Statistics / Data Analysis: Survey Data and Likert Scales

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Quantitative Specialists

3:02:53

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01 - Introduction to the Course

001 Course Introduction.mp4

03:03

02 - Entering QuestionnaireSurvey Data into SPSS

001 Entering Survey Data - Setting up the Data File.mp4

09:15

001 Entering-Survey-Data-Output-PDF.pdf

001 Questionnaire-Survey-Data-Form-PDF.pdf

001 Questionnaire-Survey-Data-Form-WORD.docx

001 SPSS-Files-Survey-And-Likert-Scales.zip

002 Entering Survey Data - Entering the Survey Responses.mp4

08:50

03 - Processing Survey Data - Recoding, Total Scores, and Syntax

001 Creating Total Scores - Method 1.mp4

04:14

002 Creating Total Scores - Method 2.mp4

06:27

003 Introduction to SPSS Syntax and Recoding Dichomotous Variables - Part 1.mp4

12:37

003 Intro-To-Syntax-And-MC-Tests-Output.pdf

004 Introduction to SPSS Syntax and Recoding Dichomotous Variables - Part 2.mp4

13:15

04 - Creating and Analyzing Likert Scales

001 Copying Value Labels in SPSS - Likert Scales.mp4

08:40

002 Creating Likert Scales in Word.mp4

03:54

002 Likert-Scales-PDF.pdf

002 Likert-Scales-Word.docx

003 Coefficient Alpha - Internal Consistency Reliability.mp4

09:35

003 Coefficient-Alpha-Output-PDF.pdf

003 SWLS-Scale-PDF.pdf

003 SWLS-Scale-Word.docx

004 Reverse Code a Likert Scale.mp4

14:15

004 Reverse-Scored-Items-PDF.pdf

004 Reverse-Scored-Items-Word.docx

05 - Survey Data and Likert Scales in SPSS - Data Set Example with Syntax

001 Overview of Data File - Missing values and Screening for Data Entry Errors.mp4

11:24

002 Likert Scale #1 Satisfaction with Life Scale - Creating Total Scores.mp4

08:23

002 SWLS-Scale-PDF.pdf

002 SWLS-Scale-Word.docx

003 Likert Scale #2 Rosenberg Self Esteem Scale - Reverse Coding Negative Items.mp4

08:09

003 Rosenberg-Self-Esteem-Scale-PDF.pdf

003 Rosenberg-Self-Esteem-Scale-Word.docx

004 Likert Scale #2 Rosenberg Self Esteem Scale - Creating a Total Score.mp4

07:01

005 Davis-IRI-PDF.pdf

005 Davis-IRI-Word.docx

005 Likert Scale #3 IRI Empathy Scale - Reverse Coding Negative Items.mp4

10:43

006 Likert Scale #3 IRI Empathy Scale - Creating Subscale Total Scores.mp4

13:11

06 - Bonus Features Data File Management and Descriptive Statistics in SPSS

001 Measures of Central Tendency - Mean, Median, and Mode.mp4

02:41

002 Mean and Standard Deviation in SPSS.mp4

02:50

003 Subgroup Analysis - Calculating Separate Means for Different Groups.mp4

07:41

004 Insert Variables.mp4

07:20

005 Insert Cases.mp4

02:51

006 Changing the Default Options in SPSS.mp4

05:39

07 - Conclusion

001 Course Conclusion.mp4

00:55

Description

How to Process Survey Data and Analyze Likert Scales In SPSS

What You'll Learn?

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
Understand the Benefits (and Ease) of Using Syntax in SPSS (not required to be used in this course, but extremely advantageous)
How to Calculate and Interpret a Reliability Coefficient in SPSS
How to Process Variables into new Dichotomous Variables such as with a Multiple Choice Test (has many useful applications)
How to Recode Variables in SPSS, such as Negative Items on a Likert Scale
How to Add Variables Together in SPSS to Create Total (Composite) Scores
How to Identify Positive and Negative Items on a Likert Scale
Learn How to Perform and Interpret a Number of Analyses in SPSS, Including Frequencies, Descriptives, and Correlation

Who is this for?

This course is perfect for (1) Professionals looking to increase their data processing skills in SPSS, (2) those working on survey research, and (3) students working on theses or dissertations (or other research projects).

This course may not be ideal for: Those who have no interest in learning how to enter survey data or work with Likert scale data. Also, for those looking exclusively for statistical analysis in SPSS (and not working with survey data and Likert scales), our other courses, such as descriptive and inferential statistics in SPSS, are recommended. We also offer courses on Factorial ANOVA and MANOVA in SPSS.

What You Need to Know?

IBM SPSS software is required (to perform the analyses carried out in this course)

More details

Description
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.
Â Â Â Â Â Â Â Â Â Specifically, in this course you will learn the following:Â
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)
Â Â Â Â Â Â Â Â Â 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).Â
Who this course is for:
This course is perfect for (1) Professionals looking to increase their data processing skills in SPSS, (2) those working on survey research, and (3) students working on theses or dissertations (or other research projects).
This course may not be ideal for: Those who have no interest in learning how to enter survey data or work with Likert scale data. Also, for those looking exclusively for statistical analysis in SPSS (and not working with survey data and Likert scales), our other courses, such as descriptive and inferential statistics in SPSS, are recommended. We also offer courses on Factorial ANOVA and MANOVA in SPSS.

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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!

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