Data analysis using IBM SPSS for beginners

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1. Introduction

1. Introduction.mp4

02:11

2. Difference between Descriptive and Inferential Statistics

1.1 SPSS Session Lecture Short Notes.pdf

1. Descriptive and Inferential Statistics.mp4

03:13

3. Descriptive Statistics Example

1. Descriptive Statistics Example.mp4

21:51

4. Inferential Statistics-Null(H0) & Alternate hypothesis(H1)

1. Null(H0) & Alternate hypothesis(H1).mp4

39:21

5. Reject H0 vs fail to reject H0

1. Reject H0 vs fail to reject H0.mp4

16:20

6. Testing Null Hypothesis

1. Testing Null Hypothesis.mp4

09:06

7. Collecting Data using Google form

1.1 Survey RawData.xlsx

1. Collecting Data using Google form.mp4

08:00

8. Handling missing data, outliers, inappropriate codes etc

1.1 Survey AfterCoding.xlsx

1. Handling missing data, outliers, inappropriate codes etc.mp4

28:59

9. Entering Data in IBM SPSS

1. Collecting, importing data & entering data in SPSS.mp4

11:29

10. Recoding variable

1. Recoding variable.mp4

16:46

11. Correlation

1. Parametric (Pearson) vs Non-Parametric (Spearman) Correlations.mp4

02:35

2. Test for Normality.mp4

25:24

3. Correlation test.mp4

14:11

12. Linear Regression

1. Concept of liner regression.mp4

10:24

2. Liner regression assumptions, equation & interpretation.mp4

26:06

13. Compare Means

1. One Sample test & Interpretation.mp4

22:08

2. Independent Sample t test.mp4

16:00

3. ANOVA test.mp4

01:21

14. Chi square & Interpretation

1. Chi square & Interpretation.mp4

06:48

Description

Data Analysis, IBM SPSS, Statistics

What You'll Learn?

Know the application of statistical concepts in research during data analysis stage.
Handle research data using IBM SPSS for analysis.
Interpret the output of IBM SPSS.
Understand the concept of inferential statistics including hypothesis and its relevance in research.

Who is this for?

Beginner in research who would like to use IBM SPSS for Data Analysis

What You Need to Know?

Should have the basic knowledge of research and excel

More details

Description
Aim
This course is aimed at better understanding the application of statistical concepts in research during data analysis stage which can enable the research scholars, students and faculty members to undertake thesis, dissertation and research paper.
Expected Outcome:
1. The workshop shall offer you the basic foundation for statistical analysis using SPSS.
2. The participants will be clear with applying appropriate statistical test for the given
data.
3. The participants shall be familiar data entry, data preparation, data analysis techniques
and hypothesis testing using SPSS.
4. Detailed Interpretation of the Output results.
Pedagogy:
The program shall be focused mainly on application of statistics for analyzing the data. The
session will be a blend of theory and practical with more importance to hands on exercise. Input
data shall be given to the participants to analyse and come out with meaningful results. SPSS
shall be used as a tool for data analysis. Equal importance shall be given to the concepts behind
the test and interpretation of the result.
Target Audience:
1. Research Scholars
2. Management Students
3. Faculties
SPSS as a tool for Data Analysis:
SPSS is one of the most widely used statistical software which is being recognised by the research community worldwide. Thanks to its user friendly Graphical User interface which has made data analyses much easier to deal with few clicks to get the required output. No matter how user friendly it is, one cannot neglect the importance of underlying fundamental statistics behind it to understand which type of test to use to what type of data and how to interpret the same. As a researcher, one has to be familiar with both the tools and techniques of data analysis and theory behind it. The two day national work shop on data analysis technique bridge the gap between all three dimensions of data analysis-Tools, Techniques and Theory behind it.

Who this course is for:
Beginner in research who would like to use IBM SPSS for Data Analysis

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