One-Way Within-Subjects ANOVA in .NET Display GS1 - 12 in .NET One-Way Within-Subjects ANOVA

25 One-Way Within-Subjects ANOVA use .net vs 2010 upc-a supplement 5 integration toprint upc-a in .net Microsoft .NET 25.1 Overview In a one-way w ithin-subjects design, sometimes referred to as a repeated-measures design, each case is measured on or contributes a data point to every level of the independent variable. Because of this, subjects function in the design as their own controls; this in turn enhances the power of the statistical design. If the drawbacks to this design can be overcome (e.

g., carry-over effects; see Gamst et al., 2008), it often becomes the design of choice for a one-way design.

. 25.2 Numerical example The Automobile Manufacturers Association wished to study the effects of alcohol consumption on driving different types of vehicles. This hypothetical study called for drivers to consume the equivalent of three alcoholic drinks and then drive a complex prescribed closed-track course in one of four kinds of vehicles. Because of the considerable individual differences in drinking and driving that were expected, and because it was believed that the carry-over effects from the different conditions could be largely negated by knowledge of the track, this was designed as a withinsubjects study.

The organization recruited 14 college students from a local university who were 21 years of age and familiarized them with the track layout. Students were then scheduled for 4 days over the next 2 weeks to drive the course. On each test day, each student was to drive a different vehicle (determined randomly for each student) around the course.

The vehicles and their coding in the data set are as follows: subcompact car (coded as 1), sport sedan (coded as 2), minivan (coded as 3),. One-Way Within-Subjects ANOVA Figure 25.1. A portion of the data set. and full-sized VS .NET UPC-A short-bed pickup truck (coded as 4). The number of driving errors was recorded for each student when driving each vehicle.

. 25.3 The structure of the data set SAS Enterprise Visual Studio .NET upc barcodes Guide uses a structure known variously as univariate, narrow, or stacked form. In univariate or stacked column format, each row is permitted to contain only one score on the dependent variable, and this is the de ning feature of univariate format.

We have not had to face this issue previously in this book because in all of our examples we have dealt with only one score on each measure. However, in a within-subjects design we measure the cases on the same variable under multiple conditions. Under univariate format, each of those scores must be placed on a different line in the data set.

A portion of the stacked data set is presented in Figure 25.1. Note that the rst four lines represent the information for the student identi ed as id 1.

This. Comparing Means: ANOVA is because eac .net framework UPC-A Supplement 2 h student has four different error scores, one for each level of the within-subjects variable (i.e.

, one for each vehicle that the student drove). Under the univariate format requirement that only one score on any single variable may appear on any given row, we must use four rows to capture the measurements for each student. The rst column in the data set identi es the particular student whose data are contained in the row.

The identi er variable is named id. The second variable (second column), which we have named vehicle, represents the particular vehicle of concern on that row. Vehicles are coded as described in Section 25.

2. The variable in the third column is named errors. It represents the number of errors made by the student drivers when driving the signi ed vehicle.

For example, consider the rst four rows of data. These all relate to the student whose id is 1. This student committed 20 errors when driving the vehicle coded as 1 (the subcompact), 4 errors when driving the vehicle coded as 2 (the sport sedan), 18 errors when driving the vehicle coded as 3 (the minivan), and 9 errors when driving the vehicle coded as 4 (the pickup).

Copyright © . All rights reserved.