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etadd_47(3) - Division on Autism and Developmental Disabilities

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TABLE 4<br />

Total Number of Items Answered Correctly by Students in the Comparis<strong>on</strong> <strong>and</strong> Experimental Group<br />

Variable<br />

Pretest<br />

M(SD)<br />

the tests. At the beginning of each test, the<br />

teacher asked the students to complete the<br />

tasks with the following statement: “This is not<br />

a test or an assignment. It will not count towards<br />

your grades. Try your best to answer<br />

these questi<strong>on</strong>s. If you d<strong>on</strong>’t know how to<br />

answer the questi<strong>on</strong>, make an ‘X’ <strong>on</strong> it <strong>and</strong> go<br />

to the next <strong>on</strong>e. You have 15 minutes to work<br />

<strong>on</strong> these problems. It is okay if you d<strong>on</strong>’t<br />

finish all the questi<strong>on</strong>s in 15 minutes. If you<br />

finish early, raise your h<strong>and</strong> <strong>and</strong> I will collect<br />

your worksheets. If you need a calculator,<br />

please raise your h<strong>and</strong> <strong>and</strong> I will give you<br />

<strong>on</strong>e.” At the end of the 15 minutes, the<br />

teacher stopped the test <strong>and</strong> collected students’<br />

answer sheets. A graduate student<br />

graded the probes.<br />

Reliability <strong>and</strong> Procedural Integrity<br />

The researcher developed procedural checklists<br />

for individual less<strong>on</strong>s based <strong>on</strong> the<br />

scripted less<strong>on</strong> plans. The researcher trained<br />

a graduate student to observe the less<strong>on</strong>s <strong>and</strong><br />

check the treatment integrity data using the<br />

procedural checklists. The procedural integrity<br />

was calculated by the total number of steps<br />

completed by the teacher divided by the total<br />

number of available steps <strong>on</strong> the procedural<br />

checklist. We collected treatment integrity<br />

data for all of the interventi<strong>on</strong> sessi<strong>on</strong>s <strong>and</strong> it<br />

was 100% across the sessi<strong>on</strong>s. One graduate<br />

student who was not involved in the data collecti<strong>on</strong><br />

<strong>and</strong> was blind to the participants in<br />

both comparis<strong>on</strong> <strong>and</strong> treatment groups c<strong>on</strong>ducted<br />

the interobserver reliability checks for<br />

all of the probes independently. Interobserver<br />

agreement was calculated by total number of<br />

agreements divided by agreements plus disagreements<br />

multiplied by 100%. Given the<br />

Comparis<strong>on</strong> Experimental<br />

Posttest<br />

M(SD)<br />

Pretest<br />

M(SD)<br />

objective nature of the answers, the mean<br />

agreement for total number of questi<strong>on</strong>s answered<br />

correctly <strong>on</strong> the target items were 99%<br />

(range between 92% to 100%) <strong>and</strong> 100% <strong>on</strong><br />

the generalizati<strong>on</strong> items.<br />

Results<br />

Posttest<br />

M(SD)<br />

Maintenance<br />

M(SD)<br />

Target .00 (.00) .20 (.45) .40 (.89) 19.60 (.89) 16.80 (6.61)<br />

Generalizati<strong>on</strong> .20 (.45) .40 (.89) .00 (.00) 10.20 (1.30) 7.60 (5.32)<br />

Table 4 presents the means <strong>and</strong> st<strong>and</strong>ard deviati<strong>on</strong>s<br />

of total number of questi<strong>on</strong>s answered<br />

correctly by the students <strong>on</strong> the pretest,<br />

posttest, <strong>and</strong> maintenance probe.<br />

Students in the comparis<strong>on</strong> group scored an<br />

average of 0 <strong>on</strong> the target items <strong>on</strong> the pretest<br />

<strong>and</strong> .20 <strong>on</strong> the posttest with a gain score of .20.<br />

With regard to the generalizati<strong>on</strong> items (Table<br />

5), students in the comparis<strong>on</strong> group<br />

scored an average of .20 <strong>on</strong> the pretest <strong>and</strong> .40<br />

<strong>on</strong> the posttest with a gain score of .20. Students<br />

in the experimental group scored an<br />

average of .40 <strong>on</strong> the target items <strong>on</strong> the<br />

pretest <strong>and</strong> 19.60 <strong>on</strong> the posttest with a gain<br />

score of 19.20. With regard to the generalizati<strong>on</strong><br />

items, students in the experimental<br />

TABLE 5<br />

Analysis of Gain Scores <strong>on</strong> the Target <strong>and</strong><br />

Generalizati<strong>on</strong> Items between the Comparis<strong>on</strong> <strong>and</strong><br />

Experimental Group<br />

Variable<br />

Target Items<br />

Gain Score<br />

Generalizati<strong>on</strong><br />

Items Gain<br />

Score<br />

* p .001<br />

Comparis<strong>on</strong><br />

M (SD)<br />

Experimental<br />

M (SD)<br />

Mean<br />

Difference<br />

.20 (.45) 19.20 (.45) 19.00*<br />

.20 (1.10) 10.20 (1.30) 10.00*<br />

Functi<strong>on</strong>al Mathematical Skill / 351

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