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SPSS Beginners: Master SPSS

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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:

  1. What is your research question?
  2. What is the type of variable and how many do you have?
  3. 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

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


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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