Course Overview
In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision-making. The availability of several datasets and research techniques opens the gateway to conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge of the methodology of conducting research and use of SPSS as a research, data management and analysis tool is very beneficial for the researchers.
Upon completion of this SPSS short course on research design, data management and statistical Analysis , the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data.
Course Duration
10 Days
Who Should Attend
- Researchers, academics, and students involved in quantitative research.
- Data analysts and statisticians seeking to enhance their skills in SPSS.
- Professionals from various fields such as social sciences, health, education, and business who need to analyze data and interpret statistical results.
- Individuals who are new to SPSS and wish to gain practical experience in using the software for data analysis.
Course Objectives
By the end of this course, participants will be able to
- Understand the principles and methodologies of research design.
- Formulate research questions and hypotheses.
- Design and implement surveys and experiments.
- Collect, manage, and clean data using SPSS.
- Perform descriptive and inferential statistical analyses using SPSS.
- Interpret and report the results of statistical analyses.
- Apply appropriate statistical techniques to different types of data.
- Enhance their decision-making and problem-solving skills using statistical evidence.
- Create visual representations of data and statistical results.
- Develop a comprehensive understanding of SPSS functionalities and tools.
Course Outline:
Introduction to research
- Introduction to research
- Different types of research
- Formulation of research problem statement
- Formulation of research hypothesis
Overview of Evaluation
- Evaluation Objectives
- Evaluation Criteria
- Evaluation Questions
Research Design
- Quantitative Research Approaches
- Qualitative Research Approaches
Sampling
- Sampling Techniques
- Probability
- Non-probability
- Sample size determination
Data Collection Methods in Research
- Quantitative data collection methods
- Qualitative data collection
- Creating an evaluation framework
Data Collection tools in Research
- Survey Questionnaire design
- FGD guide design
- KII guide design
Developing Research Protocol
- What is a research protocol?
- Basic concepts of a research protocol
- Structure of a research protocol
Mobile Data Collection and Processing (ODK)
- Introduction to mobile data gathering
- Design of survey forms using ODK build and XLSForm
- Use ODK collect to gather data
- Use ODK aggregate to upload data to the server
- Work with spatial data (GPS coordinates)
Introduction to SPSS statistical software
- SPSS interface and features
- Key terminologies used in SPSS
- Views: Variable, Data views, Syntax editor
- Data file preparation
- Data entry into SPSS
- Data manipulation: merge files, spit files, sorting files, missing values
Basic Statistics using SPSS
- Descriptive statistics for numeric variables
- Frequency tables
- Distribution and relationship of variables
- Cross tabulations of categorical variables
- Stub and Banner Tables
Graphics using SPSS
- Introduction to graphs in SPSS
- Graph commands in SPSS
- Different types of Graphs in SPSS
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
Predictive Models using SPSS
- Linear Regression
- Multiple Regression
- Logistic Regression
- Ordinal Regression
Longitudinal Analysis using SPSS
- Features of Longitudinal Data
- Exploring Longitudinal data
- Longitudinal analysis for continuous outcomes
Qualitative Data Analysis using NVivo
- Introduction to NVivo
- NVivo workspace
- Uploading qualitative data into NVivo
- Coding and making nodes
- Use of queries
- Project visualization
Survey Report writing and Dissemination
- Survey report format
- Survey report content
- Survey findings dissemination
- Use of survey findings for decision making
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
A certificate from Ideal Workplace Solutions is awarded upon successful completion.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to [email protected].
For further inquiries, please contact us on details below:
