Final Exam Material Flashcards
(100 cards)
what is data sourcing?
(also known as data collection) is the process of extracting data from external or internal sources
data sources include: enterprise databases (historical data, customer sign-up information), web data (web pages, social media), mobile data (apps, GPS), government data, and survey data
why use surveys as a data sourcing model?
efficient way to collect information about a large group of people, flexible medium that can measure attitudes/knowledge/preferences/etc., standardized–so less susceptible to error, easy to administer, can be tailored exactly by the topic you wish to study
keys to effective surveying
begin with clear purpose, know what you want to be able to do with the data ahead of time, identify the most logical group to survey
parts of a survey: title
should reflect the content of the survey, be easy to understand, and be concise
parts of a survey: introduction statement
provides brief summary of survey’s purpose, includes information about the respondent’s confidentiality, motivates the respondent to complete the survey, provides an estimate of the time required to complete, should be clear and concise
parts of a survey: questions
include directions for completing, each question should have a defined objective, notice question wording, lead with high-interest questions, close with demographic questions, and keep it brief by eliminating unnecessary questions
parts of a survey: survey logic
respondent should only be asked questions that apply to them, asking respondents to reply to questions that do not apply to them can lead to confusion and unreliable results (skip and display)
parts of a survey: closing statement
thank the respondent for participating, provide contact information for questions, explain how the survey results will be disseminated, if any incentive is offered–provide relevant information
double barreled questions
questions that attempt to get at multiple issues at once, and so tend to receive incomplete or confusing answers (ex. do you like pizza and ice cream?)
high-interest questions
should be at beginning of survey, most important
demographic (sensitive) questions
should be at end of survey, not as important but very helpful
question types: open-ended
provides respondents the opportunity to express themselves in their own words, no correct answers, often elicit unanticipated responses which provide new directions for research, can be difficult to interpret/analyze if clear themes do not emerge, short answer text or essay format
question types: closed-ended
more difficult to write than open-ended questions, have a finite set of answers, responses are easy to standardize and analyze statistically, may miss pertinent information if a key answer is not provided to respondents (can be corrected by using “other” response option)
advantages and disadvantages of open-ended questions
advantages:
respondents can define central issues, address the issue of “why”
disadvantages:
can be time consuming, results can be more challenging to analyze, leading questions can lead to less reliable results
advantages and disadvantages of closed-ended questions
advantages:
easy to answer, easier to analyze results
disadvantages:
cannot address the issue of “why,” limited options available to respondents, can be hard to gauge results (ex a 2 on a ranking can mean different things to different respondents)
types of survey logic (skip vs display)
skip logic: allows you to send respondents to a future point in the survey based on how they answer a question. (ex. if a respondent indicates that they don’t fit to your respondent criteria, they could immediately be skipped to the end of the survey.)
display logic: allows you to display questions conditionally based on the respondent’s answers to previous questions.
survey administration: population vs sample
population: the larger set of individuals you wish to understand
sample: a subset selected from a population to survey
sampling techniques: simple random sample
members of the subset are chosen completely at random so that every member of the population has an equal probability of being selected
sampling techniques: stratified sample
the population is divided up into relatively homogeneous groups; then, a proportionate probability sample is drawn from the groups
sampling techniques: convenient sample
members of the subset are selected according to their availability
survey analysis: reporting the results
a final report should include: purpose, design of survey, administration process, data analysis, and findings
primary data
data collected from the original source by the investigator himself/herself for a specific purpose
secondary data
data collected by someone else for some other purpose (but being utilized by the investigator for another purpose) or not from the original source
advantages and disadvantages of primary data
advantages:
data collected is specific to the problem, quality of data can be ensured, may be possible to obtain additional data
disadvantages:
expensive, time consuming, requires setup and manpower