Five main construction contractors were engaged in this large construction project. Four of
these were involved throughout the entire construction work, and were included in the present
study. All personnel, i.e., employed or contracted blue- and white-collar workers, engaged by
these contractors to work on the construction project were surveyed. The response rates T1 -
T4 were 85-95%. At T1-T3 72% of the respondents were blue-collar workers, and at T4 75%.
Mean age T1-T4 was 42.1 – 43.9 years; mean time in the present occupation at the
corresponding times was 18.00-20.5 years. The sample mainly consisted of male respondents
(T1-T4: 95-97%). At least 40% of the respondents at each time had senior high school
education and 15–17% had university-level education. Responses from each participant were
matched over time. To be included in the study, respondents must participate in at least two
of the four waves of measurement. This resulted in data from 289 individuals, 162 of whom
participated in at least three of the four measurement waves and 82 in all four waves. The
participants were organized in 44 work units which were the bases for aggregation of climate
measures to the second level. During the construction work the work organisation was
sometimes modified, implying that all units were not present at all waves of measurement.
Thirty-two units had data in at least three of the measurement waves, and 17 units had data in
all four waves. The sample thus suffered from missing data at both the individual and the unit
level, but the missing data were not due to a low response rate. They rather mirrored the
evolving character of construction work. Due to progress in ability to deal with missing data
using the full information maximum likelihood method (FIML), the use of all available data
Five main construction contractors were engaged in this large construction project. Four of
these were involved throughout the entire construction work, and were included in the present
study. All personnel, i.e., employed or contracted blue- and white-collar workers, engaged by
these contractors to work on the construction project were surveyed. The response rates T1 -
T4 were 85-95%. At T1-T3 72% of the respondents were blue-collar workers, and at T4 75%.
Mean age T1-T4 was 42.1 – 43.9 years; mean time in the present occupation at the
corresponding times was 18.00-20.5 years. The sample mainly consisted of male respondents
(T1-T4: 95-97%). At least 40% of the respondents at each time had senior high school
education and 15–17% had university-level education. Responses from each participant were
matched over time. To be included in the study, respondents must participate in at least two
of the four waves of measurement. This resulted in data from 289 individuals, 162 of whom
participated in at least three of the four measurement waves and 82 in all four waves. The
participants were organized in 44 work units which were the bases for aggregation of climate
measures to the second level. During the construction work the work organisation was
sometimes modified, implying that all units were not present at all waves of measurement.
Thirty-two units had data in at least three of the measurement waves, and 17 units had data in
all four waves. The sample thus suffered from missing data at both the individual and the unit
level, but the missing data were not due to a low response rate. They rather mirrored the
evolving character of construction work. Due to progress in ability to deal with missing data
using the full information maximum likelihood method (FIML), the use of all available data
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