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SURVEY DESIGN#1
The process of creating a survey to collect data, focusing on clarity, relevance, and structure.
DATA COLLECTION#2
The systematic gathering of information for analysis, often using surveys or questionnaires.
QUESTIONNAIRE#3
A set of questions designed to gather information from respondents in a structured format.
SURVEY TOOLS#4
Software platforms, like Google Forms or SurveyMonkey, used to create and distribute surveys.
OPEN-ENDED QUESTIONS#5
Questions that allow respondents to answer in their own words, providing qualitative data.
CLOSED-ENDED QUESTIONS#6
Questions with predefined answer options, making data analysis easier and more straightforward.
LIKERT SCALE#7
A rating scale used to measure attitudes or opinions, typically ranging from 'strongly disagree' to 'strongly agree'.
SAMPLING METHODS#8
Techniques for selecting a subset of individuals from a population for survey participation.
TARGET DEMOGRAPHICS#9
Specific groups of people identified as the audience for the survey, based on characteristics like age or gender.
DATA ANALYSIS#10
The process of interpreting collected data to extract meaningful insights and conclusions.
PILOT TESTING#11
A trial run of the survey with a small group to identify issues before full deployment.
QUESTION FORMULATION#12
The technique of crafting questions that effectively gather the desired information.
ANONYMOUS SURVEY#13
A survey where respondents' identities are not revealed, encouraging honest feedback.
RESPONSE RATE#14
The percentage of participants who complete the survey compared to those invited.
SURVEY VALIDITY#15
The extent to which a survey accurately measures what it intends to measure.
SURVEY RELIABILITY#16
The consistency of survey results over repeated trials or different populations.
QUALITATIVE DATA#17
Non-numerical information gathered from open-ended questions, providing insights into opinions.
QUANTITATIVE DATA#18
Numerical information collected from closed-ended questions, suitable for statistical analysis.
SURVEY DISTRIBUTION#19
The methods used to share the survey with respondents, such as email or social media.
DATA VISUALIZATION#20
The graphical representation of data, making it easier to understand and interpret.
INTERPRETING DATA#21
The process of making sense of collected data, identifying trends and insights.
FEEDBACK LOOP#22
The process of using survey results to improve future surveys or products.
DEMOGRAPHIC FACTORS#23
Characteristics of the population, such as age and income, that influence survey design.
SURVEY ETHICS#24
The principles guiding the ethical conduct of survey research, including informed consent.
SURVEY ANALYSIS TOOLS#25
Software or methods used to analyze survey data and generate reports.