Chapter 4

Question 1

Currency variable

Answer 1

a variable containing values of money.

Question 2

Data editor

Answer 2

the window is where you enter and view data.

Question 3

Data view

Answer 3

there are two ways to view the contents of the data editor window. The data view shows you a spreadsheet and can be used for entering raw data. See also variable view.

Question 4

Date variable

Answer 4

a variable made up of dates. The data can take forms such as dd-mmm-yyyy (e.g., 21-Jun-1973), dd-mmm-yy (e.g., 21-Jun-73), mm/dd/yy (e.g., 06/21/73), dd.mm.yyyy (e.g., 21.06.1973).

Question 5

Long format data

Answer 5

data that are arranged such that scores on an outcome variable appear in a single column and rows represent a combination of the attributes of those scores – the entity from which the scores came, when the score was recorded, etc. In long format data, scores from a single entity can appear over multiple rows where each row represents a combination of the attributes of the score – for example, levels of an independent variable or time point at which the score was recorded (cf. wide format data ).

Question 6

Numeric variable

Answer 6

variables involving numbers.

Question 7

Smartreader

Answer 7

a free piece of software that can be downloaded from the IBM SPSS website and enables people who do not have SPSS Statistics installed to open and view SPSS output files.

Question 8

String variable

Answer 8

variables involving words (i.e., letter strings).

Question 9

Variable view

Answer 9

there are two ways to view the contents of the data editor window. The variable view allows you to define properties of the variables for which you wish to enter data. See also data view

Question 10

Viewer

Answer 10

1. a person who looks at or inspects something.

2. a device for looking at film transparencies or similar photographic images.

Question 11

Wide-format data

Answer 11

data that are arranged such that scores from a single entity appear in a single row and levels of independent or predictor variables are arranged over different columns. As such, in designs with multiple measurements of an outcome variable within a case, the outcome variable scores will be contained in multiple columns each representing a level of an independent variable or a time point at which the score was observed. Columns can also represent attributes of the score or entity that are fixed over the duration of data collection, such as
participant sex, employment status etc. (cf. long format data ).