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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 18 average proportion of adopters among posters was .49 (SD = .19) and the average network activeness was 4.87 (SD = 8.85). Finally, the average frequency activity of the major contributor was 9.07 (SD = 16.71) and the average duration activity of the major contributor was 6.67 (SD = 16.03). All those values are from the data before centering. 9 Hypothesis 1: The network size of physical illness OSSCs tends to be larger than that of mental illness OSSCs. Hypothesis 1 was not supported in any measure of network size. There was no difference in network size according to illness type. A t-test shows that the number of registered members of physical illness OSSCs ( M = 57.57, SD = 79.98) is not significantly larger than that of mental illness OSSCs (M = 42.51, SD = 61.57), t = 1.45, df = 170.81, n.s. It also indicates that the number of posters of physical illness OSSCs (M = 56.11, SD = 77.84) is not significantly larger than that of mental illness OSSCs (M = 50.57, SD = 73.67), t = .50, df = 188, n.s., and that the number of adopters of physical illness OSSCs (M = 30.14, SD = 47.85) is not significantly larger than that of mental illness OSSCs (M = 27.89, SD = 45.60), t = .33, df = 188, n.s. One of the reasons why we could not find significant difference between two different illness type communities might be because the study is limited to the public community only. Those who are involved in public mental communities would be more open to other community members while those who are in private mental communities would be more concern about their privacy. Therefore, network size sensitivity of the public mental communities would be decreased in the study. Hypothesis 2: There will be a curvilinear relationship between network size and adoption. Hypothesis 2-1 was not supported. The number of registered members did not show a curvilinear relationship with any measure of adoption. Instead, positive linear relationships were found with four measures of adoption – the frequency of postings per adopter, the frequency of postings per adopter excluding the major contributor, the average duration of adopters excluding 8 Stratified disproportionate sampling is appropriate when comparisons among subsets of the population are impossible because there exist large differences in the sizes of subsets. It is recommended for data to be weighted according to the proportion in the population in order to represent the population. 9 Descriptive analyses of all variables are not included due to the page limitation. The data are available upon request.

Authors: Yun, Haejin., Park, Songyi. and Kim, Hee-Jung.
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Running Head: Invisible Leverage in Adoption of Online Social Support Community
18
average proportion of adopters among posters was .49 (SD = .19) and the average network
activeness was 4.87 (SD = 8.85). Finally, the average frequency activity of the major contributor
was 9.07 (SD = 16.71) and the average duration activity of the major contributor was 6.67 (SD =
16.03). All those values are from the data before centering.
9
Hypothesis 1: The network size of physical illness OSSCs tends to be larger than that of mental
illness OSSCs.
Hypothesis 1 was not supported in any measure of network size. There was no difference
in network size according to illness type. A t-test shows that the number of registered members
of physical illness OSSCs (
M = 57.57, SD = 79.98)
is not significantly larger than that of mental
illness OSSCs (M = 42.51, SD = 61.57), t = 1.45, df = 170.81, n.s. It also indicates that the
number of posters of physical illness OSSCs (M = 56.11, SD = 77.84) is not significantly larger
than that of mental illness OSSCs (M = 50.57, SD = 73.67), t = .50, df = 188, n.s., and that the
number of adopters of physical illness OSSCs (M = 30.14, SD = 47.85) is not significantly larger
than that of mental illness OSSCs (M = 27.89, SD = 45.60), t = .33, df = 188, n.s. One of the
reasons why we could not find significant difference between two different illness type
communities might be because the study is limited to the public community only. Those who are
involved in public mental communities would be more open to other community members while
those who are in private mental communities would be more concern about their privacy.
Therefore, network size sensitivity of the public mental communities would be decreased in the
study.
Hypothesis 2: There will be a curvilinear relationship between network size and adoption.
Hypothesis 2-1 was not supported. The number of registered members did not show a
curvilinear relationship with any measure of adoption. Instead, positive linear relationships were
found with four measures of adoption – the frequency of postings per adopter, the frequency of
postings per adopter excluding the major contributor, the average duration of adopters excluding
8
Stratified disproportionate sampling is appropriate when comparisons among subsets of the population are
impossible because there exist large differences in the sizes of subsets. It is recommended for data to be weighted
according to the proportion in the population in order to represent the population.
9
Descriptive analyses of all variables are not included due to the page limitation. The data are available upon
request.


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