34
| Total Attempts: 76

多空格的題目請以逗點+空白鍵隔開，並依照考古的順 填寫。測驗最後會有解答，但是他沒那麼聰明 所以有些錯的可能你寫對，請自己留意一下

Questions and Answers

- 1.The objective of
**_____________________**is to avoid the use of only a single variable to represent a concept, and instead to use several variables as indicators, all representing differing facets of the concept to obtain a more ‘’well-rounded’’ perspective. - 2.If the single dependent variable is metric, then the appropriate technique is
**_______**. - 3.If a set of dependent/independent variable relationships is postulated, then
**_______**is appropriate. - 4.If the single dependent variable is metric and the independent variables are nonmetric
**_______**should be selected. - 5.If the several dependent variables are metric and the independent variables are nonmetric,
**_______**should be selected. - 6.
**_______**is the degree to which a measure accurately represents what it is supposed to. - 7.There are two basic kind of data: nonmetric and metric. _______ measurements can be made with either an interval or a _______scale
- 8.If the single dependent variable is nonmetric, then the appropriate technique are
**_______**and linear probability models. - 9.Four common approaches for dealing with missing data include use of observations with
**______________**,**_____________________**,**______________**, and**______________**procedure. - 10.
**_______**and**_____________________**are tools that use to examine the shape of the distribution of a single variable. - 11.If a nonlinear relationship is detected,
**______________**and**_____________________**can be used to remedy the situation. - 12.
**_______**is the degree to which the observed variable measures the ’’true ’’ value and is “error free”. - 13.
**_______****______________**model is most appropriate when the primary objective is about prediction or the minimum number of factors needed to account for the maximum portion of the variance represented in the original set of variables, and when prior knowledge suggests that specific and error variance represent a relatively small proportion of the total variance. - 14.The most problematic issue in independent variable selection is
**_______**which concerns the inclusion of irrelevant variables or the omission of relevant variables from the set of independent variables. - 15.The impact of
**_______**is to reduce any single independent variable’s predictive power by the extent to which it is associated with the other independent variables. - 16.
**_______**is indicator of the effect that the other independent variables have on the standard error of a regression coefficient. - 17.The most common remedy for correlated errors is the
**_____________________**analysis that represents the omitted factor. - 18.A more reliable approach to test for normality is the
**_____________________**, which compares the cumulative distribution of actual data values with the cumulative distribution of a normal distribution. - 19.Five criteria are usually utilized to decide on the number of factors to extract. They include
**_____________________**,**______________**,**_____________________**,**______________**, and**_____________________**. - 20.The
**_____________________**is most appropriate when the primary objective is to identify the latent dimensions or constructs represented in the original variables, and the researcher has little knowledge about the amount of specific and error variance and therefore wishes to eliminate this variance. - 21.When we select among the three data reduction options,
**______________**or**______________**are more appropriate if generalizability and transferability is desired. If the**______________**is a well-constructed, valid, and reliable instrument, then it is probably the best alternative. - 22.Two measures to quantify the degree of intercorrelations among the variables and the appropriateness of factor analysis are the
**_____________________**and**_____________________.** - 23.Regarding the sample size question, the researcher generally would not factor analyze a sample of fewer than 50 observations, and preferably the sample size should be 100 or large. As a general rule, the minimum is to have at least five times as many observations as the number of variables to be analyzed, and the more acceptable sample size would have a
**_______**ratio. - 24.There are several approaches to assist the researcher in finding the best regression model. The
**_____________________**computes a regression equation with all the independent variables, and then deletes independent variables that do not contribute significantly. - 25.To test the hypothesis that the amount of variation explained by the regression model is more than the variation explained by the average, the
**_______**is used. - 26.
**___**is the probability of incorrectly rejecting the null hypothesis - 27.
**_______****_______**are correlations between the original variables and the factors, and the key to understanding the nature of a particular factor. - 28.Heteroscedastic variables can be remedied through
**_____________________**. - 29.Power in multiple regression refers to the probability of detecting as statistical significant a specific level of
**___**or a**______________**at a specified significance level for a specific sample size. - 30.Two of the more common measures for assessing both pairwise and multiple variable collinearity are (1)
**_______**and (2)its inverse-**_______**. - 31.There are two basic kinds of data nonmetric and metric. Nonmetric measurements can be made with either a nominal or an
**_______**scale. - 32.Power is determined by
**_______**,**_______**, and**_______**. - 33.Linearity is a critical issue in regression analysis, it can be easily examined through
**______________**or**_____________________**. - 34.
**_______**is an observation that is substantially different from the other observations on one or more characteristics.