MBA 508: RESEARCH METHODOLOGY
LECTURE 1
             INTRODUCTION
 Master Business in Administration
   Lecturer: I. Umaru TANIMU SAMINAKA, PhD
   School of Business and Public Administration
         University of The Gambia, 2020
                  OUTLINE
1.   What Is Statistics?
2.   Definition of Research
3.   Research Methods
4.   What is a Good Research ?
5.   Types of methodologies
         1. What Is Statistics?
1. Collecting Data            Data                                         Why?
     e.g., Survey            Analysis
2. Presenting Data
                                                       © 1984-1994 T/Maker Co.
     e.g., Charts & Tables
                                                               Decision-
3. Characterizing Data
                                                                Making
     e.g., Average
                             © 1984-1994 T/Maker Co.
     What is Business Statistics?
• A collection of procedures and techniques
  used to convert data into meaningful
  information in a business environment
          Statistical Procedures
• Descriptive Statistics
   – Procedures and techniques designed to describe
     data
• Inferential Statistics
   – Tools and techniques that help decision makers to
     draw inferences from a set of data
       Descriptive Procedures
• Charts, graphs, and
  tables
• Numerical measures
                     N
                     x     i
                                    Sum of all data values
         Average    i 1
                                
                       N            Number of data values
        Inferential Procedures
• Estimation
  – e.g., Estimate the average family income of all
    families in a city based on the average income of
    a sample of families in that city.
• Hypothesis Testing
  – e.g., Use sample evidence to test the claim that
    the average family income exceeds $45,000 per
    year.
      2. Definition of Research
French word ‘recherché’
Literally it means ….
 The systematic process of collecting and
   analyzing data (info) to:
• Discover new knowledge
• Verify existing knowledge
• Expand existing knowledge
The Scientific Method
             3. Research Methods
•    There are 4 methods of research
    1.   Experimental
    2.   Descriptive
    3.   Exploratory
    4.   Correlational
         3. Research Methods
• Experimental Research is the only method of
  the four that can identify cause and effect
• Experimental research consists of several
  variables:
   – Independent Variables: factors the
     experimenter manipulates
   – Dependent Variables: measurable
     behaviors of the participants
        3. Research Methods
• Experimental Research
   –Experimental Group: group that
    receives a treatment in an experiment
   –Control Group: group that receives no
    treatment in an experiment
         3. Research Methods
• Descriptive Research: includes several types
  of studies to gather data
  – Observation is used to study behavior
  – Surveys use questionnaires, and interviews to
    sample a wide variety of behaviors and attitudes
    (must choose people carefully)
  – Case study
         3. Research Methods
• Correlational Research
  – Allows Researchers to determine the degree of
    relationship between variables
  – Positive, negative and zero correlations are
    discussed when using this type of research
      4. What is a Good Research ?
A good research follows the Standards of Scientific Research
Method: a systemic, empirical based procedures for
generating replicable research.
Tenets/Principles of Scientific methods
I. Direct observation of phenomena
II. Clearly defined variables, methods and procedures
III. Empirically (Observable) testable hypotheses
IV. The ability to rule out rival hypotheses
V. Statistical rather than linguistic justification of conclusion
VI. The self-correcting process
   5. Types of methodologies
• QuaLitative Measures
  –Descriptive
  –Numbers not the primary focus
• QuaNtitative Measures
  –N for numbers
  –Statistical
  –Quantifiable
        QuaLitative Measures
• Interviews
• Observation
• Focus Groups
         QuaNtitative measures
• Compare Things
   – Comparison studies
      • Experimental and control groups
      • Program assessment using before/after
        analysis
• Count Things
• Survey People About Things
• Pre & Post Tests
        Be Critical About Numbers
                                      (Best 2001)
• “Every statistic is a way of summarizing complex
  information into relatively simple numbers.” (Best)
• How did the researchers arrive at these numbers?
• Who produced the numbers and what is their bias?
• How can key terms be defined & in how many
  different ways?
      Be Critical About Numbers
• How was the choice for the measurement
  made?
• What type of sample was gathered & how
  does that affect result?
• Is the statistical result interpreted correctly?
• If comparisons are made, are they
  appropriate?
• Are there competing statistics?