Question 1

An independent variable is a variable that is predicted and/or explained by other variables.

Accepted Answer

A) True 
 B)False

Question 2

A researcher is gathering background information to familiarize himself with his new client's business environment. He is analyzing marketplace conditions and conducting interviews with employees of the company. This researcher is conducting a _____.

Accepted Answer

A)  gap analysis 
B)  pre-research analysis 
C)  basic analysis 
D)  situation analysis 
A)  gap analysis 
B)  pre-research analysis 
C)  basic analysis 
D)  situation analysis

Question 3

An interview technique that tries to draw deeper and more elaborate explanations from the discussion is called _____.

Accepted Answer

A)  probing 
B)  peeling 
C)  immersion 
D)  ethnography 
A)  probing 
B)  peeling 
C)  immersion 
D)  ethnography

Question 4

Income is an example of a(n) ______ variable.

Accepted Answer

The answer of Income is an example of a(n) ______...

Question 5

Which of the following expresses the research objectives in terms of questions that can be addressed by research?

Accepted Answer

A)  situation analysis 
B)  dependent variable 
C)  research question 
D)  independent variable 
A)  situation analysis 
B)  dependent variable 
C)  research question 
D)  independent variable

An independent variable is a variable that is predicted and/or explained by other variables.

A researcher is gathering background information to familiarize himself with his new client's business environment. He is analyzing marketplace conditions and conducting interviews with employees of the company. This researcher is conducting a _____.

An interview technique that tries to draw deeper and more elaborate explanations from the discussion is called _____.

Income is an example of a(n) ______ variable.

Which of the following expresses the research objectives in terms of questions that can be addressed by research?

The Role of Business Research

Information Systems and Knowledge Management

Theory Building

The Business Research Process

The Human Side of Business Research: Organizational and Ethical Issues

Qualitative Research

Secondary Data Research in a Digital Age

Survey Research: an Overview

Survey Research: Communicating With Respondents

Observation

Experimental Research

Measurement

Attitude Measurement

Questionnaire Design

Sampling Designs and Sampling Procedures

Determination of Sample Size: a Review of Statistical Theory

Fieldwork

Editing and Coding: Transforming Raw Data Into Information

Basic Data Analysis: Descriptive Statistics

Univariate Statistical Analysis

Bivariate Statistical Analysis: Differences Between Two Variables

Bivariate Statistical Analysis: Measures of Association

Multivariate Statistical Analysis

Communicating Research Results: Report Generation, Oral Presentation, and Follow-Up

Filters

Exam 6: Problem Definition: the Foundation of Business Research

An independent variable is a variable that is predicted and/or explained by other variables.

A researcher is gathering background information to familiarize himself with his new client's business environment. He is analyzing marketplace conditions and conducting interviews with employees of the company. This researcher is conducting a _____.

An interview technique that tries to draw deeper and more elaborate explanations from the discussion is called _____.

Income is an example of a(n) ______ variable.

Which of the following expresses the research objectives in terms of questions that can be addressed by research?

The Role of Business Research

Information Systems and Knowledge Management

Theory Building

The Business Research Process

The Human Side of Business Research: Organizational and Ethical Issues

Qualitative Research

Secondary Data Research in a Digital Age

Survey Research: an Overview

Survey Research: Communicating With Respondents

Observation

Experimental Research

Measurement

Attitude Measurement

Questionnaire Design

Sampling Designs and Sampling Procedures

Determination of Sample Size: a Review of Statistical Theory

Fieldwork

Editing and Coding: Transforming Raw Data Into Information

Basic Data Analysis: Descriptive Statistics

Univariate Statistical Analysis

Bivariate Statistical Analysis: Differences Between Two Variables

Bivariate Statistical Analysis: Measures of Association

Multivariate Statistical Analysis

Communicating Research Results: Report Generation, Oral Presentation, and Follow-Up

Filters