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22-12-2015, 13:07

SPSS Beginner To Professional Master Data Analysis in SPSS

Category: Tutorials

SPSS Beginner To Professional: Master Data Analysis in SPSS
MP4 | Video: 1280x720 | 58 kbps | 44 KHz | Duration: 8 Hours | 2 GB
Genre: eLearning | Language: English

A Step-By-Step Guide To Learn SPSS From Scratch, Use Descriptive Statistics and Choose The Appropriate Statistical Test.

This SPSS data analysis course was created for one reason, which is to help anyone without statistics or mathematics background to analyze data in SPSS, choose the right descriptive statistics technique and write up the result of the findings with confidence.

The course covers everything from entering data into SPSS to interpreting the result and offers easy step-by-step guide to mastering descriptive statistics in SPSS.

Firstly, we will take you through the SPSS interface, how to work the system and avoid some of the mistakes people make when choosing variable types and format in SPSS. After that, we will dive into entering data into SPSS, sorting, editing and removing data, and most importantly how to transform any variable into a new variable with recode functions. We will then focus on descriptive statistics in SPSS and you will learn how to run the major descriptive statistics like Mean, Median, Mode, Standard Deviation and One-Samples t-test etc.

You will learn how to create graphs, Descriptions and charts in SPSS and how to manipulate them to suit your needs.

Finally, we teach you the most important skill that most students wish they had; How to choose the appropriate statistical technique to analyze data in SPSS. We have broken down choosing the right test in SPSS into 3 simple steps:

What is the type of variable and how many do you have?
What is the level of measurement of your variables?
Using the three steps above, you will be able to choose the right test to use to analyze your data and we also use the flow chart to choose the right test for 20 real-life research question examples.

Upon completing this course, you will know when to use the following inferential statistic techniques:

Pearson Correlation
Spearman Ranked Order Correlation
Kendall's Tau B Correlation
Independent Samples T-test
Paired Samples T-test
Point Bi-Serial Correlation
Mann Whitney U Test
Kruskal Wallis
Mcnemar's Test
Chi Square
Linear Regression
Mutiple Regression
Binary Logistic Regression
Repeated Measures ANOVA
Between Subject ANOVA
Mixed/Split-Description ANOVA
and so much more.

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