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An Invisible Leverage in the Adoption of Online Social Support Community
Unformatted Document Text:  Running Head: Invisible Leverage in Adoption of Online Social Support Community 17 regression, which was performed with each of the last three hypotheses to make sure a cubic relationship does not exist if a curvilinear relationship is found. Two data transformation procedures were performed in advance of these analyses: centering and winsorizing. First, data on the three network size measures were centered in order to remove the multicollinearity problem among these three predictors, especially in curvilinear regression. Correlation coefficients among the three predictors were found high and indicated the possibility of such problem (von Eye & Schuster, 1998). Second, data on the six adoption measures were winsorized in order to remove the effect of outliers on curve estimation. Outliers were identified by residual analysis, and outliers with the two highest residual outlier values were replaced with the most adjacent score (Kokic & Bell, 1994). Weighting was not performed even though the present study employed a stratified disproportionate sampling technique. 8 This is because the proportion of mental illness OSSCs among all general OSSCs population is unknown. The researchers concluded that weighting mental illness OSSCs using the proportion in the study population cannot make any contribution to the representativeness of data with the general population proportion being unknown. For hypothesis 2, each measure of network size was separately entered in a third-order polynomial regression analysis on each measure of adoption first, then all three measures of network size were simultaneously entered in a third-order polynomial regression analysis with each measure in each block in order to examine the overall contribution of each network size measure on adoption. Result The descriptive analysis shows that the average number of total postings for each community was 493.35 (SD = 1240.83) and the average number of registered members was 49.80 (SD = 71.29). It indicates that the average number of posters was 53.25 (SD = 75.57) and the average number of adopters was 28.98 (SD = 46.59). The average frequency of postings per adopter was 11.00 (SD = 11.11) and the average duration of adopter was 140.78 (SD = 110.46). When the major contributor’s participation was excluded, the average frequency of postings per adopter was 7.63 (SD = 7.77) and the average duration of adopter was112.78 (SD = 93.94). The

Authors: Yun, Haejin., Park, Songyi. and Kim, Hee-Jung.
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Running Head: Invisible Leverage in Adoption of Online Social Support Community
17
regression, which was performed with each of the last three hypotheses to make sure a cubic
relationship does not exist if a curvilinear relationship is found.
Two data transformation procedures were performed in advance of these analyses:
centering and winsorizing. First, data on the three network size measures were centered in order
to remove the multicollinearity problem among these three predictors, especially in curvilinear
regression. Correlation coefficients among the three predictors were found high and indicated
the possibility of such problem (von Eye & Schuster, 1998). Second, data on the six adoption
measures were winsorized in order to remove the effect of outliers on curve estimation. Outliers
were identified by residual analysis, and outliers with the two highest residual outlier values
were replaced with the most adjacent score (Kokic & Bell, 1994).
Weighting was not performed even though the present study employed a stratified
disproportionate sampling technique.
8
This is because the proportion of mental illness OSSCs
among all general OSSCs population is unknown. The researchers concluded that weighting
mental illness OSSCs using the proportion in the study population cannot make any contribution
to the representativeness of data with the general population proportion being unknown.
For hypothesis 2, each measure of network size was separately entered in a third-order
polynomial regression analysis on each measure of adoption first, then all three measures of
network size were simultaneously entered in a third-order polynomial regression analysis with
each measure in each block in order to examine the overall contribution of each network size
measure on adoption.
Result
The descriptive analysis shows that the average number of total postings for each
community was 493.35 (SD = 1240.83) and the average number of registered members was
49.80 (SD = 71.29). It indicates that the average number of posters was 53.25 (SD = 75.57) and
the average number of adopters was 28.98 (SD = 46.59). The average frequency of postings per
adopter was 11.00 (SD = 11.11) and the average duration of adopter was 140.78 (SD = 110.46).
When the major contributor’s participation was excluded, the average frequency of postings per
adopter was 7.63 (SD = 7.77) and the average duration of adopter was112.78 (SD = 93.94). The


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