click below
click below
Normal Size Small Size show me how
Stack #184727
| Question | Answer |
|---|---|
| way to select a random sample from a directory or list that is much more efficient than simple random sampling | systemic sampling |
| - approximate known and equal chance of selection - efficiency - less expensive | advantages systemic sampling |
| is employed when the researcher realizes that respondents will need to apply different menatal effor to groups of questions | work approach |
| placement of numbers on the questionnaire to facilitate data entry after the survey has been conducted | precoding |
| more accurate overall sample of skewed population | advantage of stratified |
| can serve as the basis for reliability and validity measures | function of questionnaire |
| a subset of the population that should represent the entire group | sample size |
| one the marketing manager can potential use as a basis for marketing decisions | meaningful difference |
| any error that occurs in a survey because a sample is used | sampling error |
| -two group comparison - probability difference - mean difference | T-Test |
| categories are created before observation and provided on observation forms | break down |
| the entire group under study as defined by reasearch objectives | population |
| the basic level of investigation. Consumers, store, shelf facings, teens | sample unit |
| an acccounting of the complete population | census |
| - at the presence of breakfast, we have the presence of coffee - at the presence of lunch we have the absence of coffee | non-monotonic |
| - complete accounting of population needed - cumbersome to provide unique designations to every population member | Disadvantages Simple Random sampling |
| Fosters cooperation and motivation | Functions of Questionnaire |
| Multigroup Comparison | ANOVA |
| Standardizes those questions and the response categories | Function of Questionnaire |
| Translates the reserach objectives into specific questions | Function of Questionnaire |
| Can speed up the process of data analysis | Function of Questionnaire |
| Serves as permanent records of the research | Fuction of Questionnaire |
| Perform observations first then build categories | Build-Up |
| A set of procedures in which the sample size and sample statistics are used to make estimates of popoulation parameters | Statistical Inference |
| Hypotheses that indicate the direction in which you believe the population parameter falls relative to some target mean or percentage | Differential Hypothesis |
| Instances in which the chances (probability of selecting members frmo the population into the sample are unknown | Non-Probability Samples |
| the marketer can focus various marketing strategies and tactics, such as different ad appeals, different versions of the product, different prices, or different channels of distribution | Actionable Differences |
| Method in which the population is divided into groups, any of which can be considered a representative sample | Cluster Sampling |
| One that will be in place for the forseeable future | Stable Differences |
| Organizes questions into sets based on a common objective of questions in the set | Sections approach |
| "what we wish to know" about a population | parameters |
| are used to ESTIMATE population parameters | Statistic |
| The difference in the sample may be assumed to exist in the populations from which the random samples are drawn | Statistical Significance difference |
| Assesses nonmonotonic associations in corss tab tables. Based upon differences between observed and expceted frequencies | Chi-Square |
| small loss in sampling precision | disadvantage systemic sampling |
| method in which the population is separated into different strata and a sample is taken from each stratum | stratified sampling |
| the general direction of a relationship between two variables is know, KIDS and SHOES | monotonic |
| - the known and equal chance of selection - easy method when there is an electronic database | advantages simple random sampling |
| ones in which members of the population have a known chance (probability) of being selected into the sample | probability sample |
| more complex sampling plan requiring different sample sizes for each stratum | disadvantages stratified sampling |
| Economic Efficiency | advantage cluster sampling |
| cluster specification errors, the more homogeneous the cluster the more precise the sample result | disadvantage cluster sampling |
| some curved patern describes the associations. Job satisfaction high then low then high | curvilinear |
| "straight-line" association between variables | linear |
| consists of rows and columns defined by the categories classifying each of the two variables | Cross-Tabs |
| the probability of being selected into the sample is "known" and equal for all members of the population | Simple Random Sampling |
| used to generate conclusions about the populations characteristics based on the sample data | inferential analysis |
| used to compare the means of the responses of one group to that of another group | differences analysis |
| indicated the degree of variation in a way that can be translated into a bell shaped curve distribution | standard deviation |
| values that are computed from information provided by a sample | statistic |
| refers to how close a random samples statistic is to the true populations value it represents | accuracy |
| creation of a computer file that hold the raw data taken from all of the questionnaires deemed suitable for analysis | data entry |
| used to desribte the data set | descriptive analysis |
| allows one to make forecasts for future events | predictive analysis |
| a statistical procedure used to "accept" or reject" the hypothesis based on sample information | hypothesis |
| determines the strength and direction of realtionships between two or more variables | associative analysis |
| values that are computed from a complete census which are considered to be precise and valued measure of the population WANT TO KNOW MOST | parameters |
| identification codes that pertain to the possible responses for each question on the questionnaire | data coding |
| the degree to which the sample frame fails to account for all of the defined units of the population, a telephone book listing does not contain unlisted numbers | sample frame error |
| a master list of the entire population | sample frame |
| refers to how similar or dissimilar responses are to given questions | variability |