The Business Research Process: An Overview

Slides:



Advertisements
Similar presentations
Correlation and regression Dr. Ghada Abo-Zaid
Advertisements

McGraw-Hill/Irwin Copyright 2006 by The McGraw-Hill Companies, Inc.
Correlation AND EXPERIMENTAL DESIGN
Correlation CJ 526 Statistical Analysis in Criminal Justice.
Studying Behavior. Midterm Review Session The TAs will conduct the review session on Wednesday, October 15 th. If you have questions, your TA and.
Causal Comparative Research: Purpose
Marketing Research MR2300 Paul Tilley. What is Marketing Research? Marketing research is the systematic and objective process of gathering information.
10. Introduction to Multivariate Relationships Bivariate analyses are informative, but we usually need to take into account many variables. Many explanatory.
Research Methods in Crime and Justice Chapter 5 Causality.
Theoretical Framework
Chapter 15 – Elaborating Bivariate Tables
Soc 3306a Lecture 8: Multivariate 1 Using Multiple Regression and Path Analysis to Model Causality.
Causal Research Design: Experimentation. Concept of Causality A statement such as "X causes Y " will have the following meaning to an ordinary person.
1 10. Causality and Correlation ECON 251 Research Methods.
Making Choices: An Introduction to Career Planning Career Development Centre University of Ulster.
Chapter Eight. Lecture plan Concept of Causality Conditions for Causality What is Experimentation? Lab versus Field Experimentation Validity in Experimentation?
THEORETICAL FRAMEWORK and Hypothesis Development
STUDYING BEHAVIOR © 2009 The McGraw-Hill Companies, Inc.
4 ©2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Overview of Research Designs
Making Sense of the Social World 4th Edition
METHODS IN BEHAVIORAL RESEARCH NINTH EDITION PAUL C. COZBY Copyright © 2007 The McGraw-Hill Companies, Inc.
Describing Relationships: Scatterplots and Correlation.
10. Introduction to Multivariate Relationships Bivariate analyses are informative, but we usually need to take into account many variables. Many explanatory.
CORRELATIONS: PART II. Overview  Interpreting Correlations: p-values  Challenges in Observational Research  Correlations reduced by poor psychometrics.
1 How Services Differ from Goods Intangible Inseparable Heterogeneous Perishable No physical object makes it hard to communicate benefits. Production and.
Unit 5E Correlation and Causality. CORRELATION Heights and weights Study Time and Test Score Available Gasoline and Price of Gasoline A correlation exists.
S AY WHAT YOU SEE W HAT EFFECT DO BUSINESS DECISIONS HAVE ON STAKEHOLDERS S TAKEHOLDERS.
7 Training Employees What Do I Need to Know?
CHAPTER-3 RESEARCH DESIGNS Shrikant Diwan.
MKT 300 Research Methods for Business Mishari Alnahedh
Making Sense of the Social World 4th Edition
2.7 The Question of Causation
© 2010 Jones and Bartlett Publishers, LLC
BUSINESS MARKET RESEARCH
Chapter 10 Causal Inference and Correlational Designs
Chapter 1 Economics: The Study Of Opportunity Cost
Cautions About Correlation and Regression
Chapter 4: Studying Behavior
Sociological Research Methods
TEN PRINCIPLES OF ECONOMICS
Detecting Causal Relations
Understanding Standards Event Higher Statistics Award
Overview of Research Designs
Economic Activity and Productivity
Making Causal Inferences and Ruling out Rival Explanations
Introduction to Design
[ 7.3 ] Economic Growth Learning Objectives
Research Methods in Psychology
Warm-up True or False If only the price changes, the entire demand curve will move. Gaining or losing income will cause the demand curve to move right.
Correlation and Causality
Empirical Tools of Public Finance
Cautions about Correlation and Regression
Day 49 Causation and Correlation
An Introduction to Correlational Research
Chapter 01 Economics: The Study of Opportunity Cost
Chapter 3 The Idea Of Causation on Social Research
Does Association Imply Causation?
Pricing Decisions and Cost Management
Business Research Methods
Section 6.2 Establishing Causation
M2 and D1 Unit 7- Sociological Perspectives Task M2 and D1
Topic 3: Demand, Supply, and Prices
6 Chapter Training Evaluation.
Chapter 9 Career Planning.
1.1 Research Methods and techniques
Enhancing Causal Inference in Observational Studies
Concepts to be included
Enhancing Causal Inference in Observational Studies
Chapter 01 Economics: The Study of Opportunity Cost
Presentation transcript:

The Business Research Process: An Overview Research Methods in Management The Business Research Process: An Overview Causality in research

Causal Research Research conducted to identify cause and effect relationships (inferences). Cause Effect

Causal Research Cause 1 Problem Cause 2 Cause 3

(Unidirectional relationship) A B (1) A causes B (Unidirectional relationship)   A B (2) B causes A  (Unidirectional relationship) A B (3) A and B cause each other (Bidirectional relationship)   A B (4) A and B just correlate (The direction of causality cannot be implied) A B

Reverse causation Reverse causality means that the direction of causality between two factors may be opposite from what we expect OR

Having money allows people to gain access to better healthcare service Reverse causation Example: Considered the relationship between “Income” and “Health” ..which one is the cause? ..which one is the effect? Having money allows people to gain access to better healthcare service Income Health Having good health allows people to be more productive to earn more money

Companies need loan to grow their business Reverse causation Example: Considered the relationship between “the amount of bank loan” and “business growth” ..which one is the cause? ..which one is the effect? Companies need loan to grow their business Loan amount Business growth As business is growing, companies can obtain higher amount of loan from the bank

Job satisfaction makes employees have better job performance Reverse causation Job satisfaction Job performance Job satisfaction makes employees have better job performance Job satisfaction Job performance Having good job performance will make an employee satisfied more with a job

Reverse causation Job satisfaction Job performance Reverse causality makes it difficult for researchers to infer the direction of causality between job satisfaction and job performance

Evidence of causality Temporal sequence Concomitant variation Nonspurious association

Evidence of causality Temporal sequence—the appropriate causal order of events. Cause Effect Happened at Time t (e.g. year 2000) Happened at Time t+1 (e.g. year 2001) Cause Effect Happened at Time t-1 (e.g. year 2001) Happened at Time t (e.g. year 2000)

Evidence of causality Concomitant variation—two phenomena vary together. Occur when two events “covary” or “correlate”

Evidence of causality Nonspurious association—an absence of alternative plausible explanations. For example: There is a positive relationship between “ice cream sales” and “murder cases”. When ice cream sales increase, murder cases increase. When ice cream sales drop, murder cases reduce.

EXHIBIT 4.2 The Spurious Effect of Ice Cream

Association does not imply causation a correlation between two variables does not necessarily imply that one causes the other.

Different types of effect Main effect Moderating (interacting) effect Mediating effect

Main Effect The influence of a single independent variable on a dependent variable. Independent Variable (X) Dependent Variable (Y) Main effect

Moderating effect Moderating effect The effect of the independent variable (cause) on the dependent variable (effect) is contingent on the third factor which can either enhance or suppress the effect. The third factor that influences the relationship is called a “moderator”.

Interaction (Moderating) effect Moderator Moderating effect Independent Variable (X) Dependent Variable (Y) Main effect

Number of training sessions Moderating effect Does a training program increase sale performance? Number of training sessions Sale performance

Moderating effect Young employees Old employees

Moderating effect Young employees Old employees

Interaction (Moderating) effect Age of employee “moderates” the effect of training program on sale performance. Only “young employees” who “received more training” tend to have higher sale performance Age of employee Number of training sessions Sale performance

Does using social media at work affect job performance? Social media use at work Job performance

Social media use at work Do employees who have higher job stress benefit more from using social media during work than employees who have lower job stress? Job demands Social media use at work Job performance

Access from PC or Mobile gadgets Social media use at work Do employees who access to social media from PC benefit from using social media during work more than employees who access from mobile gadgets? Access from PC or Mobile gadgets Social media use at work Job performance

Social media is prohibited at work Social media use at work Do employees who work for a firm that allow social media at work obtain more benefit than employee who work for a firm that prohibit social media at work? Social media is prohibited at work Social media use at work Job performance

Access from PC or Mobile gadgets Social media is prohibited at work Social media use at work Job performance Job demands

Mediating effect X does not influence Y directly. But it can influence Y indirectly through a third variable called a “Mediator” M mediates the relationship between X and Y Mediator Independent Variable (X) Dependent Variable (Y)

Mediating effect Full mediation occurs when the direct relationship between the independent variable and the dependent variable disappear when the mediator is included. Partial mediation occurs when the direct relationship between the independent variable and the dependent variable is still strong even when the mediator is included.

Full mediation Strong Strong relationship relationship Mediator Strong relationship Strong relationship Independent Variable (X) Dependent Variable (Y) Weak relationship or no relationship Full mediation

Partial mediation Strong Strong relationship relationship Mediator Strong relationship Strong relationship Independent Variable (X) Dependent Variable (Y) Strong relationship Partial mediation

Example of mediating effect 1 The level of knowledge does not directly explain career success Level of knowledge Career success Positive but weak

Example of mediating effect 1 Conclusion: Ability to apply knowledge is the mechanism that explains why a person with high level of knowledge can be successful in their career. Ability to apply knowledge Level of knowledge Career success Positive but weak Ability to apply knowledge “fully mediates” the link between Level of knowledge and Career success

Example of mediating effect 2 Perceived product quality Buying decision Positive and strong

Example of mediating effect 2 Conclusion: Perceived product quality can influence buying decision directly and indirectly through product satisfaction Product satisfaction Perceived product quality Buying decision Positive and strong Product satisfaction “partially mediates” the link between Perceived product quality and buying decision