Research Methods Flashcards
(50 cards)
Qualitative data
Non-numerical info, nominal or ordinal data
Methods of collection: interviews, focus groups, observations
Example: background info for comp, neighborhood, or transportation plan
ordinal v nominal data
nominal = non-numerical, non ranked ie. male or female, single or married
-weak measurement can’t use mean etc.
non-numerical = ranked categories in orders
Quantitative data
numerical; interval or ratio data
Methods of collection: surveys, censuses, records; to id patterns/correlations
continuous v discrete data
continuous= a range of values which can change ie. time; ie. height, GPA
discrete= one single measurement, finite number of values; ie. # of people
interval v ratio scale
interval= dif b/w numbers but no 0, i.e. temperature, properties of magnitude
ratio= dif b/w number has absolute zero point, used for ordering numbers
mean
average- total of #s divided by amount of #s
median
middle value of #s when in order
mode
value that shows up the most (most repeated value)
range
largest # - smallest #
standard deviation
Average amount of variability in your dataset. *sq root of variance
On average, how far each value lies from the mean.
high standard deviation = values are generally far from the mean
low standard deviation i= values are clustered close to the mean
variance
measure of dispersion, how far a set of numbers is spread out from their average value
z-score
of standard deviations a value is from the mean of a given distribution; ids outliers in a set of data
negative z-scores = value lies below the mean
positive z-scores = value lies above the mean
Independent v dependent variable
Ind= cause, what the researcher wants to explain
Dep= effect, its value depends on changes in ind variable
Linear regression
Finding best fitting line between data points plotted on graph y=bx+a
y= predicted score, b=slope of line, a=Y intercept
Used to find relationship b/w 1 dep variable and 1 or more ind variables
*dif from T-test (hypothesis test) = if dif b/w averages of two groups are significant or not)
decennial census
Every 10 years
age, sex, race, Hispanic origin, migration, ancestry, language use, veterans
population estimates and projections
American Community Survey (ACS)
Nationwide survey used to understand changes in the population (3.5 mil sample size)
detailed social and economic characteristics; education, housing, jobs, and more
Help policymakers, planners, business owners, to make decisions
Experiential learning
Hands-on experience in communities; chance to apply theoretical concepts to real world contexts
Methods: fieldwork, case studies, simulations
Participant observation/ethnography
research methodology where the researcher is immersed in the day-to-day activities of the participants
Oral Histories
Personal stories & firsthand accounts; documents historical and cultural elements of community
experimental
quasi/non-experimental
mixed-methods
experimental = manipulating one variable to determine if this causes changes in another variable, random assignment
quasi/non-experimental = manipulation but not random assignment
mixed-methods = both quantitative and qualitative data used within the same study
Case study v pilot study
Case study= study of specific group, very small scale, on existing conditions, can gain general knowledge
Pilot study = Small implementation before larger project, can give insight to pros & cons
Precedents & examples
Examine previous projects, case studies and models for references
Best Practices
Methods that are superior alternatives; proven to work and provide optimal results
Usually seen as APA guides; PAS reports
Analysis & Reporting
Examining data and info to draw conclusions; both qualitative and quantitative