etadd_47(3) - Division on Autism and Developmental Disabilities
etadd_47(3) - Division on Autism and Developmental Disabilities
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