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Statistics  Data Analysis Survey Data and Likert Scales
Statistics / Data Analysis: Survey Data and Likert Scales
WEBRip | MP4/AVC, ~730 kb/s | 1280 x 720 | English: AAC, 70.3 kb/s (2 ch), 44.1 KHz | 822 MB
Genre: Academics / Math & Science | Language: English | +Project Files

How to Process Survey Data and Analyze Likert Scales In SPSS.

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).

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

What am I going to get from this course?
Over 24 lectures and 3 hours of content!
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

What is the target audience?
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.

Statistics / Data Analysis: Survey Data and Likert Scales

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