Question 1

The effect is called:

Accepted Answer

A)  The dependent variable. 
B)  The independent variable. 
C)  The intervening variable. 
D)  The dichotomous variable. 
A)  The dependent variable. 
B)  The independent variable. 
C)  The intervening variable. 
D)  The dichotomous variable.

Question 2

Large scale quantitative data sets can be analysed using a computer software package such as SPSS.

Accepted Answer

A) True 
 B)False

Question 3

Statistical inference uses data from a sample population:

Accepted Answer

A)  To describe the sample population. 
B)  To describe the sample and the population. 
C)  To examine the way in which a frequency is distributed. 
D)  To draw conclusions (or inferences) about the population from which the sample was drawn. 
A)  To describe the sample population. 
B)  To describe the sample and the population. 
C)  To examine the way in which a frequency is distributed. 
D)  To draw conclusions (or inferences) about the population from which the sample was drawn.

Question 4

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics.

Accepted Answer

A) True 
 B)False

Question 5

The researcher, steeped in the analysis of the data, plans the data analysis chapter/section, and constructs a framework for this chapter or section. This framework is the analytical framework for the research project.

Accepted Answer

A) True 
 B)False

Question 6

The researcher presents a synopsis of their data analysis in the data analysis chapter, the key findings, the key data, and the key interpretation they have made in relation to the data.

Accepted Answer

A) True 
 B)False

Question 7

There are different level variables, nominal variables, ordinal variables and interval variables.

Accepted Answer

A) True 
 B)False

Question 8

In quantitative analysis the unit of measurement is:

Accepted Answer

A)  The variable. 
B)  The research question. 
C)  The research statement. 
D)  The statistic. 
A)  The variable. 
B)  The research question. 
C)  The research statement. 
D)  The statistic.

Question 9

What are primary sources of data?

Accepted Answer

Primary sources of data are direct sourc

Question 10

The intervening variable is:

Accepted Answer

A)  The dependent variable. 
B)  The independent variable. 
C)  The dichotomous variable. 
D)  The means by which the independent variable affects the dependent variable. 
A)  The dependent variable. 
B)  The independent variable. 
C)  The dichotomous variable. 
D)  The means by which the independent variable affects the dependent variable.

Question 11

Quantitative data is numerical data and quantitative data analysis is the analysis of quantitative data using statistical methods.

Accepted Answer

A) True 
 B)False

Question 12

A variable is a characteristic with more than one:

Accepted Answer

A)  Statistic. 
B)  Value. 
C)  Variety. 
D)  Mathamatical equation. 
A)  Statistic. 
B)  Value. 
C)  Variety. 
D)  Mathamatical equation.

Question 13

If there are three standards in education, primary, secondary and tertiary:

Accepted Answer

A)  There is one value to code. 
B)  There are two values to code. 
C)  There are three values to code. 
D)  There are four values to code. 
A)  There is one value to code. 
B)  There are two values to code. 
C)  There are three values to code. 
D)  There are four values to code.

Question 14

A variable is a characteristic with more than one value.

Accepted Answer

A) True 
 B)False

Question 15

More complex quantitative data analysis can be carried out using a calculator or a spreadsheet, for example an Excel spreadsheet.

Accepted Answer

A) True 
 B)False

Question 16

A good way of learning how to present data is to examine how other researchers' present data. You do this be reading the published works of other researchers; a good source is the journal articles in scholarly journals.

Accepted Answer

A) True 
 B)False

Question 17

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used becomes critical. Probability sampling methods must be used.

Accepted Answer

A) True 
 B)False

Question 18

The dependent variable is what is measured in an experiment. It is the variable that responds to the independent variable.

Accepted Answer

A) True 
 B)False

Question 19

The independent variable is the variable that is introduced or acted upon in some way in the experiment in order to produce some effect on the dependent variable.

Accepted Answer

A) True 
 B)False

Question 20

Experimental design is the methodology used when conducting survey research.

Accepted Answer

A) True 
 B)False

The effect is called:

Large scale quantitative data sets can be analysed using a computer software package such as SPSS.

Statistical inference uses data from a sample population:

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics.

The researcher, steeped in the analysis of the data, plans the data analysis chapter/section, and constructs a framework for this chapter or section. This framework is the analytical framework for the research project.

The researcher presents a synopsis of their data analysis in the data analysis chapter, the key findings, the key data, and the key interpretation they have made in relation to the data.

There are different level variables, nominal variables, ordinal variables and interval variables.

In quantitative analysis the unit of measurement is:

What are primary sources of data?

The intervening variable is:

Quantitative data is numerical data and quantitative data analysis is the analysis of quantitative data using statistical methods.

A variable is a characteristic with more than one:

If there are three standards in education, primary, secondary and tertiary:

A variable is a characteristic with more than one value.

More complex quantitative data analysis can be carried out using a calculator or a spreadsheet, for example an Excel spreadsheet.

A good way of learning how to present data is to examine how other researchers' present data. You do this be reading the published works of other researchers; a good source is the journal articles in scholarly journals.

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used becomes critical. Probability sampling methods must be used.

The dependent variable is what is measured in an experiment. It is the variable that responds to the independent variable.

The independent variable is the variable that is introduced or acted upon in some way in the experiment in order to produce some effect on the dependent variable.

Experimental design is the methodology used when conducting survey research.

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Understanding Research Methods, Populations and Sampling

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Managing Data and Introducing Data Analysis

Analysing Qualitative Data

Drawing Conclusions and Writing Research

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Exam 14: Analysing Quantitative Data

The effect is called:

Large scale quantitative data sets can be analysed using a computer software package such as SPSS.

Statistical inference uses data from a sample population:

T tests, ANOVA, correlation tests, simple linear regression, multiple linear regression are all examples of inferential statistics.

The researcher, steeped in the analysis of the data, plans the data analysis chapter/section, and constructs a framework for this chapter or section. This framework is the analytical framework for the research project.

The researcher presents a synopsis of their data analysis in the data analysis chapter, the key findings, the key data, and the key interpretation they have made in relation to the data.

There are different level variables, nominal variables, ordinal variables and interval variables.

In quantitative analysis the unit of measurement is:

What are primary sources of data?

The intervening variable is:

Quantitative data is numerical data and quantitative data analysis is the analysis of quantitative data using statistical methods.

A variable is a characteristic with more than one:

If there are three standards in education, primary, secondary and tertiary:

A variable is a characteristic with more than one value.

More complex quantitative data analysis can be carried out using a calculator or a spreadsheet, for example an Excel spreadsheet.

A good way of learning how to present data is to examine how other researchers' present data. You do this be reading the published works of other researchers; a good source is the journal articles in scholarly journals.

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used becomes critical. Probability sampling methods must be used.

The dependent variable is what is measured in an experiment. It is the variable that responds to the independent variable.

The independent variable is the variable that is introduced or acted upon in some way in the experiment in order to produce some effect on the dependent variable.

Experimental design is the methodology used when conducting survey research.

Introducing Business Research

Developing Research Skills

Understanding Research Ethics

Understanding Research Philosophy

Developing a Research Proposal

Reviewing the Literature

Understanding Research Methodology and Design

Understanding Research Methods, Populations and Sampling

Using Secondary Data and Archival Sources

Using Observation

Using Interviews and Focus Groups

Using Questionnaires and Scales

Managing Data and Introducing Data Analysis

Analysing Qualitative Data

Drawing Conclusions and Writing Research

Filters