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19 Cards in this Set

  • Front
  • Back
the data collection stage of a marketing research project can be the source of many -------- ------------, which are erros in the research process pertaining to anything except the sample size.
non sampling errors
errors committed by respondents when answering the questions in a survey
respondent errors
what are the three data collection errors with online surveys
multiple submissions by same respondent, bogus respondents, misrepresentation of population
the anonymity of the internet can inspire individuals to log into a questionnaire site as a fictious person or to disguise him/herself as another person
bogus respondents and responses
a problem with online data collection is --------- ex. not everyone you want to survey may be web illiterate
mis representation
defined as a failure on teh part of a prospective respondent to take part in the survey or to answer specific questions on the questionnaire.
non response
has been labeled as marekting research industry's biggest problem
nonresponse
what are the three types of non response?
refusals to participate, break offs, and item ommission
phrase often used to signify that some respondents refused to answer a particular question
item omission
in large scale projects, and especially in cases in which the data entry is performed by a subcontractor, researchers utilize a ------- which identifies all of the variable names and code numbers associated with each possible response to each question that makes up the data set.
data code book
basic data analyses goal with all summarization is to report as few pieces of information as possible that describe the most typical response to a question. at the same time it is vital to summarize the degree to which all the respondents share this typical response. this typical response is referred to as the ------ ----- while the expression of how typical repondents are is referred to as --------
central tendency, variability
what are the two types of variables based on their level of measurement:
categorical and metric
a summarization analysis measure for categorical variables. defined as the value in a string of values that occurs most often.
mode
rather than summarizing the mode, it is better to summarize the variability of responses to a categorical question using a ---------- ----------- or a summary of the PERCENT of times each and every category appears for the entire sample.
percentage distribution
a summary of the NUMBER of times each and every category appears for the entire sample. percentage distribution is more intutitive
frequency distribution
when summarizing metric variables it is best to take the ------
mean (average)
what are the two summarization analyses that help you to answer this question about the variability of respondents with respect to the mean.
range and standard deviation
identifies the distance between the lowest value and the highest values in a set of numbers
range
indicates the degree of variability in the metric values in such a way to be translatable into a normal bell shape curve distribution.
standard deviation. typically 1.96