For many students, the thought of completing a statistics subject, or applying statistics in their research, is a major source of stress and frustration. Hopefully this course will give you the con�idence to tackle your research work using SPSS calmly and sensibly, or at least without too much stress!

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Course Syllabus

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Course Syllabus : SPSS Fundamentals [Page 1]

Course Overview! For many students, the thought of completing a statistics subject, or applying statistics in their research, is a major source of stress and frustration.

This course is designed for students completing research design and statistics courses and for those involved in planning and executing research of their own. Hopefully this course will give you the con�idence to tackle your research work using SPSS calmly and sensibly, or at least without too much stress! Many of the problems that students experience with using SPSS are due to anxiety and confusion from dealing with strange jargon, and too many choices. Unfortunately, most statistics courses and textbooks encourage both of these sensations! In this course I try to translate SPSS usage into a language that can be more easily understood and digested. This course is not intended to cover all possible statistical procedures available in SPSS, or to answer all questions researchers might have about statistics. Instead, it is designed to get you started with your research work using SPSS and to help you gain con�idence in the use of the program. Some assumptions: If you are enrolling in this course it is assumed that – you have a research or statistics course or you want to learn SPSS for similar purpose and you don’t have idea about how to getting started with SPSS.

The scope of the course: Since we assume you - don’t have idea about how to getting started with SPSS, we will start from the very beginning of SPSS use. We will guide you - how to design your research study, how to prepare your codebook using SPSS, how to create data �ile and enter data in SPSS, how screen your data �ile to trace errors and clean the data. In the last phase we will illustrate some basic analyses like – descriptive statistics for de�ining and summarizing your data, using graphs to visually describe your data, manipulating data, checking scale reliability, and most importantly the choosing the right statistics for your study. We hope you will enjoy your journey with SPSS.

Course Syllabus : SPSS Fundamentals [Page 2]

Chapter Outline Part One: Getting Started

Part Two: Preparing your data �ile

Data analysis is only one part of the research process. Before you can use SPSS to analyze your data, there are a number of things that need to happen. First, you have to design your study and choose appropriate data collection instruments. Once you have conducted your study, the information obtained must be prepared for entry into SPSS (using something called a ‘codebook’). To enter the data you must understand how SPSS works and how to talk to it appropriately. Each of these steps is discussed in Part One. Chapters covered in this part are :

Preparation of the data �ile for analysis involves a number of steps. These include creating the data �ile and entering the information obtained from your study in a format de�ined by your codebook (covered in Chapter 2). The data �ile then needs to be checked for errors, and these errors corrected. Part Two of this course will cover these two steps.

1. Designing your study : This chapter will provide some tips and suggestions for designing a study, with the aim of obtaining good-quality data

2. Preparing your codebook using SPSS It will cover the preparation of a codebook to translate the information obtained from your study into a format suitable for SPSS. 3. Introduction to SPSS This chapter will take you on a guided tour of the program, and some of the basic skills that you will need are discussed. If this is your �irst time using SPSS, it is important that you read the material presented in Chapter 3 before attempting any statistical analysis.

4. Creating data �ile using SPSS and entering data

In this chapter the procedures required to create a data �ile and enter the data will be discussed. 5. Screening and cleaning data In this chapter, the process of screening and cleaning the data �ile will be covered.

Part Three: Preliminary analyses Once you have a clean data �ile, you can begin the process of inspecting your data �ile and exploring the nature of your variables. This is in readiness for conducting speci�ic statistical techniques to address your research questions. There will be �ive chapters that make up Part Three of this course.

Course Syllabus : SPSS Fundamentals [Page 3]

6. Descriptive Statistics In Chapter 6, the procedures required to obtain descriptive statistics for both categorical and continuous variables are presented. This chapter will also cover checking the distribution of scores on continuous variables in terms of normality and possible outliers. 7. Using graphs to describe and explore data Graphs can be useful tools when getting to know your data. Some of the more commonly used graphs available through SPSS will be presented in Chapter 7.ontinuous variables in terms of normality and possible outliers. 8. Manipulating the data Sometimes manipulation of the data �ile is needed to make it suitable for speci�ic analyses. This may involve calculating the total score on a scale, by adding up the scores obtained on each of the individual items. It may also involve collapsing a continuous variable into a smaller number of categories. These data manipulation techniques will be covered in Chapter 8. 9. Checking the reliability of a scale

In Chapter 9, the procedure used to check the reliability (internal consistency) of a scale will be presented. This is particularly important in survey research, or in studies that involve the use of scales to measure personality characteristics, attitudes, beliefs etc.

10. Choosing the right statistics Also included in Part Three will be a chapter that helps you through the decision-making process in deciding which statistical technique is suitable to address your research question. In Chapter 10, you will be provided with an overview of some of the statistical techniques available in SPSS and led step by step through the process of deciding which one would suit your needs. Important aspects that you need to consider (e.g. type of question, data type, characteristics of the variables) will be highlighted.

Assessment Criteria Quiz : .................................. 30% Project: ............................... 30% Written Exam: .................... 40% _____________________________ Total 100% All of the assessment modules will be conducted over online using sophisticated web technology. Only enrolled students will be eligible for ‘Assessment’. After the course completion students will be given certi�icate based on their performance. Performance will

Course Syllabus : SPSS Fundamentals [Page 4]

be evaluated based on the garding system de�ined in the next topic.

Grading System

Table illustrated below is the applicable grading system for the students. Based on the students’ performance grade will be assigned in their certi�icate. Numerical Grade 80% and above 75% to less than 80% 70% to less than 75% 65% to less than 70% 60% to less than 65% 55% to less than 60% 50% to less than 55% 45% to less than 50% 40% to less than 45% Less than 40%

Letter Grade A+ (A Plus) A (A Regular) A- (A Minus) B+ (B Plus) B (B Regular) B- (B Minus) C+ (C Plus) C (C Regular) D F

Grade Point 4.00 3.75 3.50 3.25 3.00 2.75 2.50 2.25 2.00 0.00

Interpretation Outstanding Excellent Very Good Good Satisfactory Below Satisfactory Average Pass Poor Fail

FAQ: Q1 : Who can enroll in the course? Ans 1: Any student, professional or interested person can enroll in this course. Q2: Is there any speci�ic academic pre-requirement to enroll in the course? Ans 2: No, we don’t have any speci�ic academic requirement for the students. Everyone from any academic background is cordially invited in the course. But if you are from Business Studies background, then it will be an added advantage for you. Q3: How many courses I can enroll simultaneously? Ans 3: We offer �lexibility in terms of enrollment. Based on your capacity you can enroll in as many courses as you like. It’s totally up to you.

Q4: How much I will have to pay for the course? Ans 4: eVarsity is voluntary initiative. It

Course Syllabus : SPSS Fundamentals [Page 5]

offers education for free. Our vision is to ‘make this world prosperous by providing free education’. So, you don’t have to pay for the course. Q5: What about the study materials? Ans 5: For this course all of the study materials will be provided to you in PDF, Word, Powerpoint Presentation, Audio and Video �ile format (as per the material nature and convenience). Q6: How the exam and other assessment will be done? Ans 6: All the assessment will be conducted over online using integrated web technology.

Q 7: Who will be eligible for the certi�icate? Ans 7: Only enrolled students and of them who have completed all of the assessment phases will be eligible for the certi�icate. Q8: Can anyone enroll in the middle of the course? Ans 8: No. But interested students may register for the next session.

Q 9: If not enrolled, can’t anyone join the lecture? Ans 9: Yes, you can. Don’t worry about the enrollment. You can join any lecture at any time without enrolling. But you will not be assessed and thus you will not be certi�ied. So, it is highly recommended to enroll.

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