Research Methodology Data Management Analysis and Reporting using SPSS
Details
Date Event
19th to 30th April 2021 Research Methodology Data Management Analysis and Reporting using SPSS10th to 21st May 2021 Research Methodology Data Management Analysis and Reporting using SPSS14th to 25th June 2021 Research Methodology Data Management Analysis and Reporting usingSPSS
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 1600
Contact us: email: [email protected] or Cell phone (+254 759 285 295)
INTRODUCTION
Research, Data Management, Graphics & statistical analysis has always been integral parts of development work and has been playing a critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge of research methodologies and application of statistical application software's to support data analysis in this era is very important. Statistical Packages for Social Sciences (SPSS) has proved to be quite useful for the purpose of data management, graphical representation, and statistical analysis of data. SPSS application is user-friendly, reduces the time and efforts of the researcher employed in the process research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS in Data Management, Graphics & statistical analysis.
DURATION
5 Days
COURSE OBJECTIVES
The training will enable participants to;
- Understand how to create and edit a data file
- Enter categorical and continuous data
- Define, label, validate and Sort variables
- Transforming, recording and computing variables
- Graphing quantitative data
- Perform descriptive and inferential data analysis
TOPICS TO BE COVERED
Module 1: Statistical Concepts and Overview of SPSS
Statistical Concepts
- Descriptive Statistics
- Common inferential statistics
Overview of SPSS
- SPSS window-dialog boxes
- File Extensions (new, Open, Open Datasets)
- Save, Save As, Import and exporting datasets
- Creating and editing a data file
Module 2: Data Entry/Management, Descriptive Statistics and Graphics
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
Descriptive Statistics: Measures of Variability and Central Tendency
- Describing quantitative data
- Describing qualitative data
Graphics using SPSS
- Chart Builder
- Graphing quantitative and qualitative data
Module 3: Quantitative Data Analysis (Part I)
Correlation
- Correlation
- Subgroup Correlations
- Scatterplots of Data by Subgroups
- Overlay Scatterplots
Regression Analysis
- Assumptions of selected types of regression
- Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression
Comparing Means
- One Sample t-tests
- Paired Sample t-tests
- Independent Samples t-tests
- Comparing Means Using One-Way ANOVA
Comparing Means Using Factorial ANOVA
- Factorial ANOVA Using GLM Univariate
- Simple Effects
Comparing Means Using Repeated Measures ANOVA
- Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
- Multiple Comparisons
Module 5: Quantitative Data Analysis (Part III)
Chi-Square
- Goodness of Fit Chi Square All Categories Equal
- Goodness of Fit Chi Square Categories Unequal
- Chi Square for Contingency Tables
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
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
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
CANCELLATION POLICY
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
Visit our website for more details
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View our Research Institute coursesFor any registration of 3 or more participants; we offer a discount of up to 10%.
Click here now to Register.For further inquiries email [email protected] or contact us on Tel: +254 759 285 295
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.
MissionA world class training and research organization for the realization of individuals, organizations and community welfare.
VisionTo 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. ...