Ph.D Programme 2023

SPSS is of paramount importance and relevance for researchers all over the world. It offers a huge range of features that make it relevant for researchers like data management, statistical analysis, graphical representation and data visualisation and it has a user friendly interface which allows researchers to perform complex statistical analyses without extensive programming skills. Beyond research, SPSS finds utility in various practical applications accross different sectors like business and marketing, healthcare and medical, nonprofit organizations retail and consumer behaviour etc. In Psychology, SPSS is highly relevant in clinical psychology research as it helps in analysing data that informs diagnosis, treatment, to track client outcomes over time, group comparisons and overall understanding of psychological disorders. - Nidhi Chandra, Dept. of Psychology

NISHANT CHATURVEDI (Enrolment number-23304703): Prof. Habib from the University of Basrah expressed that "In quantitative scientific research, we need to present data in meaningful manner to come out with reasonable conclusions. Small sized data ,may be handled manually or using pocket calculator. If large set of data exists, then a statistical package is required. SPSS is one of these packages. When the data are correctly fed on SPSS, it can be a useful data base. SPSS is very helpful in data checking, in simple tabular presentation and in complex statistical analysis. A researcher handling numerical data and postgraduate candidates need to have and to know how to use SPSS or other packages."

TODAY'S DISCUSSION WAS VERY HEALTHY AND INSIGHTFUL. MOREOVER, WE WERE DELIGHTED TO INTERACT WITH EACH OTHER ON THIS SACROSANCT ACADEMIC PLATFORM OFFERED TO US BY OUR ESTEEMED UTTARAKHAND OPEN UNIVERSITY AND IT'S ARDENT TEAM MEMBERS!

Now, I would like submit my words pertaining to the assignment question given by our mentor Dr. Manjari Agarwal madam.

Taking example from my domain, i.e, Human Resources, SPSS makes a researcher's work very simple. Initially, one may experience a bit of challenge in terms of data entry as one needs to be very careful. I take a study - 'A study on the impact of financial rewards on employees' performance.'

Here, I may form certain objectives and based on that my methodology will be devised. This will be followed by Hypotheses formation.
We will adopt a scale and TEST ITS RELIABILITY. Once it is sufficient then we will administer the questionnaire among respondents belonging to our identified population, comprising of their demographics and items based on the adapted scale. Once we get the acceptable data, we will subject the data to several required tests like, error identification and removal, probability testing, establishing correlation and regression; ANOVA etc. as per the requirement.

Conclusively, we should be aware of which type of data we are adding and we may need some data cleaning in cases of outliers; once the tests have been successfully administered; the output received has to be cautiously and elaboratively interpreted to generate results that commensurate the hypothesis that may be proved or rejected in consideration of our pre-set research objectives. Additionally, SPSS is beneficial in corporate sector as well.

SPSS is a useful software program that is basically used by the social science researcher to explore critical data by some simple methods. The task of data analyzation is a very complicated and time-consuming process, but with the help of SPSS it can be easily handled and operated by using various technical method. These
technical methods are utilised for the easy analyzation and transformation of data which are very helpful for the researcher to explain the features of different variables.
Hence, the output result can be formulated through the representation of graphs and diagrams so that a user can easily understand the outcome of it. In the present day context various computer
softwares have been able to play a crucial role in the field of social science research. In today’s world, it has turn out to be an obligatory means of research.


Use of SPSS in Public Administration discipline:- Public Administration is a dynamic discipline. Generally, mixed methods are used to collect the deta for existing problems. With the help of SPSS, a researcher or organisation arrange data in a systematic manner. It is useful to make clear understanding on research outcomes. By which one can conclude his or her result.



Jeewan Chandra Pargai
Enrollment- 19162741
Department of Public Administration

SPSS Statistics is an imperative software package that is specifically designed for logical, batched, and non-batched statistical analysis This software program is valued by many for handling and analyzing complex data. It can perform highly complex data manipulation and analysis with simple instructions. SPSS is capable of importing data from different file formats and presenting tables, charts, descriptive stats, as well as conduct complex statistical analyses.
SPSS is highly advantageous for both qualitative and quantitative data analysis. It's crucial to note that while 85% of research scholars tend to analyze quantitative data, SPSS is equally beneficial for qualitative data analysis. SPSS is undoubtedly the superior choice for analyzing quantitative data compared to any other software available. SPSS is an essential tool for any data analyst, as it effortlessly handles even the most extensive data sets. Those who want to simplify their analytical process will appreciate the software's user-friendly interface.
For research scholars struggling with software analysis despite their proficiency in core papers, SPSS software is the ideal solution. Not only does it provide accurate results, but it also offers clear graphical representations of entered data SPSS simplifies statistical analysis with a user-friendly interface for basic and advanced techniques. This software is easily adaptable for research scholars to analyze data and obtain results.

Bhawana
Dep- Environmental Sciences
Enrollment no-23304550

Answer:

SPSS (Statistical Package for the Social Sciences) has a long history and is used in different academic disciplines including finance. SPSS Provides a wide range of statistical procedures and tests making it suitable for conducting descriptive statistics, Regression analysis, Hypotheses, and more.

The importance of SPSS in the domain of finance is briefly mentioned below:

Flexibility: SPSS allows users to create customized functions and packages making it a flexible tool for data handling.

SPSS is known for its user-friendly interface, making it accessible to individuals with limited programming experience.

The statistical analysis tool makes it possible to import and export data files from other programs. It offers reliable and fast answers. It's dynamic and has useful tables and graphs. SPSS users can select the graph type which matches their data distribution requirement and is categorized as one of the easiest tools to analyze data-

SPSS (Statistical Package for the Social Sciences) holds significant importance and relevance in the field of finance, offering researchers a powerful toolkit for data analysis, modeling, and risk assessment. The software's capabilities are especially valuable in finance, where accurate data interpretation and informed decision-making are crucial.

SPSS provides the means to analyze historical market data and model various risk scenarios. By inputting financial data into SPSS, researchers can apply statistical techniques to identify trends, correlations, and patterns. For example, they can analyze how specific economic indicators, such as inflation rates or GDP growth, correlate with stock market performance. This helps in understanding the relationships between variables and how they impact financial markets.

SPSS is essential for finance researchers in various other ways. It supports the analysis of large datasets, allowing researchers to handle vast amounts of financial information efficiently. This is particularly important in today's data-driven financial industry, where timely and accurate analysis can give a competitive edge.

In conclusion, SPSS is a cornerstone tool for finance researchers, providing them with the means to analyze financial data, model risk scenarios, and make informed decisions.


NAME: KUMKUM PANDEY
ENROLLMENT NO: 19164088
DEPARTMERNT OF MANAGEMENT

SPSS is the software most widely used for statistical data analysis.It easily performs descriptive statistics, parametrics and non parametrics analysis. Two dimensional statistics, including techniques such as analysis of variance,means, correlation tests. SPSs is mainly used in healthcare, research companies, education researchers and many more.SPSS provides user with deep statistical capabilities to analyse accurate results .In addition to it, the output can be obtained through graphical representation so that a user can easily understand the result.
Kalpana Tamta
Education

For research scholar SPSS statistics software has came with lots of important for their research work as they can easily analyses there data just by entering their data in the SPSS software. It gives graphical representation and appropriate result for the data that has been entered. it can be used for generate tabulation reports, charts, plots different types of graphs and conduct complex statistical analyses. It is beneficial for both qualitative and quantitative data analyses. scholar can gets results for multiple dimensions. so that they can generalized their findings. so with the help of SPSS researcher can improvise. SPSS can used in various fields like education, marketing, management etc. - Bharti Prakash, Dept. of Education.

Answer:

SPSS stands for statistical product and service solution ,it is a software package used for the analysis of statistical data. Although the name of SPSS reflects its original use in the field of social sciences.
It is the one of the most important and useful software for researchers that can perform highly complex data manipulation and analysis with simple instructions .there are many features of SPSS - 1) it includes a full range of data , management system and editing tools.
2) it is easy to learn and use.
3) it provides in depth statistical capabilities.
4) it is not only help us analyse data but help us understand data more.


In history,
SPSS provides an organized way to manage large and complex data sets and perform advanced statistical analysis, In monitoring and evaluation, it can be used in history area for survey and various purposes, including data management, data analysis, and data visualization.

Name : Reema
Enrollment no. 23304328
Department of History

SPSS सामाजिक विज्ञान के लिए सांख्यकीय पैकेज एक शक्तिशाली सांख्यकीय सॉफ्टवेयर है जिसका उपयोग सामाजिक विज्ञान, शिक्षा, स्वास्थ्य कई अन्य विषयों में अनुशंधान और डेटा विश्लेषण के लिए व्यापक रूप से किया जाता हैं।SPSS सांख्यकीय की एक विस्तृत श्रृंखला प्रदान करता है, जिसमे वर्णात्मक सांख्यकीय पेरामीट्रिक और गैर पेरामीट्रिक परीक्षण, प्रतिगमन, सहसंबंध और कारक विश्लेषण शामिल है।यह शोधकर्ताओं को जटिल विश्लेषण करने और अपने डेटा से सार्थक अंतर्दृष्टि निकालने की अनुमति देता है।

SPSS डाटा मैनेजमेंट के लिए बहुत उपयोगी हैं इससे हम एक प्लेटफार्म में आसानी से काम कर सकते है SPSS मजबूत डेटा प्रबंधन क्षमताए प्रदान करता है जो उपयोग कर्ता को बड़े डेटासेट को संभालने, डेटा को साफ करने और बदलने और विश्लेषण के लिए नए चर बनाने की अनुमति देता है यह डेटा तैयार करने की प्रक्रिया को सुव्यवस्थित करता है और सुनिश्चित करता है कि डेटा विश्लेषण के लिए सही प्रारूप है।

अनुसंधान और डेटा विश्लेषण के लिए SPSS का उपयोग जटिल सांख्यकीय कार्यों को सरल बनाने और सटीक विश्वसनीय परिणाम देने में अत्यधिक फायदेमंद रहा है

SPSS का उपयोग संस्कृत विभाग मानविकी विद्याशाखा में कुछ विषयों में इसका उपयोग किया जाता हैं जहां पर मात्रात्मक उपयोग हो वहां पर किया जा सकता है।

उमा आर्या
नामांकन संख्या -17109752
विभाग - संस्कृत

RAVI KHARKA - 19162254 - SOCIAL WORK;
SPSS (Statistical Package for the Social Sciences) as the name suggests, is the most commonly used analytical program widely used by the researcher for the data analysis, besides some other available tools like MSExcel, Python, R, Tableau, MySQL, SAS, Jupyter Notebook, MSAccess etc, one of the most commonly used programs by researchers for data analysis. Its past version was Statistical Package for Social Sciences (SAS), and current version is STATA.

As we all PhD scholar must be apt to Research which is the most core component of the doctoral degree, the statistical analysis plays a pivotal role in all the aspects of Research, for example; it is used to test research hypotheses and to determine which variables have an influence on output and outcome measures, as it is important for the researcher to not only collect the data but also analyze and interpret data to draw conclusions for any decision making process or depicting conclusions from the data as findings.

It has a great relevance and importance in the professional lives of a scholar as researcher, when it comes to ease, sensitivity, correctness and speed of the conclusions through in-depth analytical interpretations of the quantitative and qualitative data fed into the system. Data Analysis is crucial for any research paper to put across finding and conclusions effectively and efficiently, and for data handling, shoring, analyzing in a systematic way SPSS provides platform, an helps developing effective report.

The prime role of SPSS is to investigate logical information which can be used utilized for statistical surveying, overviews, information mining, and so forth. Thus for any kind of research SPSS can be an extremely useful and relevant tool, for not only data analysis but also data management, regression analysis.

Its usage in both qualitative and quantitative data management and analysis makes it very conducive for Social Research, as the name suggests. I have worked in several countries and have been doing considerable number of Rapid Need Assessments (RNA), Trainings Need Assessments (TNAs), PDAs (Post Distribution Assessments) and Knowledge Aptitude and Practice (KAPs) Studies, with the communities (including in emergency situations), wherein we were using Excel and SPSS quite frequently to get analytics to draw various conclusions and findings to use in further strategic programme planning and decision making processes. We found it very reliable and relevant in Social Researches.

SPSS (Statistical Package for the Social Sciences) has played a vital role in the realm of research, particularly for its importance and relevance in aiding researchers to analyze and interpret complex data. Its versatile capabilities have made it an indispensable tool in various fields, enabling researchers to gain valuable insights and draw meaningful conclusions from their data. One specific context where SPSS has proven to be of great significance is in the field of History research.

In historical research, the utilization of SPSS can greatly enhance the depth of analysis and understanding of various historical phenomena. Researchers often work with large datasets containing information from different time periods, such as census data, records of economic activities, or demographic information. These datasets can be incredibly intricate, comprising numerous variables and data points that require careful examination.

For example; Let us suppose a historian aims to investigate the impact of industrialization on population migration during the 19th century. By utilizing SPSS, the researcher can efficiently manage and analyze extensive datasets containing migration patterns, economic indicators, and other relevant factors.


ASHUGEET MUKUL
En. No. - 23304535
HISTORY

SPSS (Statistical Package for the Social Sciences) holds significant importance for researchers as a powerful tool for data analysis and interpretation. In the field of education, it plays a crucial role in conducting research on factors affecting student performance.

For example, a researcher investigating the relationship between study habits and academic success could utilize SPSS to analyze survey responses from students. By running correlation analyses and regression models in SPSS, the researcher can determine whether specific study habits, such as time management or note-taking techniques, have a statistically significant impact on students' grades. This insight can guide educators and students towards more effective learning strategies, ultimately leading to improved educational outcomes.

In essence, SPSS empowers researchers in education to unravel complex relationships within data, providing valuable insights that drive evidence-based educational practices and enhance student achievement.
Name : Sunil Manohar Pant
Enrollment no. 15073459
Department of Education

SPSS which stands for Statistical Package for the Social Sciences, plays an important role in the world of research, particularly within the realm of Education. Its importance and relevance are underscored by its capabilities to facilitate data analysis, statistical exploration, and hypothesis testing.
In the context of Education, researchers often grapple with complex questions and seek to gain insights into various aspects of the learning process, teaching methodologies, and student outcomes. SPSS becomes an invaluable tool in this pursuit due to the following reasons:

1. Data Management:Education researchers deal with diverse datasets, ranging from student demographics and academic performance to classroom dynamics and teaching strategies. SPSS provides a user-friendly platform for data entry, organization, and cleaning, ensuring that researchers work with accurate and reliable information.

2. Descriptive Analysis: SPSS empowers researchers to perform descriptive analysis, enabling them to summarize and visualize educational data. For instance, they can generate frequency distributions, measures of central tendency, and graphical representations of student test scores, helping to identify trends and patterns.

3. Hypothesis Testing:Education research often involves formulating and testing hypotheses. SPSS offers an array of statistical tests, including t-tests, ANOVA, chi-square tests, and regression analysis. Researchers can use these tests to assess the impact of interventions, teaching methods, or other variables on student outcomes.

4. Correlation and Regression:Understanding relationships between variables is essential in education research. SPSS allows researchers to explore correlations between factors like socioeconomic background and academic achievement. Additionally, regression analysis can help predict student performance based on various influencing factors.

5. Survey Analysis:Many educational studies rely on survey data to gather insights from teachers, students, or parents. SPSS facilitates the analysis of survey responses, enabling researchers to extract meaningful information and draw conclusions about attitudes, perceptions, and preferences.

6. Longitudinal Studies: Education research often involves longitudinal studies that track students' progress over time. SPSS can handle longitudinal data and assist researchers in examining trends, changes, and growth trajectories.

7. Reporting and Visualization:SPSS offers tools to generate tables, charts, and graphs that enhance the communication of research findings. Clear visual representations make it easier for researchers to present their results to colleagues, policymakers, and the broader academic community.

In a specific example, imagine an education researcher is investigating the effectiveness of a new teaching approach on student engagement and learning outcomes. By using SPSS, the researcher can collect data on student participation rates, test scores, and qualitative feedback. The software allows them to statistically analyze the data, comparing outcomes before and after implementing the new approach. Through SPSS, the researcher can quantify improvements, identify trends, and draw evidence-based conclusions about the impact of the teaching method.

SPSS holds immense importance for education researchers as it empowers them to handle, analyze, and interpret complex educational data. Its robust features contribute to evidence-based decision-making, fostering improvements in teaching practices, curriculum development, and student success.

Deepali Gupta 

Enroll No.23304438

Department of Education 

Answer:

SPSS stands for statistical product and service solution ,it is a software package used for the analysis of statistical data. Although the name of SPSS reflects its original use in the field of social sciences.
It is the one of the most important and useful software for researchers that can perform highly complex data manipulation and analysis with simple instructions .there are many features of SPSS - 1) it includes a full range of data , management system and editing tools.
2) it is easy to learn and use.
3) it provides in depth statistical capabilities.
4) it is not only help us analyse data but help us understand data more.


In history,
SPSS provides an organized way to manage large and complex data sets and perform advanced statistical analysis, In monitoring and evaluation, it can be used in history area for survey and various purposes, including data management, data analysis, and data visualization.

Name : Priti Mehra
Enrollment no. 14056928
Department of Hindi

SPSS importance and relevance lie in its ability to facilitate data management, exploration, and statistical analysis, making it a valuable tool for researchers.
In the context of mathematics, particularly in the field of education research, SPSS can be highly relevant. Consider a study that aims to analyze the effectiveness of different teaching methods on students' math performance. In this context, SPSS could be used for Data Management, Descriptive Statistics, Inferential Statistics, Correlation and Regression Analysis, Data Visualization, Reporting and Interpretation.
Hence SPSS plays a vital role in math research by helping researchers analyze and interpret data, explore relationships between variables, and draw meaningful conclusions in areas such as educational outcomes, statistical modeling, and data-driven decision-making.

Km Radha
Enrollment No.- 17121376
Department of Mathematics

SPSS provides an efficient and organized way to manage large and complex data sets and perform advanced statistical analysis, making it an essential tool for M&E (Monitoring and Evaluation) professionals. In monitoring and evaluation, SPSS can be used for various purposes, including data management, data analysis, and data visualization.

Statistics is a fast and powerful solution that propels research analysis in numerous industries. SPSS Statistics is used in education, market research, healthcare, government and retail throughout the entire analytics process, from planning and data collection to analysis, reporting and deployment. Therefore, it is fruitful for data mining and analytical tool for medical data mining to contribute towards addressing public health issues.

Anurag Bhatt,
Computer Science

Vikas Joshi
Enrollment No. 23304325
SPSS (Statistical Package for the Social Sciences) is utilized in many academic fields, including finance, and it has a lengthy history. In order to conduct descriptive statistics, regression analysis, test hypotheses, and other statistical operations and tests, SPSS offers a wide variety of statistical procedures and tests. The following is a concise summary of SPSS's significance in the field of finance:
 SPSS is a flexible tool for handling data since it lets users develop new functions and packages. People with little programming skills can use SPSS thanks to its well-known user-friendly interface.
 Data files from other programs can be imported and exported using the statistical analysis tool. It provides quick and dependable responses. It is interactive and includes helpful graphs and tables. Users of SPSS can choose the graph type that best fits their needs for data distribution and it is regarded as one of the simplest tools for data analysis.
 In the subject of finance, SPSS (Statistical Package for the Social Sciences) is extremely significant and relevant, providing academics with a potent toolkit for data analysis, modeling, and risk assessment. The capabilities of the software are particularly useful in
 In the subject of finance, SPSS (Statistical Package for the Social Sciences) is extremely significant and relevant, providing academics with a potent toolkit for data analysis, modeling, and risk assessment. The capabilities of the program are especially useful in the financial industry, where accurate data interpretation and well-informed decision-making are essential.
 The tools to assess historical market data and model different risk scenarios are provided by SPSS. Researchers can use statistical methods to find trends, correlations, and patterns by entering financial data into SPSS. For instance, they can examine the relationships between certain economic variables like inflation rates or GDP growth and stock market performance. Understanding the connections between variables and how they affect financial markets is made easier by this.
 SPSS is essential for finance researchers in various other ways. It supports the analysis of large datasets, allowing researchers to handle vast amounts of financial information efficiently. This is particularly important in today's data-driven financial industry, where timely and accurate analysis can give a competitive edge.
 In conclusion, SPSS is a cornerstone tool for finance researchers, providing them with the means to analyze financial data, model risk scenarios, and make informed decisions.

statistical analysis lets researchers, students; teachers make decisions that are based on detailed forecasts and results. To determine correlation the app employs algorithms and machine learning. The program for statistical analysis lets researchers view the findings in a proper way.In an education setting, statistics is important for the following reasons:
1: Statistics allows educators to understand student performance using descriptive statistics.
2: Statistics allows educators to spot trends in student performance using data visualizations.
3: Statistics allows educators to compare different teaching methods using hypothesis tests.
Another common way that statistics is used in education is through data visualizations such as line charts, histograms, boxplots, pie charts and other charts.
MANOJ SINGH NEGI
Diptt. Education
En. 17112373