BEST RESEARCH DESIGN DATA MANAGEMENT AND STATISTICAL ANALYSIS USING SPSS TRAINING

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research at our FineResults Research Services training facilities in Nairobi, Kenya or online.

RESEARCH DESIGN DATA MANAGEMENT AND STATISTICAL ANALYSIS USING SPSS

INTRODUCTION

SPSS is a complete statistical software package for data management, data analysis and graphics. Using the software classical and advanced functions, SPSS software can be used via a graphical user interface (menus and dialog boxes) or a using syntax command. Besides equipping the participants with advanced data management and analysis using SPSS, this 10 days course aim to introduce participants to research design, sampling techniques and report writing skills all aimed at helping the participants to understand the research process all through to decision making.

COURSE DURATION

10 Days

TARGET PARTICIPANTS

Government institutions, research institutions and NGOs and any other person interested in advancing data analysis skills using SPSS software

COURSE OBJECTIVES

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

Understand and appropriately use statistical terms and concepts

Design both quantitative and qualitative data collection tools

Understand both descriptive and inferential statistics

Understand various data collection techniques and data processing methods

Use basic functions and navigation within SPSS

Create and manipulate graphs and figures in SPSS

Execute syntax

Use SPSS effectively for manipulating and analysing data.

Export the results of your analyses.

Learn interpretation of results

Learn how to write different research outputs including project reports, case studies, evidence briefs, policy briefs, posters among other outputs

TOPICS TO BE COVERED

Module 1: Introduction to research

Basic statistical terms and concepts

Introduction to research

Introduction to statistical concepts

Descriptive Statistics

Inferential statistics

 

Research Design

The role and purpose of research design

Types of research designs

The research process

The survey process

Survey design

Sampling techniques and sample size determination

Developing research protocol

 

Module 2: Research Approaches

Quantitative Research Approaches

Qualitative Research Approaches

 

Data Collection Methods in Research

Quantitative data collection methods- Developing of quantitative data collections tools in paper

Qualitative data collection- Developing qualitative data collection tool

Developing research protocol

 

Module 3: Mobile Data Collection and Processing using open data kit (ODK)

Introduction to mobile data gathering

Designing a questionnaire in ODK

Design of survey forms using ODK build and XLS Form

Use ODK collect to gather data

Use ODK aggregate to upload data to the server

Download data for data analysis

Exporting data to SPSS

 

Module 4: Introduction to SPSS statistical software

SPSS interface and features (Data editor, syntax, output, chart editor etc)

Data file preparation, cleaning, sorting, coding, recoding, missing values)

Data entry into SPSS

Data manipulation: merge files, spit files, sorting files, missing values

 

Basic Statistics using SPSS

Descriptive statistics for numeric variables and categorical variables

Frequency tables

Distribution and relationship of variables

Cross tabulations of categorical variables

 

Module 5: Statistical Tests using SPSS

One Sample T Test

Independent Samples T Test

Paired Samples T Test

One-Way ANOVA

 

Statistical Associations in SPSS

Chi-Square test

Pearson's Correlation

Spearman's Rank-Order Correlation

 

Module 6: Regression analysis using SPSS

Assumptions of selected types of regression

Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression

GLM Model

The Problems with regression

Linear Regression

Multiple Regression

 

Module 7: Other types of regression analysis

Logistic Regression (Probit, logit regressions)

Ordinal Regression

Poison regressions

Multinomial logit/probit regression

Module 8: Report writing

Survey report format

Survey report content

Use of survey findings for decision making

 

Module 9: Writing case study,

What is a case?

Structure of a case?

Case writing guidelines?

Case selection?

 

Elements of a good case

Simplifying writing

Good writing

Easy-to-read writing

Four ways to start writing

Writing sample cases

 

Module 10: Writing a policy brief

What is a policy brief

Purpose of policy brief

Characteristics of good policy briefs

Structural guidelines for presentation

Key elements of a policy brief

Technical guidelines for presentation of policy briefs

TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: [email protected] 

REQUIREMENTS

Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.

TRAINING FEE

Cost:

In-person USD 1600

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]

For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.

ACCOMMODATION

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

PAYMENT

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

CANCELLATION POLICY

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

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