21.01.2022 Views

Statistics for the Behavioral Sciences by Frederick J. Gravetter, Larry B. Wallnau ISBN 10: 1305504917 ISBN 13: 9781305504912

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

684 APPENDIX D | General Instructions for Using SPSS

SPSS Data Formats

The SPSS program uses two basic formats for entering scores into the data matrix. Each

is described and demonstrated as follows:

1. The first format is used when the data consist of several scores (more than one)

for each individual. This includes data from a repeated-measures study, in which

each person is measured in all of the different treatment conditions, and data from

a correlational study where there are two scores, X and Y, for each individual. Table

D1 illustrates this kind of data and shows how the scores would appear in the SPSS

data matrix. Note that the scores in the data matrix have exactly the same structure

as the scores in the original data. Specifically, each row of the data matrix contains

the scores for an individual participant, and each column contains the scores for

one treatment condition.

TABLE D1

Data for a repeated-measures or correlational study with several scores for each individual.

The left half of the table (a) shows the original data, with three scores for each person; and the

right half (b) shows the scores as they would be entered into the SPSS data matrix. Note: SPSS

automatically adds the two decimal points for each score. For example, you type in 10 and it

appears as 10.00 in the matrix.

(a) Original data

Treatments

Person I II III

A 10 14 19

B 9 11 15

C 12 15 22

D 7 10 18

E 13 18 20

(b) Data as entered into the SPSS data matrix

VAR0001 VAR0002 VAR0003 var

1 10.00 14.00 19.00

2 9.00 11.00 15.00

3 12.00 15.00 22.00

4 7.00 10.00 18.00

5 13.00 18.00 20.00

2. The second format is used for data from an independent-measures study using

a separate group of participants for each treatment condition. This kind of data

is entered into the data matrix in a stacked format. Instead of having the scores

from different treatments in different columns, all of the scores from all of the

treatment conditions are entered into a single column so that the scores from

one treatment condition are literally stacked on top of the scores from another

treatment condition. A code number is then entered into a second column beside

each score to tell the computer which treatment condition corresponds to each

score. For example, you could enter a value of 1 beside each score from treatment

#1, enter a 2 beside each score from treatment #2, and so on. Table D2

illustrates this kind of data and shows how the scores would be entered into the

SPSS data matrix.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!