Research Framework
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Glossary of Research Terms
A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z t distribution A symmetric bell shaped distribution which is useful for small sample (n < 30) testing. Back To Top t statistic A statistic which assumes that the variable is normally distributed and the mean is known (or assumed to be known) and the population variance is estimated from the sample. Back To Top t test A univariate hypothesis test using the t-distribution, which is used when the standard deviation is unknown and the sample size is small. Back To Top Target population The collection of elements or objects that possesses the information sought by the researcher and about which inferences are to be made. Back To Top Testing effect An extraneous variable that measures the effects on the experiment of taking a measure on the dependent variable before and after the presentation of the treatment. Back To Top Test-retest reliability An approach for assessing reliability in which respondents are administered identical sets of scale items at two different times under as nearly equivalent conditions as possible. Back To Top Thematic apperception test (TAT) A psychological test consisting of a series of pictures about which the respondent is asked to tell stories. Back To Top Theory A conceptual scheme based on foundational statements, or axioms, which are assumed to be true. Back To Top Total correlation matrix In discriminant analysis, the correlation matrix obtained if the cases are treated as if they were from a single sample. Back To Top Total error The variation between the true mean value in the population of the variable of interest and the observed mean value obtained in the marketing research project. Total mean is composed of random sampling error and nonsampling error. Back To Top Trace analysis An approach in which data collection is based on physical traces, or evidence, of past behavior. Back To Top Treatment In ANOVA, a particular combination of factor levels or categories. Back To Top Trend analysis A method to increase the response rate in which the researcher tries to discern a trend between early and late respondents and project this trend onto nonrespondents to estimate where they stand on the characteristic of interest. Back To Top True experimental designs An experimental design in which the researcher randomly assigns test units and treatments to experimental groups. Back To Top True score model A mathematical model which provides a framework for understanding the accuracy of measurement. Back To Top Two-group discriminant analysis Discriminant analysis in which the independent variable has two categories. Back To Top Two-sample median test A nonparametric test for two independent samples which determines whether the two groups are drawn from populations with the same median. Back To Top |
