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SPSS: The complete beginner's guide.

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Okoro Samuel Ogheneyole

11:44:37

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  • 1 - SPSS Basics.mp4
    13:30
  • 2 - Data entry part 1.mp4
    28:17
  • 3 - Data entry part 2.mp4
    24:52
  • 3 - Substance-abuse-questionnaire.pdf
  • 3 - practice.zip
  • 4 - Data entry part 3.mp4
    13:31
  • 4 - Reproductive-health-questionnaire.1.pdf
  • 5 - Designing of questionnaires part 1.mp4
    08:36
  • 6 - Designing of questionnaires part 2.mp4
    17:35
  • 7 - Standardization of questionnaires.mp4
    07:26
  • 8 - Importing data from MS Excel.mp4
    18:57
  • 9 - Data merging.mp4
    07:30
  • 10 - Data cleaning part 1.mp4
    16:38
  • 11 - Data cleaning part 2.mp4
    25:40
  • 11 - mr-john-completed-corrected.zip
  • 12 - Data cleaning part 3.mp4
    42:02
  • 12 - prysch.zip
  • 13 - Data cleaning part 4.mp4
    23:33
  • 13 - evi-cerhi-data-entry.zip
  • 13 - new-kpa-hpv-research-1.zip
  • 14 - Data cleaning part 5.mp4
    31:26
  • 15 - Data cleaning dealing with missing values.mp4
    21:54
  • 15 - correctedprimary-spss-2.zip
  • 16 - Data regrouping part 1.mp4
    27:51
  • 16 - sec-sch-rural-spss.zip
  • 17 - Data regrouping part 2.mp4
    14:28
  • 18 - Data computing and scoring.mp4
    32:07
  • 19 - Data scoring part 2.mp4
    19:25
  • 20 - Data scoring part 3.mp4
    01:29:20
  • 20 - Questionaire-1.docx
  • 20 - evi-cerhi-data-entry-1.zip
  • 21 - Data scoring part 4.mp4
    13:47
  • 22 - Data scoring part 5.mp4
    04:22
  • 23 - Mean mode and standard deviation.mp4
    09:51
  • 24 - Chi square and Fischers exact.mp4
    16:27
  • 25 - Comparative studies analysis.mp4
    25:14
  • 26 - One sample Ttest.mp4
    06:07
  • 27 - Paired sample Ttest.mp4
    05:22
  • 28 - Independent Ttest.mp4
    07:34
  • 29 - Oneway ANOVA.mp4
    11:18
  • 30 - 2way ANOVA in SPSS.mp4
    07:19
  • 31 - Simple correlation analysis in SPSS.mp4
    19:26
  • 32 - Simple linear regression analysis.mp4
    08:57
  • 33 - Binary logistic regression analysis.mp4
    16:42
  • 34 - Multinomial logistic regression analysis.mp4
    08:50
  • 35 - How to check for normality of a distribution.mp4
    06:35
  • 36 - How to use WHO Anthro and Anthro plus.mp4
    16:47
  • 37 - How to draw MS word tables part 1.mp4
    07:55
  • 38 - How to draw MS word tables part 2.mp4
    09:29
  • 39 - How to draw Pie charts in MS word.mp4
    09:03
  • 40 - How to draw Bar charts in MS word.mp4
    01:23
  • 41 - How to copy results from SPSS result sheet to MS word tables.html
  • 42 - Chapter 4 result presentation.mp4
    07:31
  • Description


    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.

    Who is this for?


  • Beginner
  • Intermidiate
  • What You Need to Know?


  • 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.
  • More details


    Description

    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!


    Who this course is for:

    • Beginner
    • Intermidiate

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    Okoro Samuel Ogheneyole
    Okoro Samuel Ogheneyole
    Instructor's Courses
    I'm a licensed Medical doctor with experience in community health research and use of the SPSS software spanning for over a period of 5years. I have analyzed numerous number of research using the SPSS software and also successfully taught students who now showcase expertise in the use of the SPSS software for analysis of research works.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 41
    • duration 11:44:37
    • Release Date 2023/11/22

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