Question 1. Quantitative data refers to:

numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives.

statistical analysis.

graphs and tables.

any data you present in your report.

Question 2. Computers are useful for quantitative data analysis because:

they are fun to use.

they enable easy calculation for those of us not too good with figures.

they are so powerful.

increasingly data analysis software contain algorithms that check the data for obvious errors as it is entered.

Question 3. A pictogram is:

an illustration where each bar is replaced by a picture or series of pictures chosen to represent the data.

a photograph.

a way of measuring the impact of data presentation techniques.

a line drawing.

Question 4. A pie chart is:

only used in catering management research.

a chart demonstrating the increasing incidence of obesity in society.

an illustration where the data are divided into proportional segments according to the share each has of the total value of the data.

any form of pictorial representation of data.

Question 5. Which one of these is not a way of measuring central tendency?

Measuring the value, often known as the average, that includes all data values in its calculation (mean).

Regression analysis.

Measuring the middle value or mid-point after the data have been ranked (median).

Measuring the value that occurs most frequently (mode).

Question 6. Standard deviation is:

inappropriate in management and business research.

a way of illustrating crime statistics.

a way of measuring the extent of spread of quantifiable data.

a way of describing those phenomena that are not the norm.

Question 7. Parametric and non-parametric are:

terms used in medical practice.

general tests of statistical relevance.

alternatives to standard deviation tests.

two main groups of statistical significance tests.

Question 8. The way in which this significance is tested using both non parametric and parametric statistics can be thought of as answering one from a series of questions. Which one of the questions below is the odd one out?

Are the differences statistically significant?

Does it look statistically significant on the face of it?

Are the predicted values statistically significant?

What is the strength of the relationship, and is it statistically significant?

Question 9. Testing the probability of a relationship between variables occurring by chance alone if there really was no difference in the population from which that sample was drawn is known as:

correlation coefficients.

significance testing.

chi-squared tests.

multiple regression analysis.

Question 10. ANOVA is:

a two-way analysis of variance.

a government body which collects social statistics.

a one-way analysis of variance.

the name of a statistical software package.

Question 11. A correlation coefficient enables you to:

establish whether the data is telling you what you think it should tell you.

measure the difference between two variables.

quantify the strength of the linear relationship between two ranked or quantifiable variables.

assess whether two variables measure the same phenomenon.

Question 12. Qualitative analysis software cannot:

make report writing easier.

be done without training.

re-analyse data easily.

find concealed data.

Question 13. After the data has been collected, the researcher is left with most of these things. Which ONE of them will give information to which the researcher was not exposed during the group itself?

Participant notes.

Self-memos.

Stimulus materials.

Sound recordings.

Question 14. Analysis takes place during data collection in:

quantitative studies.

qualitative studies.

Question 15. Which is the odd one out?

PowerPoint.

QSR NVivo1.3.

Ethnograph.

NUD*IST.

Question 16. What does this define?

The key points that have emerged so far. Includes useful comments about the informants and the setting.

Summaries.

Researcher's diary.

Self-memos.

Transcripts.

Question 17. What does this define?

A formal record of your ideas and your reflections, in a chronological format, to help you identify the development of certain ideas and the way in which your methodology developed.

Summaries.

Transcripts.

Self-memos.

Researcher's diary.