WEEK SEVEN

Question 1

Resulsts section two major goals?

Answer 1

summarises findings with

• To describe/explain phenonemon of interest
• To predict aspects related to that phenonemon

Question 2

What is qualitative data analysis?

Answer 2

Inductive process
Data immersion
Requires system to manage data
Researcher looks for themes, patterns and meaning

Question 3

Difference between inductive and deductive reasoning?

NOT IN EXAM

Answer 3

INDUCTIVE
A logical process of resoning- used to develop more general rules from specific observations. Moves from specific to generalized- Qualititative

DEDUCTIVE
logical process of developing specific preditictions from gerneral principles- Quantitative

Question 4

Phenomonology

Answer 4

• Researchers immense themselves in the data, use inductive reasoning to sort, make sense of and extract meaning from the data
• Then define catergories and assign meaning
• often presented as common theme or series of themes

Question 5

Grounded theory

Answer 5

Uses techniques known as theoritcal sampling and constant comparative method

Researchers catergorise units of meaning through process comparing recorded incident to incidint till concepts emergy

Question 6

Ethnography

Answer 6

uses serverl analytic methods

ethnoscienece
life history
natural history method
network and event analysis.

Question 7

Statistical procedures:

Answer 7

give organisation and meaning to numerical data

Question 8

descriptive statistics:

Answer 8

describe, organise, summarise raw data

Question 9

Inferential statistics:

Answer 9

make predictions and generalise findings

Question 10

Two important functions of descriptive statistics?

Answer 10

1. organisation of data into figures
   - enable trends and differences to be noted and calculation of simple statistics
2. condense/reduce large quantities of numerical information into meaningful units

Question 11

Levels of measurement

Answer 11

nominal
ordinal
interval
ratio

Question 12

Nominal:

Answer 12

• Used to catergorise objects into discrete catergories

- Data neither measured nor ordered

Question 13

Ordinal:

Answer 13

• Used to show relevant ranking or events/objects

- conveys more information thant nominal

Question 14

Interval:

Answer 14

• Differences between scores/measures can be treated as equal
• There is a specific numerical distance between each of the levels
• No absolute zero

Question 15

Ratio:

Answer 15

• Also continous
• Highest level of measurement
• Do have absolute zero
• Show ranking of objects with equal intervals

Question 16

What is frequency distribution?

Answer 16

The most basic way of organising data