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mkt research 2

exam 2 cards

TermDefinition
measurement process of assigning numbers or labels to persons, objects, or events in accordance with specific rules for representing quantities or qualities of attributes
rule guide, method, or command that tells a researcher what to do
constructs specific types of concepts that exist at higher levels of abstraction
constitutive definition statement of the meaning of the central idea or concept under study, establishing its boundaries; also known as theoretical or conceptual
operational definition statement of precisely which observable characteristics will be measured and the process for assigning a value to the concept
scale set of symbols or numbers so constructed that the symbols or numbers can be assigned by a rule to the individuals (or their behaviors or attitudes) to whom the scale is applied
nominal scales scales that partition data into mutually exclusive and collectively exhaustive categories
ordinal scales scales that maintain the labeling characteristics of nominal scales and have the ability to order data
ratio scales scales that have the characteristics of interval scales plus a meaningful zero point so that magnitudes can be compared arithmetically
reliability degree to which measures are free from random error and, therefore, provide consistent data
test-retest reliability ability of the same instrument to produce consistent results when used a second time under conditions as similar as possible tot he original conditions
stability lack of change in results from test to retest
equivalent form reliability ability of two very similar forms of an instrument to produce closely correlated results
internal consistency reliability ability of an instrument to produce similar results when instructed to produce similar results when used on different samples during the same time period to measure a phenomenon
split-half technique method of assessing the reliability of a scale by dividing the total set of measurement items in half and correlating the results
validity degree to which what the researcher was trying to measure what is supposed to measure
face validity degree to which a measurement seems to measure what it is supposed to measure
content validity representativeness or sampling adequacy of the content of the measurement instrument
criterion-related validity degree to which a measurement instrument can predict a variable that is designated a criterion
predictive validity degree to which a future level of a criterion variable can be forecast by a current measurement scale
concurrent validity degree to which another variable, measured at the same point in time as the variable of interest, can be predicted by the measurement instrument
construct validity degree to which a measurement instrument represents and logically connects, via the underlying theory, the observed phenomenon to the construct
converging validity degree of correlation among different measurement instruments that purport to measure the same construct
discriminant validity measure of the lack of association among constructs that are supposed to be different
attitude enduring organization of motivational, emotional, perceptual, and cognitive processes with respect to some aspect of a person's environment
scaling procedures for assigning numbers (or other symbols) to properties of an object in order to impart some numerical characteristics to the properties in question
unidimensional scales scales designed to measure only one attribute of a concept, respondent, or object
multidimensional scales scales designed to measure several dimensions of a concept, respondent, or object
graphic rating scales measurement scales that include a graphic continuum, anchored by two extremes
itemizing rating scales measurement scales in which the respondent selects an answer from a limited number of ordered categories
noncomparative scales measurement scales in which judgement is made without reference to another object, concept, or person
rank-order scales measurement scales in which the respondent compares two or more items and ranks them
comparative scales measurement scales in which one object, concept, or person is compared with another on a scale
paired comparison scale measurement scales that ask the respondent to pick one of two objects in a set, based on some stated criteria
constant sum scales measurement scales that ask for the respondent to divide a given number of points, (typically 100) among two or more attributes, based on their importance to him or her
semantic differential scales measurement scales that examine the strengths and weaknesses of a concept by having the respondent rank it between dichotomous pairs of words or phrases that could be used to describe it; then means of the responses are then plotted as a profile or image
stapel scales measurement scales that require the respondent to rate, on a scale ranging from +5 to -5, how closely and in what direction a descriptor adjective fits a given concept
likert scales measurement scales in which the respondent specifies a level of agreement or disagreement with statements expressing either a favorable or an unfavorable attitude toward the concept under study
purchase intent scales scales used to measure respondent's intention to buy or not to buy a product
balanced scales measurement scales that have the same number of positive and negative categories
nonbalanced scales measurement scales that are weighted toward one end or the other of the scale
determinant attitudes those consumer attitudes most closely related to preferences or to actual purchase decisions
questionnaire set of questions designed to generate the data necessary to accomplish the objectives of the research project also called an interview schedule or survey instrument
coding process of grouping and assigning numeric codes to the various responses to a question
survey objectives outline of the decision making information sought through the questionnaire
open-ended questions questions to which the respondent replies in her or his own words
closed-ended questions questions that require the respondent to choose from a list of answers
dichotomous questions closed-ended questions that ask the respondent to choose between two answers
multiple-choice questions closed-ended questions that ask the respondent to choose among several answers; also called multichotomous questions
scaled-response closed-ended questions in which the response choices are designed to capture the intensity of the respondents feeling
clarity in wording achieved by avoiding ambiguous terminology, using reasonable, vernacular language adjusted to the target groups and asking only one question at a time
respondent biasing leading questions that give away the research goal or sponsor identity
respondent's question-answering ability factors affecting this ability include lack of required information, forgetfulness, or incomplete recall ability
respondent's willingness to answer embarrassing, sensitive, or threatening questions or questions divergent from respondent's self image may cause them to refuse to answer
screeners questions used to identify appropriate respondents
prompters short encouraging statements to rebuild respondent interest
necessary questions pertain directly to the stated survey objectives or are screeners, interest generators, or required transitions
approval by managers managerial review and approval after questionnaire drafting to prevent false starts and expensive later redrafts
pretest trial run of a questionnaire
supervisor's instructions written directions to the field service firm on how to conduct the survey
field management companies firms that provide such support services as questionnaire formatting, screener writing, and coordination of data collection
questionnaire costs and profitability factors affecting costs and profits include overestimating, overbidding, incidence rate, roadblocks to completed interviews, and premature interview terminations
sampling process of obtaining information from a subset of a larger group
population entire group of people about whom information is needed; is also called universe or population of interest
sample subset of all the members of a population of interest
census collection of data obtained from or about every member of the population of interest
sampling frame list of population elements from which units to be sampled can be selected or a specified procedure for generating such a list
random-digit dialing method of generating lists of telephone numbers at random
probability samples samples in which every element of the population have been selected in a nonrandom manner
nonprobability samples samples in which specific elements from the population have been selected in a nonrandom manner
sample size the identified and selected population subset for the survey, chosen because it represents the entire group
population parameter a value that accurately portrays or typifies of a complete population, such as average age or income
sampling error error that occurs because the sample selected is not perfectly representative of the population
nonsampling error all error other than sampling error; also called measurement error
simple random sample probability sample selected by assigning a number to every element of the population and then using a table of random numbers to select specific elements for inclusion in the sample
systematic sampling probabilty sampling in which the entire population is numbered and elements are selected using a skip interval
stratified sample probability sample that is forced to be more representative through simple random sampling of mutually exclusive and exhaustive subsets
proportional allocation sampling in which the number of elements selected from a stratum is directly proportional to the size of the stratum relative to the size of the population
disproportional or optimal, allocation sampling in which the number of elements taken from a given stratum is proportional to the relative size of the stratum and the standard deviation of the characteristic under consideration
cluster sample probability sample in which the sampling units are selected form a number of small geographic areas to reduce datacollection costs
multistage area sampling geographic areas selected for national or regional surveys in progressively smaller population units, such as countries, then residential blocks, then homes
convenience sampling nonprobability samples based on using people who are easily accessible
judgement samples nonprobability samples in which the selection criteria are based on the researcher's personal judgement about representativeness of the population under study
quota samples nonprobability samples in which quotas based on demographic or classification factors selected by the researcher are established for population subgroups
snowball samples nonprobability samples in which additional respondents are selected based on referrals from initial respondents
Created by: hraudsep
 

 



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