Qualitative/Quantitative methods

Question 1

Examples of non scientific psychology

Answer 1

Pop psychology
Astrology
Folk psychology
Common sense psychology

Question 2

What differentiates scientific psychology from non scientific psychology?

Answer 2

Scientific psych Critiques each individual source, looks at both pos and neg and doesnt rely on pushing narratives appealing to the media, no reliance on social customs/personal experience

Question 3

Why study research methods?

Answer 3

Think critically
Avoid misinformation in media
Use a range of what we studied to answer a question ourselves = Methodological triangulation

Question 4

Major research topics

Answer 4

Developmental
Social
Individual differences
Biological
Cognitive

Question 5

Development psychology

Answer 5

Change and consistency over the lifetime
Eg in language, memory, cognition, emotions

Question 6

Individual differences/social psych

Answer 6

Researches group behaviours, relationships, prejudices, and how people differ due to neurodiversity etc

Question 7

Cognitive psych

Answer 7

How info is processed and organised in the brain
Memory attention perception thought and how it influences actions

Question 8

Biological psych

Answer 8

Physiological underpinning of human behaviour such as neurone activity, brain structure and the nervous system

Question 9

Qual vs Quan: data

Answer 9

Qualitative methods collect non numerical data aka lived and rich experiences of someone, includes nuances
Quantitative methids collect numerical data aka quantifying measurement

Question 10

What determines the type of data collected?

Answer 10

What we want to measure eg subjective data on the nature of phenomenum (qual) or an objective fact as a correlation/cause and effect relationship between variables (quan)

Question 11

Idiographic

Answer 11

Interested in differences and uniqueness

Question 12

Which data type is idiographic?

Answer 12

USUALLY qualitative but can still look for trends and patterns

Question 13

Nomothetic

Answer 13

Interested in patterns, laws

Question 14

What data type is nomothetic?

Answer 14

Quantitative but can still value uniqueness, eg an outlier score????

Question 15

Theoretical transfer

Answer 15

Ability the findings can be transferred to another context aka relevant under all contexts?

Question 16

Which data type aims to theoretically transfer?

Answer 16

Qualitative

Question 17

Generalisation

Answer 17

Ability to establish patterns and laws to the broader population

Question 18

What data type aims to generalise

Answer 18

Quantitative

Question 19

Qualitative research questions

Answer 19

Open ended, discovery oriented
To seek rich and detailed data on the phemonenum

Question 20

Quantitative research questions

Answer 20

Specific and focused
By prediction to complete hyppthesis testing
To seek numerical, objective data to find relationship between variables

Question 21

Qualitative data collection occurs where?

Answer 21

Often in the field , avoid lab settings

Question 22

Quantitative data collection occurs where?

Answer 22

Varies based on the method:
Surveys: online, in person
Controlled exp in labs
Naturalistic design (quasi)

Question 23

Qualitative data collection forms

Answer 23

Recordings of interviews
Observations
Diaries
Social media posts
Drawings

Question 24

Quantitative data collection forms

Answer 24

Via instruments:
Neuroimaging
Rating scales
Questionnaires
Measurements of test scores

Question 25

Emergent

Answer 25

The exact design can vary as the study progresses, eg change how u investigate based on data collected

Question 26

What data collection form is emergent?

Answer 26

Qualitative

Question 27

Is quantitative emergent?

Answer 27

No, tends to be fixed, as data collected is based on numerical values that find patterns

Question 28

Qualitative study sample size

Answer 28

Small, find rich and detailed explanations of phenomena

Question 29

Quantitative study sample size

Answer 29

Large, with the ability to generalise findings to target population

Question 30

Qualitative data analysis

Answer 30

Descriptive statistics, eg common themes or uniqueness? Interpreting the data, building on existing theories reflexivity

Question 31

Quantitaive data anaylsis

Answer 31

Statistics too: mean, median, standard deviation Inferential statistics to draw conclusions of significance/chance factors/ can be observed in whole population? Predictive to test hypotheses

Question 32

Reflexivity

Answer 32

Critically reflect on ones own characteristics assumptions and experiences and how this may impact the analysis of the data

Question 33

Qualitative studies communication

Answer 33

Abstract, introduction, methodology, analysis, discussion, references Uses quotes, images and thematic maps

Question 34

Quantitaive studies communication

Answer 34

Abstract, intro, method, analysis, discussion, references Graph/figure to summarise