STA630 VU Quiz No 1 Fall 2012

STA630 VU Quiz No 1 Fall 2012

Question # 1

 The logic of qualitative data analysis is described as:

1: Objective

2: Subjective

3: Inductive

4: Deductive

 

Question # 2

 Which of the following is least likely to occur as an ethical problem with e-research?

1: People are not likely to be able to stop once they have begun participating.

2: Informed consent cannot be completely monitored.

3: Debriefing could be avoided.

4: Privacy could be invaded.

 

Question # 3

 

What is the first step in the research process?

 

1: Preliminary data collection

2: Problem definition

3: Theoretical framework

4: Define broad problem area

 

Question # 4

 

The number of people who complete a survey in relation to the number of people contacted to participate is called the:

 

1: Response set

2: Response rate

3: Response bias

4: Respondents

 

Question # 5

 

A researcher developed a measure of shyness and is now asking whether this measure does in fact measure a person’s true state of shyness. This is a question of:

 

1: Reactivity

2: Construct validity

3: Reliability

4: Content validity

 

Question # 6

 

The following journal article would be an example of _______ research; “The benefits of florescent lighting on production in a factory setting.”

 

1: Applied

2: Interview

3: Basic

4: Stupid

 

Question # 7

 

Which of the following is a research method that allows a researcher to get information about a large number of subjects relatively inexpensively and easily?

 

1: Naturalistic observation

2: Case study

3: Laboratory observation

4: Survey

 

Question # 8

 

The researcher protects the confidentiality in following ways, Except;

 

1: Obtaining signed nondisclosure documents.

2: Restricting access to data instruments where the respondent is identified.

3: Disclosure of data subsets.

4: Restricting access to respondent identification.

 

Question # 9

 

The independent variable is;

 

  1. The variable manipulated in order to observe its effects
  2. The variable that is measured
  3. The free spirited variable
  4. A confounding variable

 

Question # 10

 

A measure has high internal consistency reliability when:

 

  1. Multiple observers make the same ratings using the measure.
  2. Participants score at the high end of the scale every time they complete the measure.
  3. Multiple observers obtain the same score every time they use the measure.
  4. Each of the items correlates with other items on the measure.

 

Question # 11

 

When doing research involving deception with human subjects, researchers have an obligation to do which of the following?

 

  1. Tell subjects the truth about the study’s purpose and methods after the study is completed
  2. Prevent mental and physical harm to subjects
  3. Let subjects withdraw from the study at any time if they don’t want to keep participating
  4. All of the given options

 

Question # 12

 

The findings from a study of decision making processes within a UK financial services company can be generalized to:

 

  1. Decision making processes in all financial services companies
  2. Decision making processes in the all UK companies
  3. Decision making processes in the researched companies
  4. Companies all over the world

 

Question # 13

 

A variable is:

 

  1. Any characteristic of interest that can take on more than one value
  2. Defined as the groups manipulated in experimental research
  3. The complete set of scores we use in statistical analysis
  4. Completely specified only in observational research

 

Question # 14  

 

Which of the following is an example of a dilemma that might face feminist business researchers conducting qualitative interviews with women?

 

  1. What role to adopt when interviewing male managers?
  2. How many female employees should be interviewed for a representative sample?
  3. How to overcome the issue of false consciousness?
  4. What data to use when publishing findings?

 

Question # 15  

 

Research questions are crucial because they will:

 

  1. Guide your decisions about what data to collect and from where.
  2. Help you decide which research area interests you.
  3. Ensure that your findings have external validity.
  4. Prevent you from thinking about research strategies.
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