Research Methods Flashcards

(50 cards)

1
Q

Qualitative data

A

Non-numerical info, nominal or ordinal data
Methods of collection: interviews, focus groups, observations
Example: background info for comp, neighborhood, or transportation plan

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

ordinal v nominal data

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Quantitative data

A

numerical; interval or ratio data
Methods of collection: surveys, censuses, records; to id patterns/correlations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

continuous v discrete data

A

continuous= a range of values which can change ie. time; ie. height, GPA
discrete= one single measurement, finite number of values; ie. # of people

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

interval v ratio scale

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

mean

A

average- total of #s divided by amount of #s

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

median

A

middle value of #s when in order

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

mode

A

value that shows up the most (most repeated value)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

range

A

largest # - smallest #

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

standard deviation

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

variance

A

measure of dispersion, how far a set of numbers is spread out from their average value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

z-score

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Independent v dependent variable

A

Ind= cause, what the researcher wants to explain
Dep= effect, its value depends on changes in ind variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Linear regression

A

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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

decennial census

A

Every 10 years
age, sex, race, Hispanic origin, migration, ancestry, language use, veterans
population estimates and projections

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

American Community Survey (ACS)

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Experiential learning

A

Hands-on experience in communities; chance to apply theoretical concepts to real world contexts
Methods: fieldwork, case studies, simulations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Participant observation/ethnography

A

research methodology where the researcher is immersed in the day-to-day activities of the participants

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Oral Histories

A

Personal stories & firsthand accounts; documents historical and cultural elements of community

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

experimental
quasi/non-experimental
mixed-methods

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Case study v pilot study

A

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

22
Q

Precedents & examples

A

Examine previous projects, case studies and models for references

23
Q

Best Practices

A

Methods that are superior alternatives; proven to work and provide optimal results
Usually seen as APA guides; PAS reports

24
Q

Analysis & Reporting

A

Examining data and info to draw conclusions; both qualitative and quantitative

25
Surveying
Techniques: questionnaires, interviews, observational studies *relevance of info depends on collection method
26
Sources of Data
Where the info comes from Sources: census, gov reports, surveys, academic studies, spatial data, community feedback *good sources = better data = better decisions
27
Metadata
Data about data; will enhance usability and speak to reliability of the data
28
Unconscious bias
social stereotypes formed outside an individual’s own awareness *this may affect research and in turn effected communities
29
GIS
Used to capture, store, manipulate, analyze, manage, and present spatial or geographical data. Helps to visualize and interpret spatial relationships, patterns, and trends, facilitating informed decision-making Layered data
30
Mapping
Visual rep of spatial data must have - N arrow, scale, legend, title, credits
31
Spatial analysis
Modeling location-specific problems, identifying patterns, and assessing spatial data to make decisions
32
Remote sensing
detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance
33
Cadastral maps
precise and comprehensive data about specific land parcels in a certain area ie. plat maps
34
Modeling
Representations of urban environments to simulate and analyze spatial dynamics Can predict impact of planning scenarios on transportation, land use, environmental sustainability, and urban growth
35
Relevance
Does the data directly address questions and objectives? Needs to to inform effective decisions
36
Validity
Degree to which a study accurately reflects the specific concept intended to measure Want high validity
37
Reliability
Consistency of a measure or method; you get same results under consistent conditions You want dependable data, to greatest extent possible
38
Data quality
Assessed via accuracy, completeness, reliability, and relevance Essential to produce valid research outcomes
39
Implicit bias in data
Could be bias in the actual collection of info, ensure this doesn’t happen so data is accurate
40
Passive data gathering
collection w/out direct interaction to understand conditions and trends Ie. traffic cameras, social media, sensors, public records
41
Active data gathering
Direct engagement with participants to actively solicit information Ie. surveys, interviews, focus groups: Field research
42
Community involvement in data collection
Engaging residents & stakeholders in the planning process; must know their needs, concerns, preferences Ie. public meetings, workshops, community advisory boards
43
Stakeholder engagement
identifying, understanding and involving people who have a stake in the outcome of the plan includes ongoing communication, listening, and collaboration
44
Civic engagement
focuses on participation in either political activities, community activities or both for the good of the whole community
45
Alinsky organizations (Saul Alinsky)
Community members participate, lead, and engage in change-making, rather than acting as observers through employing social action *helped poor people fighting power and privilege
46
Ladder of Citizen Participation
citizen involvement in planning processes showed participation ranging from low to high 1 Manipulation and 2 Therapy. Both are non participative. The aim is to cure or educate the participants. The proposed plan is best and the job of participation is to achieve public support through public relations. 3 Informing. A most important first step to legitimate participation. But too frequently the emphasis is on a one way flow of information. No channel for feedback. 4 Consultation. Again a legitimate step attitude surveys, neighborhood meetings and public enquiries. But Arnstein still feels this is just a window dressing ritual. 5 Placation. For example, co-option of hand-picked ‘worthies’ onto committees. It allows citizens to advise or plan ad infinitum but retains for power holders the right to judge the legitimacy or feasibility of the advice. 6 Partnership. Power is in fact redistributed through negotiation between citizens and power holders. Planning and decision-making responsibilities are shared e.g. through joint committees. 7 Delegation. Citizens holding a clear majority of seats on committees with delegated powers to make decisions. Public now has the power to assure accountability of the program to them. 8 Citizen Control. Have-nots handle the entire job of planning, policy making and managing a program e.g. neighborhood corporation with no intermediaries between it and the source of funds.
47
4. Privacy & Confidentiality concerns w/ data
Ethical and legal obligations to protect individuals’ personal info, to ensure trust and compliance Ie. anonymizing data, obtaining informed consent, follow data protection regulations
48
Participatory Action Research (PAR) techniques
engaging community members as active participants in research process through cycles of reflection – data collection – action
49
Survey design & implementation for community feedback
Questionnaires need to be clear, unbiased and relevant Select appropriate distribution methods ie. online v in person, to get max engagement Max engagement = more valuable insights = informed decision making
50
Focus groups & community workshops
Interactive sessions to discuss planning issues, need to be diverse to have all perspectives id needs & build consensus Facilitates open dialogue & fosters community involvement