Data

Question 1

What is qualitative data?

Answer 1

Information not in numerical form.

Question 2

What is quantitative data?

Answer 2

Information in numerical form.

Question 3

What are the types of quantitative data?

Answer 3

Nominal-> Categorical.
Ordinal-> Subjectively ranked.
Interval-> Scaled with set and known increments.

Question 4

What does standard deviation show?

Answer 4

The variation in data.

Question 5

What is a non-experimental technique? An example?

Answer 5

No IV or DV required.
Questionnaires.

Question 6

What are self-report methods?
Two examples?

Answer 6

They rely on participants to truthfully report their own feelings/emotions.
Questionnaires, interviews.

Question 7

What are the different types of questions?

Answer 7

Closed, open, likert scale, rating scale, identifying characteristics.

Question 8

What is a closed question?

Answer 8

Question with options to choose an answer from.

Question 9

What is an open question?

Answer 9

Question that requires elaboration on an answer.

Question 10

What is a likert scale question?

Answer 10

Ordinal scale used to measure levels of agreement from 1-5 or 1-7.

Question 11

What is a rating scale question?

Answer 11

The participant must assign values to categories.

Question 12

What is an identifying characteristics question?

Answer 12

Participant must select the characteristics which apply to them.

Question 13

What is a pilot study and what is it used for?

Answer 13

When a questionnaire or interview is carried out on a small group before the real sample.
To test questions for clarity and understanding.

Question 14

What is thematic analysis?

Answer 14

A method for identifying, analysing, and reporting patterns/themes within qualitative data.

Question 15

What are the different types of thematic analysis?

Answer 15

Deductive-> deciding on what themes to look for before seeing data.
Inductive-> seeing data and then identifying any themes present.

Question 16

What are the stages of inductive analysis?

Answer 16

Familiarisation with data.
Generate initial codes and key terms.
Search for themes amongst codes.
Review themes (check if there is enough data).
Name and define themes.
Produce a final report.

Question 17

Two advantages of thematic analysis?

Answer 17

No data collection required as secondary data used so less time consuming.
Reduces large amount of data into a more manageable chunk so easier to understand.

Question 18

Two disadvantages of thematic analysis?

Answer 18

Takes skill and time so less likely to be repeated and less reliable.
Subjective so less valid.

Question 19

What is a correlational study?

Answer 19

Using secondary ordinal data to measure relationships between co-variables.

Question 20

What is correlation coefficient?

Answer 20

A number between 1 and -1 describing correlation.

Question 21

What are the three types of interviews?

Answer 21

Structured, semi-structured, unstructured.

Question 22

What is a structured interview? A strength and a weakness?

Answer 22

All participants are asked the same questions.
Standardised.
Less information as no follow-up questions.

Question 23

What is a semi-structured interview? A strength, a weakness?

Answer 23

The researcher is able to ask follow up questions based on the participants answer.
Gathers both types of data so thematic and statistical analysis.
Tome consuming so less reliable.

Question 24

What is an unstructured interview? A strength, a waekness?

Answer 24

Only a general topic in mind with no set questions.
Freedom with questions so more information gained.
Not standardised as each participant has a different set of questions.