Research Methods Flashcards
(37 cards)
Types of correlations
Positive correlation-as one co variable increases so does the other
Negative correlation-as one co variable increases the other decreases
Zero correlation- no relationship/association between co variables
Ranges of correlation co efficients
-1.0 to +1.0
Correlation score meanings
0.8-1 strong, 0.5-0.8 mild, 0.3-0.5 weak, 0-0.3 none
Experiment vs correlation
Experiment- researcher changes IV to effect DV, IV caused any observed changes
Correlation- no manipulation of V, can’t assume one is causing other
Correlations evaluation
Useful preliminary tool,quick and cost effective no need to controlled environment ✅
Lack of manipulation and control only if but not why they are related, could be 3rd variable, can be misinterpreted but not in relationship ❌
Types of data
Primary, secondary
Qualitative, Quantitative
Primary data
Collected for study specifically by researcher from p
Data is genuine, info researcher needs, current time period✅
Time and effort❌
Secondary data
Collected by someone not researcher,not specific to experiment and researcher has no contact w p
Little time and effort✅
Not for specific purpose, can’t check authenticity or quality ❌
Qualitative data
Wordy data
Broader+more richness of detail,greater external validity have more chance to develop points✅
Difficult to analyse, hard to find patterns, conclusions may be subjective so reduce validity+reliability❌
Quantitative data
Number data
Simple to analyse higher validity and reliability ✅
Narrower in scope abs meaning as cant develop points so lower external validity❌
Measures of central tendency
Mean
More representative of data as whole✅
Easily distorted by extreme values❌
Median
Not affected by extreme scores✅
Less sensitive than mean as not all scores included❌
Mode
Easy to calculate, only measure that can be nomial(categories)✅
Not representative of data as whole and results may not have mode❌
Measures of dispersion
Range
Easy to calculate✅
Only takes into account 2 extreme values maybe unrepresentative ❌
Standard deviation- how much scores deviate from mean, difference between mean+each score,smaller(tighter spread) bigger (greater spread)
Much more precise measure✅
Can be distorted by extreme value ❌
Content analysis types
Content analysis
Thematic analysis
Content analysis
Deductive approach
Researchers know what they are looking for+ have pre conceived categories to reflect,may use tally
Thematic analysis
Inductive approach no pre conceived categories, identify themes and ideas in data, themes emerge once analysed
Content analysis strengths
Can get round ethical issues as no issues getting consent
Flexible as can produce qualitative and quantitative data
High in ecological validity
Content analysis limitations
Tells us what not why so no meaning behind data
Risk of observer bias ,interpretation of what category data is in reduces validity
Case studies
Analysis of unusual individual or event and tend to be longitudinal (over a long period)
Insight into areas psychologists can’t study through manipulation as unethical
Eg patient HM and Little Albert
Case studies strengths
Rich insight into atypical behaviour and can understand more
May generate hypotheses for future study,new ideas
Case studies limitations
Single person/small group might not apply to everyone
Researcher getting to know individuals can subjective interpretation
Can’t be replicated reduced validity
Types of interview
Structured
Unstructured
Semi structured
Structured interview
Questions decided in advance
Semi structured interview
Some pre determined questions some developed in response
Unstructured interview
General aims and possible questions, some developed in response to answers