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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.