Opening A Training Course On Statistical Analysis Using SPSS V25

Overview

There is a need for conducting a training programme with a special focus on questionnaire designing and statistical methods using a standard statistical software such as SPSS. This software is very user friendly and vastly used by academicians/researchers/students to analyze the data of research studies/Surveys/Evaluations, etc. Therefore, a training course/programme entitled “Opening A Training Course On Statistical Analysis Using SPSS V25” is being organized for professionals engaged in research and analysis in any field or any working place that deals with data.

Objective

This course will provide an application-oriented introduction to the statistical component of SPSS, how to make data entering and coding of closed and open-ended questions, how to manipulate different kinds of data (qualitative or quantitative), and how to making transformation of data. Participants will learn how to design a survey questionnaire database, review some statistical techniques and discuss situations in which they would use each technique, the assumptions made by each method, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring, summarizing and presenting data, as well as investigating and testing underlying relationships. Participants will gain an understanding of when, where and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.

Training Skills Acquired (Training Course Outcome)

By the end of this course participants will understand the following:

  1. Meaning of Statistics, types of data, level of measurements, population and sample, sampling techniques, etc.;
  2. Designing survey questionnaire database in SPSS;
  3. SPSS Data entering environment and data coding;
  4. SPSS data processing and presenting;
  5. SPSS windows understanding such as Data editor, Viewer (Output), Pivot Table, Chart Editor, Syntax window, etc.;
  6. Analyze any type of qualitative and quantitative data using SPSS with confidence;
  7. Learning how to do daily routine works using SPSS Paste features;
  8. Capacity building of the participants to design the analysis plan for surveys, secondary data, and evaluation studies using SPSS;

Audience

The course is intended for the following categories:

  1. Anyone with limited or no statistical background deals with data or wants to deal with data;
  2. Anyone who has worked with SPSS Statistics and wants to become better versed in the basic statistical capabilities of SPSS;
  3. Anyone who wants to refresh their knowledge and data processing experience that were gained many years ago;
  4. Anyone working in Governmental, INGO, NGO or any other institutions that his/her work is related to data entering, reviewing, organizing, summarizing, presenting, analyzing, or interpreting such as economists, programme managers, data information manager, information officer, data analyst officer, Data entry officer, etc.

Number of Participants

A total 15-20 participants would be selected from the nomination received.

Registration

For participation, please send your information via the following link:

https://ee.kobotoolbox.org/x/#xpJ2a8dp

Or send the following information through emailing info@soss-iraq.com or dilshadss2004@gmail.com :

  1. Participant’s Job Title:
  2. Name of Course:
  3. Phone Number:
  4. Email Address:
  5. Full Name:
  6. City/Town:
  7. Participant’s Education Level:
  8. Participant’s Language (Mother Tongue):
  9. Other languages:

For more information, please call 07508779933 or 07704489933.

About the Trainer

Dr. Delshad Shaker Ismael Botani is an assistant professor of Statistics and Informatics department in Salahaddin University – Erbil and CEO of SOSS Company with more than of 22 years of experience teaching statistical subjects and conducting data analyses in national and international organizations such as UN-FAO, GFK Company, FHI360, USAID, UNICEF, etc. He is a member of national and international organizations such as ESOMAR, Kurdistan Economist Syndicate, and has one published statistical book called AMARZANI in Kurdish language.

Course Duration and Fees

There are 2 options for course duration and fees:

  1. The first option is conducting a training course on Sunday, January 13, 2018 for 3 days, 6 hours a day from 9:30 – 13:00, 14:00 – 16:30. The place of training course is SOSS office – Erbil Governorate. The course fee is 175 USD including coffee breaks, lunch, and helping to install SPSS V25. Participants could pay the course fees by cash or bank account.

  1. The second option is conducting a training course on Sunday, January 20, 2018 for 9 days, 2 hours a day, 3 times a week (Sunday, Tuesday, and Thursday) from 16:00 to 18:00. The place of training course is SOSS office – Erbil Governorate. The course fee is 150 USD including coffee break and helping to install SPSS V25. Participants could pay the course fees by cash or bank account.

Requirements

  • The course is built from scratch so no prior knowledge of SPSS or Statistics is required. The course will cover all the required details in the course both theory and practical part.

  • The participants must have a laptop to practice the steps taught in this course.

Key topics

  1. Introduction to statistics
    • Statistics definition and its branches
    • Explain the difference between a sample and a population
    • Sample and Sampling
    • Explain the difference between surveys and experiments
    • Measures of Central tendency and Dispersion
    • Explain the difference between independent and dependent variables
    • Correlation and Regression
    • Test hypotheses-theory.
  2. Introduction to SPSS environments
    1. Why SPSS
    2. SPSS’s Windows
    3. Basic features of SPSS
    4. Preparation of SPSS Data set, Levels of Measurement
    5. Data management
      • imports export of data file,
      • Selection of data,
      • Recoding of a variable,
      • Computing new variable,
      • Merging of data sets,
      • Sorting of data sets.
    6. Most important Descriptive Statistics
      • Descriptive statistics,
      • Graph and Charts: Bar, Histogram and Pie,
      • Frequency, histogram, normal curve,
      • Cross-tabulation
  3. Some important SPSS features
    • Select Cases
    • Split File
    • Weight Cases
  4. Communicating Results
    • Modifying Output Tables and Charts
    • Using Chart Templates
    • Using Table “Looks”
    • Including output in other applications (i.e. Excel or Word).
  5. Test the relationship between scale variables
    • Chart the relationship between two scale variables
    • Use Pearson’s correlation coefficient to examine the relationship between two scale variables
    • Test hypotheses on Pearson’s correlation coefficient
    • Assumptions for using Pearson’s correlation coefficient
    • Simple Linear Regression Analysis
    • Multiple Linear Regression Analysis.
  6. Test the relationship between categorical variables
    • Use the Chart Builder to graphically illustrate the relationship between two categorical variables
    • Use percentages in Crosstabs to describe the relationship between two categorical variables
    • Use the Chi-Square test in Crosstabs to test the relationship between two categorical variables.
  7. Test hypotheses about individual variables
    • Explain the sampling distribution of a statistic
    • Explain the difference between the standard deviation and the standard error
    • Use the One-Sample T Test to test a hypothesis about a population mean
    • Use the Paired-Samples T Test to test on a “before-after treatment” effect
    • Use the Binomial Test to test a hypothesis about a population proportion.
  8. Test the difference between two group means
    • Use the Chart Builder to graphically illustrate the difference between two group means
    • Use Explore and Means to describe the differences between groups
    • Use the Independent-Samples T Test to test whether the difference between two group means is statistically significant.