Statistics / Data Analysis: Survey Data and Likert Scales

Learn to effectively process survey data and analyze Likert scales using SPSS in this comprehensive course designed for professionals and researchers.

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  • Curriculum
  • Instructor
  • Review

Brief Summary

This course shows you how to handle survey data and Likert scales using SPSS. You’ll learn to create variables, analyze data, and spot errors in a super straightforward way. Perfect for anyone diving into research, whether you're a student, professional, or just curious!

Key Points

  • Enter and process survey data in SPSS
  • Create and manage variables and value labels
  • Analyze and detect data entry errors
  • Recoding Likert items and creating total scores
  • Conduct reliability analyses and other statistics

Learning Outcomes

  • Enter questionnaire data for various variables in SPSS
  • Reverse code negatively-worded Likert scale items
  • Perform reliability analyses to check data consistency
  • Use SPSS syntax for efficient data analysis
  • Generate professional Likert scales in Microsoft Word

About This Course

How to Process Survey Data and Analyze Likert Scales In SPSS

November, 2019.

This course takes the viewer through the key steps of entering and processing questionnaire/survey data and Likert scales in SPSS, including creating variables in SPSS, entering value labels, using statistical analyses to identify data entry errors, recoding Likert items, computing total (composite) scores, conducting reliability analyses of Likert scales, and computing other statistics, including frequencies, descriptive statistics (mean and standard deviation), and correlations. In addition to this, a number of additional database management skills in SPSS are also covered. Created by an award-winning university instructor with a focus on simple and accurate (step by step) explanations of the material.

                 Specifically, in this course you will learn the following: 

  • How to enter questionnaire data for qualitative and quantitative variables in SPSS

  • How to reverse code negatively-worded Likert scale items

  • How to create composite (total) scores in SPSS

  • How to conduct reliability analyses (coefficient alpha) in SPSS

  • How to use statistical analysis to detect data entry errors

  • How to use SPSS syntax to quickly and efficiently analyze data

  • How to score/recode true/false (dichotomous) data in SPSS

  • How to create professional looking Likert scales in Microsoft Word

  • Learn SPSS database management skills, including inserting variables and cases, recoding variables, applying value labels to several variables at once, handling missing values in SPSS, and more

  • Learn how to conduct statistical analyses in SPSS, including frequencies, descriptives, correlation, and more. (The primary focus of this course is on questionnaire/survey data and Likert scales; for a more detailed look at data analysis in SPSS, our courses descriptive and inferential statistics in SPSS courses are recommended)

                 This course is perfect for professionals looking to increase the data processing skills in SPSS, for those working on survey research, and for students working on theses or dissertations (or other research projects). 

  • Process Survey Data Effectively and Confidently in SPSS

  • Easily Locate Data Entry Errors in SPSS Using Appropriate Statistical Techniques

  • Use Syntax to Quickly Perform a Number of Different Analyses in SPSS

Course Curriculum

1 Lectures

1 Lectures

Instructor

Profile photo of Quantitative  Specialists
Quantitative Specialists

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!

Review
4.9 course rating
4K ratings
ui-avatar of Joseph A. Kumi
Joseph A. K.
5.0
10 months ago

Simple and clear content.

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ui-avatar of Ghanshyam Ram Sagar
Ghanshyam R. S.
4.5
11 months ago

good

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ui-avatar of Pawelos
Pawelos
2.0
1 year ago

There is no much on Likert scale Anayis which is the objective of this lesson.

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ui-avatar of Tariq Abd Al-Wakeel
Tariq A. A.
5.0
1 year ago

,

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ui-avatar of Anonymized User
Anonymized U.
4.5
1 year ago

It was easy to comprehend

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ui-avatar of Beyza Erol
Beyza E.
5.0
1 year ago

quite understandable and comprehensive, great course thank you!

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ui-avatar of Hsiao-Ching Lin
Hsiao-ching L.
2.0
1 year ago

You didn't provide database that can be effectively opened and used to practice.

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ui-avatar of Deniece Williams
Deniece W.
5.0
1 year ago

Good and easy to follow. Reinforcing some things I already know and adding some other things to my toolbox.

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ui-avatar of Liesl Hostetter
Liesl H.
3.0
1 year ago

This course was pretty slow, definitely geared more towards people new to likert scales and SPSS. But even so, it was very repetitive, going over how to do something two or three times. A lot of time was spent on going over pretty trivial information, like what the different scales and datasets were, even though most people won't be using those exact scales and datasets so wouldn't need that much detail on it. In the end it only really covered how to do 2 or 3 analyses in SPSS.

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ui-avatar of Helena Rolle
Helena R.
5.0
1 year ago

Course was a great match. Clearly articulated, moderately paced, explicit explanations. Appreciated.

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