September 15 2023

Spss: The Complete Beginner'S Guide.

Spss: The Complete Beginner'S  Guide.

Spss: The Complete Beginner'S Guide.
Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.72 GB | Duration: 11h 45m

Master questionnaire entry into SPSS without making mistakes, Data cleaning, Data scoring, Data analysis and much more.

What you'll learn
A good understanding of the SPSS interface, which includes the Data and Variable view
How to enter questionnaires into SPSS correctly and in such a way that will make your statistical analysis easier.
How to design and standardize your questionnaires before entering the field
Extensive coverage of all possible questionnaire entry errors with easy and quick methods of cleaning out these errors.
How to regroup and score your data for best results from your research work.
Exploring the relationship between different variables using cross-tabulations, Chi square test and mean differences.
How to choose the appropriate statistical analysis for your study and other major statistical analysis in SPSS.
Proper presentation of your SPSS analysis results in your research work.
Visualization of your SPSS results using WHO Anthro and Anthro plus, Word tables, Pie charts and bar charts.
This course is built from scratch, hence no prior of SPSS is required. A laptop with a copy of SPSS version 26 and upwards installed.
This course is for students and researchers carrying out their research projects which includes those with no prior knowledge of SPSS and those with some basic knowledge of SPSS but wish to improve on their SPSS skills. Each section begins with introduction to the topic and a guide through a practical task on SPSS and I'm certain you will get same results if you follow the steps.In this tutorial, i've shared my personal skills in SPSS and experience in research gained over the years that has made analysis easier for me and i believe that will be your story too.My experience shared in this course will also help students to overcome the common difficulties and confusion that is faced in the process of data analysis.There are also resources available in this course that will help you practice most of the things you will learn. On completion of this course you will develop the ability to independently and confidently prepare for your research work, enter your questionnaire into SPSS correctly, choose the appropriate statistical analysis required for your research work and carry out your data analysis to get the desired results for your study interest.Happy learning my friend!
Section 1: Let's get started!
Lecture 1 SPSS Basics
Section 2: Entry of questionniare into SPSS
Lecture 2 Data entry part 1
Lecture 3 Data entry part 2
Lecture 4 Data entry part 3
Section 3: Designing and standardization of questionnaires
Lecture 5 Designing of questionnaires part 1
Lecture 6 Designing of questionnaires part 2
Lecture 7 Standardization of questionnaires
Section 4: Data importing and merging in SPSS
Lecture 8 Importing data from MS Excel
Lecture 9 Data merging
Section 5: Cleaning your data
Lecture 10 Data cleaning part 1
Lecture 11 Data cleaning part 2
Lecture 12 Data cleaning part 3
Lecture 13 Data cleaning part 4
Lecture 14 Data cleaning part 5
Lecture 15 Data cleaning: dealing with missing values
Section 6: Regrouping of data in SPSS
Lecture 16 Data regrouping part 1
Lecture 17 Data regrouping part 2
Section 7: Data computing and scoring in SPSS
Lecture 18 Data computing and scoring
Lecture 19 Data scoring part 2
Lecture 20 Data scoring part 3
Lecture 21 Data scoring part 4
Lecture 22 Data scoring part 5
Section 8: Data analysis in SPSS
Lecture 23 Mean, mode and standard deviation.
Lecture 24 Chi square and Fischer's exact
Lecture 25 Comparative studies analysis
Lecture 26 One sample T-test
Lecture 27 Paired sample T-test
Lecture 28 Independent T-test
Lecture 29 One-way ANOVA
Lecture 30 2-way ANOVA in SPSS
Lecture 31 Simple correlation analysis in SPSS
Lecture 32 Simple (linear) regression analysis
Lecture 33 Binary logistic regression analysis
Lecture 34 Multinomial logistic regression analysis
Lecture 35 How to check for normality of a distribution
Section 9: Data visualization.
Lecture 36 How to use WHO Anthro and Anthro plus
Lecture 37 How to draw MS word tables part 1
Lecture 38 How to draw MS word tables part 2
Lecture 39 How to draw Pie charts in MS word
Lecture 40 How to draw Bar charts in MS word
Lecture 41 How to copy results from SPSS result sheet to MS word tables.
Lecture 42 Chapter 4 result presentation


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