays the most important role and then parental expectation plays important role in academic achievement of student and in privates, before Family SES and parental expectation, Basic concepts plays the important role in academic achievement of any student. | 2021 |
| Natasha Tariq | M.Sc. | PSYCHOSOCIAL FACTORS AT WORK AND DEPRESSIVE SYMPTOMS: A CROSS SECTIONAL STUDY OF TEACHERS Depression is a serious illness that may have a profound impact on the mental as well as physical health, along with the daily routine of a person. Many work-related factors can cause depression. The primary goal of this research is to check whether different workplace psychosocial aspects play a role in the development of depression in teachers. A total of 414 teachers in Lalamusa were surveyed, using convenient sampling, out of which 204 teachers were from government institutes and 210 teachers were from private institutes. A cross-sectional survey is conducted and data is collected within 31 days. There are 151 (36.5%) males and 263 (63.5%) females included in the sample. CES-D scale and COPSOQ III Scale are used to measure depression and psychosocial factors at work, respectively. Total of 40.6% teachers show major depression while 20.8% teachers suffer from mild depression. Quantitative demands, social support, social community, insecurity at work, job satisfaction, mental health were the psychosocial factors at work, considered in this study. Spearman’s Rank correlation resulted that quantitative demands, insecurity at work, and mental health are positively correlated with depression and can be a cause of depression in workers. Social support, social community, and job satisfaction are negatively correlated with depression. Ordinal Logistic Regression results that more quantitative demands, low social support and social community results in increase of depressive symptoms. Job insecurity and mental health showed a significant increase of 2.83 and 4.845 respectively, in depressive symptoms while low job satisfaction can cause 0.622 increase in depressive symptoms. It is concluded that all psychosocial factors at the workplace affect a worker’s mental health and can cause mild to major depression. Depressive symptom worsening is predicted by unfavorable psychosocial work situations. | 2021 |
| Faiza Batool | M.Sc. | CUSTOMER SATISFACTION TOWARDS ANDRIOD PHONES: A CASE STUDY OF UOG STUDUDENTS Consumer satisfaction is one of the key elements while choosing the smart phone brand. Smart phone have encompassed modern day life style. This paper includes in the choices of customers in choosing the smart phone depending upon some factors. The main objective of this thesis is to analyze the relationship between factors towards customer satisfaction and also check the significance of factors that affect the customer satisfaction. A sample of 300 respondents from the different department of the University of Gujrat is taken by using convenient sampling. Questionnaire method is used for collecting the data. Descriptive analysis and spearman correlation of nonparametric test are used in the paper. Confirmatory factor analysis and multiple regression analysis techniques are also used to check significant factor that affect the customer satisfaction. After analysis, we conclude that out of 300 respondents, 198 respondents are female and 102 respondents are male. It means that majority of the respondents are female that contributes 66% from total sample size. Out of 100%, 46% responses are from urban areas of Pakistan while 54% respondents are from rural areas of Pakistan. Most of the students are belonging to the age group of 21-25 that is 62.3%. The research concludes that Samsung mobile are highly popular mobile brand among the students of UOG. The study found that there is significant relationship between features of any mobile phone and level of customer satisfaction. The students focused on attractive features in order to buy any android phone. More effective the feature, higher will be purchase of that mobile. | 2021 |
| Faiza Kanwal | BS | COUNTRIES CLASSIFICATION ON THE BASIS OF POVERTY In this thesis the countries are classified on the basis of poverty and the significant indicators are determined the poverty. Economic growth is measured by the Gross Domestic Product per capita [Kaufmann, et al. (1999), Yasuhisa and Atsushi (2005), Fayissa and Nsiah (2010) and Turner (2011)]. The main objective of this study is to classify the countries on the basis of poverty and predict the GDP per capita of countries on the bases of population growth, health, education and environmental quality. Cluster Analysis, Self-Organizing Feature Map (SOM) and Neural Network model are applied for the data analysis purpose. | 2020 |
| SUNDAS SHAHZADI | BS | PREDICTION OF HYPERTENSION USING ITS RISK FACTORS: A CASE CONTROL STUDY IN DISTRICT GUJRAT Hypertension is becoming the major risk factors for the cardiovascular diseases. Hypertension also known as raised blood pressure in medical terms. According to World Health Organization report (2015) every one in four men and one in five women had high blood pressure.The objective is to explore the risk factors and to prediction for risks of hypertension for one individual. A case control study is conducted in Aziz Bhatti Shaheed Hospital Gujrat. Date is collected through well-designed questionnaire. Using purposive sampling sample of 300 individual’s age more than 20 years were selected. From the 300 individuals 150 were cases and 150 were control. For analysis purpose Binary Logistics Regression and Neural Network are used.Study results shows that high prevalence is observed in males (56.3%) as compared to females (43.7%). Descriptive statistics explores that hypertension is mostly associated with body mass index, family income, stress and constantly the risk of hypertension is increasing with age. Binary logistic regression results predicts chances for a normal individual being at risk of hypertension is 50% while experiencing the risk factors i.e. BMI, stress, lack of physical activity, monthly income and extra salt intake. While neural network predict high probability for individual being at risk of hypertension is 97.02%.Our generation is not well aware about risks factors and consequences of hypertension. Therefore, invention of different awareness and prevention strategies are designed by health professional and governments. | 2019 |
| Amir Ashraf | BS | OCCUPATIONAL HEALTH AND SAFETY ISSUES OF GARMENT FACTORY WORKERS In this study the researcher purpose is to check the health and safety of the workers in garment factories in the area of Sialkot. Also check the working environment of the workers and classify them using the other 5 factors in the study. A sample of 300 was selected using purposive sampling. Data was collected using a well-structured questionnaire. Questionnaire was consisted on two sections. Urdu format of questionnaire is used for the data collection. Descriptive statistics is used to find the number of workers feel hazard during the work. Neural network is used to classify the working environment of the garment factory workers. Results show that the most common hazards found in the workers are neck-pain, shoulder pain and headache. It shows that the workers of cutting section got injured more number of time than any other section. Results of neural network shows that the health, safety, management etc. have important impact in classifying the working environment and also in predicting the working environment. Type of work, number of time injured during the work, safety situations etc. are important factors in classification and prediction of the variable type of injury. Spearman correlation shows that there is association between the health issues and safety situations and also significant correlation exist between the management actions and working environment. | 2018 |
- 1. Academic & Policy Development 2023: Coordinated and prepared the Scheme of Study for ADP-Associate and Undergraduate BS Program under HEC 2023 policy. 2020: Assisted in the Scheme of Studies Preparation and Coordination for ADP in 2020. 2017: Assisted in Self-Assessment Report Preparation and Coordination in 2017.
- 2. Admission & Examination Coordination 2023: Served as Admission Coordinator during Fall-2023 admissions at the Department of Statistics, University of Gujrat. Supervised as Superintendent in Midterm and Final Term Examinations (Fall-2023) at the Department of Statistics, University of Gujrat. 2020: Served as Member of the Admission Committee for Fall-2020 at the University of Gujrat. 2019: Served as Superintendent in Midterm and Final Term Examinations (Spring-2019) at the Department of Statistics, University of Gujrat.
- 3. Faculty Training & Development 2020: Served as the Focal Person for faculty training on Interactive Content Development at the University of Gujrat (December 24, 2020 – January 25, 2021).
- 4. Event Management & Workshop Organization 2023: Member of the Discipline Committee in the 8th Convocation of the University of Gujrat. 2022: Served as Proctor in the 7th Convocation of the University of Gujrat. 2018: Served as Organizer for the “Three Days Hands-on Skills Workshop of SPSS” (February 6-8, 2018) at the Department of Statistics, University of Gujrat. 2017: Served as Proctor for the 5th Convocation of the University of Gujrat.
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1. Khadija Fatima, S. Shahzadi, A. Riaz, N. R. Chaudhry, R. Choudhary “Prediction of Hypertension Using Its Risk Factors: A Case Control Study In Aziz Bhatti Shaheed Hospital” Pakistan Journal of Science, March 2024 DOI:
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2. K. Sughra , S. Roshan , A. Fatima , A. Riaz , S. Shamas, S. Farman and Khadija Fatima, “AWARENESS ABOUT BREAST CANCER AMONG YOUTH OF GUJRAT- CITY OF PAKISTAN” Pakistan Journal of Science, December 2023 DOI:
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3. Shahzad, M.N., Suleman, M., Ahmed, M. A., Riaz, M. and Khadija Fatima “ Identifying the Symptom Severity in Obsessive-Compulsive Disorder for Classification and Prediction: An Artificial Neural Network Approach. ” Behavioural Neurology, June 2020 DOI:
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1. Ali Hassan, Mirza Naveed Shahzad, Khadija Fatima and Amna Riaz “Persistent Sign and Symptoms in Recovered Patients from COVID-19” 18th International Conference on Statistical Sciences, February 2021 _DOI:
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2. Khadija Fatima, Fiza Abbas and Amna Riaz “Contribution of the Social Relations on Student’s Self Esteem at Secondary Level: A study in Sialkot City ” Presented in 15th Islamic Countries Conference on Statistical Sciences (ICCS-15), December 2019 _DOI:
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3. Amna Riaz, Syeda Waiza Qasim, Khadija Fatima “Effects of Depression, Anxiety and Stress on Prevalence of Insomnia: A Statistical Study in city Gujrat” Presented in 15th Islamic Countries Conference on Statistical Sciences (ICCS-15), December 2019 _DOI:
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4. Khadija Fatima, Muhammad Suleman, Zahoor Ahmed, Abeeda Fatima, Amna Riaz. “Household Expenditures Pattern on Durable and Nondurable Goods and Services: A Comparison of Multiple Regression and Neural Network Model” Presented in 11th International Statistics Congress Bodrum, Mugla, Turkey, October 2019 _DOI:
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5. Khadija Fatima, Saleem, A. and Ahmad, Z. “ Predicting the Wages of Employees using Socio-Economic and Demographic Determinants: A Case of Pakistan” Published in Proc. 10th International Conference on Statistical Sciences Pakistan, March 2013 _DOI:
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6. Khadija Fatima and Ahmad, Z “Role of Socio-Economic and Demographic Factors in Deciding Internal Migration in Pakistan” Published in Proc. 9th International Conference on Statistical Sciences Pakistan, July 2012 _DOI:
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7. Khadija Fatima and Ahmad, Z “Determinants of Labour Participation: Evidence from Pakistan Labour Force Survey 2009-10 ” Published in Proc. 11th International Conference on Statistical Sciences Pakistan, December 2011 _DOI: