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was used to assess both data sets and

determine the levels of agreement.

There is agreement when the qualitative

findings are explanatory, and ‘dissonance’

when findings are inconsistent.

Such intra-method discrepancies can

be harnessed to examine each data set

more sufficiently (Moffatt et al., 2006).

Thus, we used dissonances to identify

potential explanations from theory (as

cited in Fetters et al., 2013; Pluye et al.,

2005). The coherence of the results is an

important aspect of integration. Fetters

(2013) identifies that the degree of integration,

termed ‘fit,’ may either be confirmation,

expansion or discordance.

As the findings from the two sources

diverge and expand the insights, the

level of integration was considered as

expansion in this study.

Table 2. Comparison of quantitative and qualitative findings.

Table 3. Descriptive statistics of scale results of students.

3. Results

The quantitative and qualitative analyses

associated with each of the four research

questions are presented in turn.

3.1. Results for quantitative analysis

The research question Are there

meaningful differences between the

SRL skills and motivation of ID students

with different academic achievement

levels? was studied using quantitative

data. Descriptive statistics

(Table 3) were used to describe the

sample population. Means of SRL total

and Motivation were calculated as

3.30±0.34, and 3.16±0.39, respectively.

Within SRL factors, self-evaluation

was the most frequently used, while

seeking easily accessible information

was the least used strategy. Within

motivation factors, task value had the

highest use whereas anxiety obtained

the lowest scores.

Table 4 shows the differences between

the SSRL mean scores of students,

which were 235.3 (SS= 15.48) for high

achievers and 205.1 (SS=16.41) for low

achievers. To determine if differences

are significant in scale scores between

groups, the Mann-Whitney U test was

run. Total scale scores were found to be

significantly higher for high achievers

(mean rank=13.85, U=32.5, z= -5.186,

p< .001) than for low achievers (mean

rank=34.59, U=32.5, z= -5.186, p<

.001), as were the scores of subscales

(i.e., SRL Total and Motivation).

Table 4. Group statistics and Mann-Whitney U test results of scale

and subscale scores of students with different achievement levels.

ITU A|Z • Vol 19 No 2 • July 2022 • A. Ates Akdeniz, G. Turan

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