STATISTICS


Course Credits: 3 Units

Prerequisites: Stat 123

STAT 176 - Statistical Methods in Market Research

Course Description

Market research process; design of market research; data collection techniques; data analysis using descriptive and inferential statistics in market research.

Course Learning Outcomes

By the end of this course, the student must be able to:

  1. Recognize the basic concepts of Market Research;
  2. Demonstrate proficiency in computational methods using statistical software (Excel, SPSS, and R).
  3. Apply data analysis methods using market data.
  4. Formulate research topics to address market problems; and
  5. Effectively construct written market research reports.
Course Outline

UNIT 1. Introduction

  1. What is Market Research?
  2. The Market Research Process
  3. Applications of Market Research

UNIT 2. Research Design

  1. Types of Research
  2. Research Design
  3. Data Sources

UNIT 3. Observation, Focus Group, and Other Qualitative Methods

  1. Quantitative vs Qualitative Research
  2. Observation Technique
  3. Focus Group
  4. Other Qualitative Methods

UNIT 4. Basic Concepts of Measurement and Scaling

  1. Measurement Process
  2. Scales of Measurement
  3. Validity and Reliability of Measurement
  4. Attitude Measurement

UNIT 5. Questionnaire Design

  1. Functions of Questionnaire
  2. Questionnaire Components
  3. Questionnaire Design

UNIT 6. Sampling Plan

  1. Sampling Techniques / Procedures
  2. Sample Size Determination

UNIT 7. Field Procedures

  1. Field Procedures for Data Collection Methods
  2. Errors in Field Operations

UNIT 8. Descriptive Data Analysis

  1. Measures of Central Tendency
  2. Measures of Dispersion
  3. Other Measures of Location
  4. Measure of Associations

UNIT 9. Inferential Data Analysis

  1. Tests of Hypotheses
  2. Regression Analysis
  3. Principal Component Analysis
  4. Factor Analysis
  5. Cluster Analysis
  6. Discriminant Analysis
  7. Conjoint Analysis
  8. Canonical Correlations Analysis
  9. Multivariate Analysis of Variance