Research Methods Week 5 PDF
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This document is on research methods and specifically discusses different types of behavior measurements (nominal, ordinal, interval, ratio) along with different sampling techniques. It covers various concepts in social sciences research.
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Research Methods Week 5 Measuring Behavior Scales of measuring behavior - Nominal - Ordinal - Interval - Ratio - Each extends on previous Nominal scales - Distinct category - “This is that” - Means name - Least amount of info on behavior,...
Research Methods Week 5 Measuring Behavior Scales of measuring behavior - Nominal - Ordinal - Interval - Ratio - Each extends on previous Nominal scales - Distinct category - “This is that” - Means name - Least amount of info on behavior, least precise - Ex. study examines if women are more likely to give her number to a man with a dog. Nominal category is “with or without dog” Ordinal scales - Ordered categories - Can't quantify magnitude of difference - Ex. “top 10 scariest movies of all time” Interval scale - Numerical ordered intervals, same distance apart but no clear 0 - Defining feature: no clear 0 (score 0 another point on the scale, doesn’t mean “nothing”) - Can’t do magnitude comparison (ex. twice as many) - Most used in psychology research - Ex. temperature being 0 isn’t no temperature, it means cold Ratio scale - Have a true zero- complete absence of something - Can have ratio comparison (ex. Twice as likely) - Ex. number of words recalled- can have 0 number of words recalled Mean, Median and Mode - Measures of central tendency: number that tells us what’s in the middle - Mean: average, add all numbers and divide by 10 - Median: middle values, order all numbers see what’s in middle - Mode: number that occurs the most Reliability - Consistency of a measure (repeatability) - Lack can lead to errors in conclusions or claims Validity - Truth and accuracy - Does the test measure what it claims to measure - If the measure is reliable, doesn’t mean valid - If a measure is valid, it’s automatically reliable Sample - take a part of population - Well defined and unbiased - Representativeness can determine or limit inferences - Reasons: economics, time, manageability and control - Population: everyone Types of sampling - Non probability: not random - Purposive: purposely choosing a particular characteristic, problems with researcher bias Snowball: referral and networking (friend of a friend)- problems with sample bias - Probability: random - Stratified: population divided in subgroups - Proportionate stratified: random from each subgroup based on proportion in population - Cluster: naturally occurring groups Validity of research - Internal validity: truth in the study- IV explains the behavior of DV (ex. If you have a dog, you are more likely to get girls) - External validity: truth in real life Research Methods Week 6 Confounds History - Unplanned, uncontrolled event outside that affects DV - More likely in longitudinal - Ex. COVID Maturation - Natural process in participant’s life that impact dependant variable - Ex. development - More likely in longitudinal studies Selection bias - Bias and unequal ways of grouping subjects - Groups must be equal in all ways except for Independent variable - Previous experience/culture of subjects impacts studies - Executive Monkey test: shocked monkeys, one could pull a lever to stop shock, other couldn’t, found executive monkey developed ulcers. Wanted to study if executives of a company got more ulcers. Found selection bias through monkeys pre-tested to see which pulled leveler faster, faster pulled the lever were executive monkeys. Study replicated and found opposite results Attrition - Participant mortality- when they drop out of study - Problematic if there is a systematic pattern to people dropping out - Sample at start no longer equivalent to sample at end of study External validity - Results of study generalize to context outside of research context - Does study applies to real world - Externally valid studies generalize to other population, environments, points in time - Must generalize to population; socioeconomic status, ages, education level Other population - Can’t generalize to entire population, but can with a varied sample - Study found 68% from US, 96% from western countries - Students were WEIRD: western, educated, industrialized nations, rich, democratic - Can generalize when doing research with basic processes (ex. Vision, hearing) Other environments - Generalize to outside environments outside of lab - Ecological validity: need to apply basic principles to real life situations (ex. Attention and eyewitness testimony) Other times - Generalize to other time period - Conformity study- Asch, perceptual judgment study on lines to test if confederate says wrong answer participant will follow - Social factors that influence conformity: one person didn’t conform, size of majority, anonymity - In general, basic processes stand tests of time compared to social processes