Deck 14: Analysing Quantitative Data

Question 1

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

Answer 1

True

Question 2

A variable is a characteristic with more than one value.

Answer 2

True

Question 3

Statistics are used in quantitative data analysis for two purposes, description, using descriptive statistics, and prediction, using inferential statistics.

Answer 3

True

Question 4

Basic quantitative data analysis can be carried out by simply adding up of summarising the numbers in a data set.

Question 5

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

Question 6

Descriptive statistics are used to describe the data gathered.

Question 7

In quantitative data analysis the unit of measurement is the variable.

Question 8

Experimental design is the methodology used when conducting survey research.

Question 9

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

Question 10

CADA, as well as facilitating data analysis, also served as a tool for managing data.

Question 11

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

Question 12

A dichotomous variable is one that has only two values.

Question 13

In true experiments, the independent variable is manipulated to test whether or not it has an effect on the dependent variable.

Question 14

A variable is a characteristic with more than one value.

Question 15

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.

Question 16

The analytical framework is the third framework in the four frameworks approach to the research project.

Question 17

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.

Question 18

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

Question 19

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.

Question 20

Loading data for analysis into a software package is simple work but very precise work. It takes time.

Question 21

The effect is called:

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

Question 22

The mean is:

A) The arithmetic average.
B) The most commonly occurring value in a range of values.
C) The middle value in a range of values.
D) The last value in a range of values.

Question 23

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.

Question 24

A variable is a characteristic with more than one:

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

Question 25

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

Question 26

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

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

Question 27

Summarising statistics are:

A) Examples of descriptive statistics.
C) Examples of probability testing.
B) Examples of inferential statistics.
D) Examples of hypothesis testing.

Question 28

The intervening variable is:

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 29

Inferential statistics are used to infer, based on the study of a sample of the population, what the entire population might think or do.

Question 30

In quantitative analysis the unit of measurement is:

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

Question 31

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

Question 32

Gender is a variable. In general, it has:

A) One value.
C) Three values.
B) Two values.
D) Four values.

Question 33

Statistics are used in quantitative data analysis for two purposes:

A) Description and interpretation.
B) Conclusion and theorisation.
C) description, using descriptive statistics, and prediction, using inferential statistics.
D) Mathamatical manipulation and decision making.

Question 34

A dichotomous variable has:

A) One value.
C) Three values.
B) Two values.
D) Four values.

Question 35

The researcher presents the analytical framework in:

A) The introduction to the research project.
B) The literature review.
C) The research methodology chapter or section.
D) In the data analysis chapter or section.

Question 36

Descriptive statistics are used:

A) In inference.
C) In hypothesis testing.
B) In probability testing.
D) To describe data.

Question 37

The assumed cause is:

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

Question 38

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

Question 39

Each variable in the data gathered can be described using:

A) Inferential statistics.
C) Probability testing.
B) Descriptive statistics.
D) Hypothesis testing.

Question 40

The analytical framework is:

A) The first framework in the four frameworks approach to research.
B) The second framework in the four frameworks approach to research.
C) The third framework in the four frameworks approach to research.
D) The fourth framework in the four frameworks approach to research.

Question 41

Statistical inference uses data from a sample population:

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 42

Hypothesis testing is commonly used in research in:

A) Probability sampling.
B) Measuring central tendency.
C) Measuring dispersion.
D) Drawing inferences about a population based on statistical analysis of data drawn from a sample of that population.

Question 43

Percentages, ratios, proportions, and frequency distributions are all examples of:

A) Measures of central tendency.
C) Inferential statistics.
B) Measures of dispersion.
D) Descriptive statistics.

Question 44

Secondary source data is particularly useful to researchers who cannot access primary sources. Explain this statement.

Question 45

The mode is:

A) The arithmetic average.
B) The most commonly occurring value in a range of values.
C) The middle value in a range of values.
D) The last value in a range of values.

Question 46

The median is:

A) The arithmetic average.
B) The most commonly occurring value in a range of values.
C) The middle value in a range of values.
D) The last value in a range of values.

Question 47

When a researcher engages in quantitative analysis using inferential statistics, the sampling method used in selecting participants for the research project becomes critical. :

A) Probability sampling methods must be used
B) Non probability sampling methods must be used.
C) Purposive sampling methods must be used.
D) Judgemental sampling methods must be used.

Question 48

What are primary sources of data?

Question 49

What are secondary sources of data?

Question 50

Inferential statistics are used in:

A) Inference. They are used to infer, based on the study of a sample of a population, what the entire population might think, or do.
B) Description. They are used to describe data.
C) Measuring central tendency.
D) Measuring dispersion.

Question 51

The standard deviation measures:

A) The spread of data about the mean.
C) The mode.
B) The mean.
D) The median.

Question 52

The range is:

A) A measure of central tendency.
B) The most commonly occurring value in a range of values.
C) The middle value in a range of values.
D) The minimum and maximum value in a range of data.

Question 53

The mean, mode and median are:

A) Measures of central tendency.
C) Measures of distance.
B) Measures of dispersion.
D) Measures of height.