Explain the distinction between variable labels and value labels in an electronic dataset. What is a codebook? Who might create one, what would she or he include in it, and what purpose or purposes would it serve?
Explain the distinction between variable labels and value labels in an electronic dataset.
What is a codebook? Who might create one, what would she or he include in it, and what purpose or purposes would it serve?
Explain the distinction between variable labels and value labels in an electronic dataset.
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True or False: The linear regression model cannot handle curvilinear relationships between independent and dependent variables.
True or False: By convention, if we conduct a statistical hypothesis test and obtain a p-value of .3, we would reject the null hypothesis.
Suppose you have two SPSS datasets. The first contains the variables ID, X1, X2, and X3 for participants 1 through 100; the second contains the variables ID, X4, X5, and X6 for the same 100 participants. Suppose that the datasets are named EvalPre.sav and EvalPost.sav, and are saved on your computer in following file location:
C:Documents and SettingsEvaluationEvalData
And suppose, finally, that you want to combine these datasets to create a new dataset, to be named EvalPrePost.sav, containing ID and X1 through X6 for all 100 participants. What SPSS syntax would you use to accomplish this?
A research team is studying cognitive decline in old age. They collect data on 300 people between the ages of 75 and 95 years. One of the key variables is a measure of one particular aspect of cognitive functioning: Executive function (named EXFUNC in the dataset). For this study it is measured using a test that produces values ranging from 0 to 100, with higher values representing better executive function. The investigators fit a linear regression model to their data and obtain the following estimated model:
EXFUNCi = 161.73 – 1.05AGEi + ei
According to this model, by how many points does the typical score on the executive function scale decline between age 80 and 90?
Suppose your boss gives you a dataset and asks you to run frequencies on the variables X1 and X4, and descriptive statistics on the variables X2, X3, X5, and X6. What SPSS syntax would you use to accomplish this task? (Please present only the command(s) that generate the frequencies and descriptive statistics.)
Suppose your dataset has a variable, X1, that was derived from a questionnaire item with a response options ranging from Strongly Disagree (coded 1) to Strongly Agree (coded 5). Because the wording of this item runs in the opposite direction of the wording of several related items, you want to create a reverse-coded version of this variable on which Strongly Disagree will be coded 5 while Strongly Agree will be coded 1. What SPSS syntax would you use to accomplish this task?
An investigator interested in regional differences in breastfeeding attitudes and practices conducts a national survey. The survey includes a multi-item instrument measuring breastfeeding attitudes. The resulting breastfeeding attitudes scale takes values ranging from 1 to 5, with higher numbers representing more favorable attitudes toward breastfeeding. This scale score is named BRATT in the dataset. The dataset also includes a variable named region which takes the following values: 1 = Northeast, 2 = Southeast, 3 = Midwest, 4 = Southwest, 5 = Rocky Mountains, and 6 = West Coast. The investigator creates a set of dummy variables and runs a linear regression model with the breastfeeding attitudes scale as the dependent variable. The estimated model is
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