Sampling Methods, Self repot techniques and Content Analysis Flashcards Preview

Psychology A2 - Research Methods > Sampling Methods, Self repot techniques and Content Analysis > Flashcards

Flashcards in Sampling Methods, Self repot techniques and Content Analysis Deck (11)
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1

What are the 4 types of sampling? (STEP)

Situation
Time
Event
Point

2

What is situation sampling?

Occurs when behaviour is observed across different circumstances and locations

3

What is time sampling?

Observations are made within a specific time period
 e.g. recording an observation of an object every minute for 30 minutes
Technique for when continuous observation of behaviour would result in too much data to record

4

What is event sampling?

When researchers observe specific behaviours or events that have been identified as being of interest to the study

5

What is Point sampling?

Researcher observes one person at a time
 allows details of observations for each subject but
may limit total number of possible observations
 time consuming

6

What is the significance of self report techniques? (what do they allow pps to do?)

They allow participants to directly provide information about themselves

7

What are the two methods of self-report techniques?

Interview (Structured e.g. cognitive, or unstructured)
Questionnaire - open or closed questions

8

What is Quantitative data?

Data that generates numbers, e.g. closed questions and potentially structured interviews

9

What is Qualitative data?

Data that is non-numerical, often focuses on thoughts, feelings and emotions, e.g. open questions and unstructured interviews

10

What is Content Analysis and what is it used for?

Can be used to convert Qualitative data to Quantitative
 It is a form of indirect observation – way to analyse content of artefacts produced by people (e.g. questionnaire responses)

11

Identify the 4 steps of content analysis

1. Choose information style to analyse
2. Decide on coding units to use when analysing the data - they must be relevant to the aim of the research
3. Analyse the data by counting how often each coding unit occurs in the material
4. The data is then in numerical form so it can be analysed as statistical (quantitative) data