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SPSS for NonStatisticians- Analysis, Interpretation, Writeup

LeeAndro

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Published 07/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 65 lectures (6h 22m) | Size: 3 GB

How to create variables, enter data and import data into SPSS
Understanding different types of variables and how to choose analysis depending on the types of variables involved
Summarizing variables using frequencies, percentages, mean, median, and standard deviation
Exploring relationships between different kinds of variables using crosstabulations, correlations and mean differences
How to develop and make sense of charts
How to transform variables and manage data
Understanding fundamentals of inferential statistics and hypothesis testing
Running and interpreting t-tests, ANOVA, linear regression and chi square
How to write the results of all the analyses presented in APA format

No statistics or prior SPSS knowledge required.​

The course takes you from the very basics

For students, researchers and data analysts who don't have a strong statistical background (or any statistical background), this course teaches you statistical data analysis, interpretation, and APA reporting in a simple, practical approach.

Alexander Mtembenuzeni takes the same simple explanations approach he took with the "Learn SPSS in 15 minutes" video on YouTube (now with over 1.9 million views and so many great comments) and used it to create this course.

The goal of this course is to get you to complete your research project without the need to go through complicated theories!

The course takes you from absolute bner of SPSS and statistics with lessons such as getting familiar with the SPSS interface, creating variables, entering data, and running, interpreting and reporting basic analyses. From there, you will be introduced to inferential tests and hypothesis testing with statistics such as t-tests, ANOVA and linear regressions.

The course covers

Data entry, data importing and preparation

Summarizing data using descriptive statistics

Exploring relationships between different types of variables

Choosing appropriate charts and developing them

Transfog variables and managing the data to suit your analyses

Choosing the appropriate inferential tests such as chi-square, t-tests and regression and running them

How to interpret all the statistics presented in the course

And how to write your results in your reports, dissertations, or thesis using the APA format

For students, researchers and data analysts who don't have a strong statistical background

HomePage:
Code:
https://anonymz.com/https://www.udemy.com/course/spss-for-nonstatisticians/



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Code:
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https://1dl.net/p5txxjcg741w/ZZClBaZJ__SPSS_for_N.part3.rar.html
 

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