SPSS Beginners: Master SPSS
SPSS Beginners: Master SPSS, available at $49.99, has an average rating of 4.35, with 48 lectures, based on 627 reviews, and has 2411 subscribers.
You will learn about Master the operation of SPSS and use it confidently Enter and Code Data Correctly Into SPSS Use Measures of Central Tendency and Dispersion in SPSS Create and Edit Graphs, Charts and Plots in SPSS Learn The Different Types of Inferential Statistics in SPSS Understand the assumption of normality and no outlier and the graphical and statistical method to check them in SPSS Analyse Your Data and Write-up The Results in APA and Harvard Style For Pearson, Spearman, Kendall's Tau B and Point-Biserial Correlation Choose The Right Statistical Technique To Analyse Data in SPSS This course is ideal for individuals who are Ph.D, Masters and Undergraduate Students in Universities using SPSS for A Thesis, Dissertation or Statistics Module or Investors and Professionals with keen interests in sharpening their data analysis and statistic skills or Anyone Seeking to boost their statistics skill, while gaining an in-depth knowledge of Data Analysis in SPSS It is particularly useful for Ph.D, Masters and Undergraduate Students in Universities using SPSS for A Thesis, Dissertation or Statistics Module or Investors and Professionals with keen interests in sharpening their data analysis and statistic skills or Anyone Seeking to boost their statistics skill, while gaining an in-depth knowledge of Data Analysis in SPSS.
Enroll now: SPSS Beginners: Master SPSS
Summary
Title: SPSS Beginners: Master SPSS
Price: $49.99
Average Rating: 4.35
Number of Lectures: 48
Number of Published Lectures: 48
Number of Curriculum Items: 48
Number of Published Curriculum Objects: 48
Original Price: €49.99
Quality Status: approved
Status: Live
What You Will Learn
- Master the operation of SPSS and use it confidently
- Enter and Code Data Correctly Into SPSS
- Use Measures of Central Tendency and Dispersion in SPSS
- Create and Edit Graphs, Charts and Plots in SPSS
- Learn The Different Types of Inferential Statistics in SPSS
- Understand the assumption of normality and no outlier and the graphical and statistical method to check them in SPSS
- Analyse Your Data and Write-up The Results in APA and Harvard Style For Pearson, Spearman, Kendall's Tau B and Point-Biserial Correlation
- Choose The Right Statistical Technique To Analyse Data in SPSS
Who Should Attend
- Ph.D, Masters and Undergraduate Students in Universities using SPSS for A Thesis, Dissertation or Statistics Module
- Investors and Professionals with keen interests in sharpening their data analysis and statistic skills
- Anyone Seeking to boost their statistics skill, while gaining an in-depth knowledge of Data Analysis in SPSS
Target Audiences
- Ph.D, Masters and Undergraduate Students in Universities using SPSS for A Thesis, Dissertation or Statistics Module
- Investors and Professionals with keen interests in sharpening their data analysis and statistic skills
- Anyone Seeking to boost their statistics skill, while gaining an in-depth knowledge of Data Analysis in SPSS
Course Description
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, plots 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 your research question?
- 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-Plot ANOVA
- and so much more.
Course Materials
We use a mix of video materials, slides, template documents, SPSS data and output files to make sure this course is delivered effectively.
Taking this course is perhaps going to be the best decision you will ever make if you are going to use SPSS. It is not just about the content and context, it is more to do with the way the course is delivered and our ability to debunk complicated techniques. Our philosophy is; if you can’t explain it simply, you don’t understand it well enough. We explain everything using simple English to make sure you make the most of this course. This course should only take few days, but what you will learn will help you for the rest of your life.
Course Curriculum
Chapter 1: Introduction To SPSS
Lecture 1: Course Introduction
Lecture 2: Download and Install SPSS: Step-By-Step Guide
Chapter 2: Creating, Importing and Exporting Data in SPSS
Lecture 1: Designing A Good Questionnaire and Codebook For SPSS
Lecture 2: Getting Familiar With SPSS
Lecture 3: File Options in SPSS
Lecture 4: Importing Data From Other Softwares Into SPSS
Lecture 5: SPSS Shortcuts
Chapter 3: Creating, Managing and Manipulating SPSS Variables
Lecture 1: Types of Variables
Lecture 2: Levels of Measurements in SPSS
Lecture 3: Creating Variables in SPSS
Lecture 4: Dealing With Missing Values in SPSS
Lecture 5: How To Compute Variables in SPSS
Lecture 6: Recoding Variables
Chapter 4: Descriptive Statistics: Measures of Central Tendency and Dispersion
Lecture 1: Introduction To Descriptive Statistics
Lecture 2: Calculating Measures of Central Tendency in SPSS
Lecture 3: Measures of Dispersion in SPSS: Standard Deviation, Variance and Range
Lecture 4: Percentiles, Deciles and Quartiles in SPSS
Lecture 5: Calculating Z-Scores
Lecture 6: Comparing Values For Group
Chapter 5: Creating and Interpreting The Outputs of Charts, Plots and Graphs
Lecture 1: How To Create and Interpret The Result of A Histogram
Lecture 2: Creating Bar Graphs in SPSS
Lecture 3: Pie Charts in SPSS
Lecture 4: Simple and Cluster Line Graphs
Lecture 5: Creating Scatterplots in SPSS
Lecture 6: Using Boxplots In SPSS
Lecture 7: Editing Graphs and Charts In SPSS
Chapter 6: Descriptive Statistics: Preliminary Tests
Lecture 1: Introduction To Normal Distribution
Lecture 2: Graphical Method For Checking The Assumption of Normality
Lecture 3: Statistical Method For Checking For Normality: Skewness and Kurtosis
Lecture 4: Statistical Method For Checking For Normality: Shapiro-Wilk & Kolmogorov-Smirnov
Lecture 5: Transforming a Non-normal variable to normal in SPSS
Lecture 6: Detecting Univariate Outliers in SPSS
Lecture 7: Detecting Multivariate Outliers in SPSS
Chapter 7: Introduction To Inferential Statistics
Lecture 1: What are Independent and Dependent Variables
Lecture 2: Significant, Sig or P value
Lecture 3: Writing An Hypothesis
Lecture 4: Types of Inferential Statistics
Chapter 8: Correlation in SPSS
Lecture 1: Introduction To Correlation in SPSS
Lecture 2: Pearson Correlation Analysis in SPSS
Lecture 3: Spearman Ranked Order Correlation
Lecture 4: Kendall's Tau B Correlation
Lecture 5: Point Biserial Correlation
Chapter 9: Choosing The Right Test
Lecture 1: Choosing The Right Test in SPSS: Step 1
Lecture 2: Choosing The Right Test in SPSS: Step 2
Lecture 3: Choosing The Right Test in SPSS: Step 3
Lecture 4: Choosing The Right Test in SPSS: Example Question 1 – 7
Lecture 5: Choosing The Right Test in SPSS: Example Question 8 – 13
Lecture 6: Choosing The Right Test in SPSS: Example Question 13 – 20
Instructors
-
SPSS Statisticians MyProjects
SPSS Specialist | Academic Tutors
Rating Distribution
- 1 stars: 8 votes
- 2 stars: 22 votes
- 3 stars: 99 votes
- 4 stars: 232 votes
- 5 stars: 266 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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