Nominal data is the most basic, where information is coded in discrete, often mutually exclusive, categories like gender.
True
Interval data is the most useful level because, unlike ratio data, it contains an absolute zero point.
False
Systematic sampling is the division of the research population into sampling units, then applying random sampling to each unit.
False
Volunteer sampling is a probabilistic technique because participants are personally motivated to become involved
False
Inter judge reliability is important if researchers need to classify responses to open-ended questions into quantifiable categories.
True
Validity is the extent to which a measure is consistent over time, regardless of whether it reflects the intended concept.
False
Perceptions are defined as what people know about the world, while attitudes are relatively stable evaluations.
True
Cross-sectional surveys provide a snapshot by surveying respondents on one occasion only.
True
Trend surveys are a type of longitudinal survey in which the exact same group of people are surveyed repeatedly over time.
False
Questionnaire designers should avoid using complex terminologies/jargons and asking leading questions in the survey.
True
A major disadvantage of official statistics is that they are quantitative and primarily tell us why something is happening, not what is happening.
False
Fixed response answers offer the respondent a number of possible answers, and the respondent must choose one.
True
