Data analysis should be an ongoing dialogue between theory and data, and not a single process that begins after all data has been collected.
True
The real challenge at the coding stage of a survey is how to code closed-ended questions, as open-ended questions are easily coded by the interviewer.
False
Errors made when coding or entering data into a computer threaten the validity of measures and can ruin a research project, even if the sample and data collection were flawless.
True
Possible code cleaning involves cross-classifying two variables and looking for logically impossible combinations.
False
List-wise deletion means that units of measurement with a missing value on one or more relevant variables are excluded from the analysis.
True
An Index is a measure in which a researcher captures the intensity, direction, or potency of a variable construct and is typically measured at the nominal level.
False
Nominal measurements do not contain any information about the amount of the property; questions of more or less have no meaning.
True
Ordinal measurement specifies the order of the items being measured, but without specifying how far apart they are.
True
The mean is the middle score in a group of numbers, with half the scores above it and half below.
False
The mode is the most common score, and if two non-adjacent scores are tied for the highest frequency, the group is called bimodal.
True
Variance is computed by subtracting each score from the mean, squaring the differences, adding them, and dividing by the number of scores minus one.
True
Variance is computed by subtracting each score from the mean, squaring the differences, adding them, and dividing by the number of scores minus one.
True
