SPSS: Cleaning and Preparing Your Data For Accurate Analyses
SPSS: Cleaning and Preparing Your Data For Accurate Analyses, available at $34.99, has an average rating of 3.8, with 13 lectures, based on 17 reviews, and has 154 subscribers.
You will learn about Why it is important to have a properly formatted questionnaire Nuances of different types of data collection – paper, online, archival, 3rd party, institutional, agency How to properly and accurately clean data in SPSS and Excel How and why to report the data cleaning process This course is ideal for individuals who are Doctoral Students or Early Career Researchers or Undergraduate and Master's Students Who Are Beginning to Conduct Independent Research It is particularly useful for Doctoral Students or Early Career Researchers or Undergraduate and Master's Students Who Are Beginning to Conduct Independent Research.
Enroll now: SPSS: Cleaning and Preparing Your Data For Accurate Analyses
Summary
Title: SPSS: Cleaning and Preparing Your Data For Accurate Analyses
Price: $34.99
Average Rating: 3.8
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
- Why it is important to have a properly formatted questionnaire
- Nuances of different types of data collection – paper, online, archival, 3rd party, institutional, agency
- How to properly and accurately clean data in SPSS and Excel
- How and why to report the data cleaning process
Who Should Attend
- Doctoral Students
- Early Career Researchers
- Undergraduate and Master's Students Who Are Beginning to Conduct Independent Research
Target Audiences
- Doctoral Students
- Early Career Researchers
- Undergraduate and Master's Students Who Are Beginning to Conduct Independent Research
Praise for Todd’s coaching and consulting…
Todd, you are amazing! I appreciate your editing services! The 1st line on my AQR review is “congrats for a strong 1st submission”. I actually had no dings on my grammar etc. (Doctoral Candidate, Arizona)
Todd surpasses all expectations! He has a wealth of knowledge and skill, provides high-quality professional products and is an absolute pleasure to work with.(Nonprofit Consultant, New York)
I highly recommend Dr. Bottom. He is innovative in his approach to solving problems, strategic, highly analytic and persistent. Thanks Todd.(University Research Director, Atlanta)
Todd is a passionate and thorough consultant who came through for LCL when it counted most. He provided a comprehensive report that helped to strategically guide the organization through a critical transition period.(Nonprofit Owner, Chicago)
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About This Course
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This course on data cleaning contains a great amount of detail and was designed to give you step-by-step examples for everything from anticipating data cleaning needs to determining what to do with missing data that will surely impress your colleagues and committee. With our lectures we also provide the PowerPoint slides and other very helpful supporting materials that you can download to use for practice or for your own data project.
One of the most challenging yet rewarding academic experiences that one can accomplish is earning a doctoral degree. However, many doctoral students – especially those in fully or partial online programs – struggle with the early stages of developing their dissertation.
It is extremely important to plan all aspects your dissertation study with an end goal in mind because decisions that you make during early stages can, and likely will, have an impact on later stages and the final production of your project. This course is designed for students and professional researchers who are either about to begin analyzing their study data, or who are in the process of developing their data collection method.
However, the course is not limited to those who are in a doctoral program or who are conducting a dissertation project. Others who will find the course to be helpful include undergraduate students, early career researchers, and those who wish to learn about the process of conducting rigorous research studies.
In addition to the technical skills, here is what you will get from the course:
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Anticipate cleaning before or during collection
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Why not all missing data are the same
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Importance of recording the cleaning process and decisions
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What part of cleaning to report in a manuscript
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Understand reasons for deleting cases from your data
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to the Course
Chapter 2: Module 1 – Early Considerations Prior to Cleaning
Lecture 1: Part 1: Module Learning Goals and Overview
Lecture 2: Part 2: Anticipating Data Cleaning Needs
Lecture 3: Part 3: The Influence of Different Collection Methods
Chapter 3: Module 2 – Cleaning Preparation and the Cleaning Process
Lecture 1: Part 1: Learning Goals and Overview
Lecture 2: Part 2: Preparing for Data Cleaning
Lecture 3: Part 3: Retrieving Data, Cursory Review of Data, Re-coding Participant ID
Lecture 4: Part 4A: Re-coding Variables
Lecture 5: Part 4B: Re-coding Variables (continued)
Lecture 6: Part 5: Recognizing and Handling Missing Data
Chapter 4: Module 3 – Effects of Missing Data and Reporting the Cleaning Process
Lecture 1: Part 1: Learning Goals and Overview
Lecture 2: Part 2: Effects of Missing Values, Documenting and Reporting Data Handling
Chapter 5: Bonus Content
Lecture 1: Bonus Video Lecture and Materials
Instructors
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Todd Bottom, Ph.D. – Founder Research Learning Center
Psychologist, Consultant, Educator
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 3 votes
- 5 stars: 8 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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