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Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

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Dear all,
RE: Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS

FineResults Research Services would like to invite you to high impact training on Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS to be held in Nairobi from 24th- 28th  February 2020

 

Event information

Course Name:  Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS  
 Venue  :FineResults Research, Nairobi, Kenya
Event Date  :  24th- 28th  February 2020

Course Fee   :  KES 65000 or USD 800

Registration   : REGISTER HERE

INTRODUCTION

SPSS means Statistical Package for the Social Sciences, and it is appropriate for complex statistical data analysis of social science data. SPSS software allows for thorough data management in terms of organizing and managing data and also offers the user a lot of control. Other benefits of the software in data analysis includes it is good in data screening and cleaning, Better organization of the output in a separate window with the data editor window which avoid any data being deleted. This 5 days course intends to equip participants with advanced techniques using SPSS software.

 

DURATION

5 days

 

TARGET PARTICIPANTS

Researchers, students, anyone who interested in enhancing his/ her data analysis skills

 

COURSE OBJECTIVES

By the end of the training, you will be able to:

  • Understand both descriptive and inferential statistics
  • Understand various data collection techniques and data processing methods
  • Use basic functions and navigation within Stata and SPSS software
  • Create and manipulate graphs and figures in SPSS software
  • Handle statistical data analysis tasks in SPSS software
Export the results of your analyses.

Outline

TOPICS TO BE COVERED

Module 1: Statistical Concepts

  • Statistical Concepts
  • Types of data
  • Data Structures and Types of Variables
  • Overview of SPSS
  • Working with the SPSS software (file management, editing functions, viewing options, etc)
  • Output Management
  • Basics programming of SPSS

 

Module 2: Data Entry/Management

  • Entering categorical and continuous data
  • Defining and labeling variables
  • Validation and Sorting variables
  • Transforming, recording and computing variables
  • Restructuring data
  • Replacing missing values
  • Merging files and restructuring
  • Splitting files, Selecting cases  and weighing cases
  • Syntax and output

 

Module 3:

Statistical Inference and Descriptive Statistics

  • Tests of Association
  • Tests of Difference
  • Hypothesis testing

 

Measures of Variability and Central Tendency  

  • Describing quantitative data
  • Describing qualitative data

 

Graphics in Data Analysis

  • Graphing quantitative data
  • Graphing qualitative data
  • Advanced graphics options

 

Correlation  

  • Correlation of bivariate data
  • Subgroup Correlations
  • Scatterplots of Data by Subgroups
  • Overlay Scatterplots

 

Module 4: Test statistics and tests of associations

Comparing Means

  • One Sample t-tests
  • Paired Sample t-tests
  • Independent Samples t-tests
  • Comparing Means Using One-Way ANOVA 
  • MANOVA: multivariate analysis of variance
  • Repeated Measures ANOVA

 

Tests of associations

  • Goodness of Fit Chi Square All Categories Equal
  • Goodness of Fit Chi Square Categories Unequal
  • Chi Square for Contingency Tables
  • Pearson Correlation
  • Spearman Correlation

 

Nonparametric Statistics 

  • Mann-Whitney Test
  • Wilcoxon’s Matched Pairs Signed-Ranks Test
  • Kruskal-Wallis One-Way ANOVA
  • Friedman’s Rank Test for k Related Samples

 

Comparing Means Using Factorial ANOVA 

  • Factorial ANOVA Using GLM Univariate
  • Simple Effects

 

Module 5:

Comparing Means Using Repeated Measures ANOVA 

  • Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
  • Multiple Comparisons

 

Other topics

  • Multiple Regression Analysis
  • Logistic regression (Binary & Multinomial)
  • Cluster Analysis
  • Factor analysis

 

NB: We are offering you a half day, fun and interactive team building event!

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: [email protected]

 

PAYMENT

Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: [email protected]

 

Visit our website for more details

 

How to participate

Individual Registration

 

Contact information

Email:[email protected]

TEL:+254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

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FineResults Research Services offers training solutions to individuals, communities, governments and civil society organizations, both local and international.

We also provide application-oriented and field-based consultancy services in all aspects of research and evaluations from inception to completion. This includes research designs, designing monitoring and evaluations systems, technical reviews, programme evaluations, questionnaire validation, data collection, data capture, data analysis and report writing. FineResults Research Services is a limited company incorporated under the laws of Kenya. Its head office is in Nairobi Kenya.

The organization has a wide range of experience working with both local and international organizations in both consultancies and capacity building in Africa and beyond.

Mission

A world class training and research organization for the realization of individuals, organizations and community welfare.

Vision

To provide world class training and research services that increase individuals and organizations productivity in their development role.

Our Value Statement
  • We cherish partnerships.
  • We believe that our Training and Research Solutions can re-energise organisations by creating vision, certainty and strategic intent. ...
FineResults Research Services
Nairobi, Kenya
+254732 776 700
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