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Factors Influencing the Activity and Perceived Effectiveness of Virginia Local Emergency Planning Committees (LEPCs)
Unformatted Document Text:  We first performed a correlation analysis to determine if any of these factors— number of facilities, population, and LEPC type—were related. We tested our hypotheses by performing two binary logistic regression analyses to determine if these factors predict LEPC activity or proactive efforts. For this, our dependent variables are: active/inactive and proactive/not proactive. Hypothesis 5: Members’ perception of the LEPC’s effectiveness is comparable to outcomes for the level of compliance but not proactivity. In our survey, we ask members of relatively active LEPCs (those completing the Administrative and Member Surveys) if their LEPC is effective. Members may feel their LEPC is effective if they are familiar with the requirements outlined in SARA Title III and are in compliance. The proactive factors are additional actions that LEPCs can fulfill but do not necessarily indicate effectiveness. We perform a chi-square analysis to compare the perceived effectiveness with the level of compliance and proactivity. For the perceived effectiveness, we take the average response based on all surveys (Member and Administrative) for each LEPC. Next, we explore what factors may contribute to perceived effectiveness. We perform a logistic regression analysis to determine the effect of the identified, influential factors on the perceived effectiveness. We also analyze qualitative data collected in our survey. For LEPCs completing the Administrative and Member Surveys we ask members to explain why their LEPC is effective or ineffective. For LEPCs completing the Inactive Survey, we ask why they are inactive. 14

Authors: Templeton, Jill. and Kirk, Gary.
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We first performed a correlation analysis to determine if any of these factors—
number of facilities, population, and LEPC type—were related. We tested our hypotheses
by performing two binary logistic regression analyses to determine if these factors predict
LEPC activity or proactive efforts. For this, our dependent variables are: active/inactive
and proactive/not proactive.
Hypothesis 5: Members’ perception of the LEPC’s effectiveness is comparable to
outcomes for the level of compliance but not proactivity.
In our survey, we ask members of relatively active LEPCs (those completing the
Administrative and Member Surveys) if their LEPC is effective. Members may feel their
LEPC is effective if they are familiar with the requirements outlined in SARA Title III
and are in compliance. The proactive factors are additional actions that LEPCs can fulfill
but do not necessarily indicate effectiveness. We perform a chi-square analysis to
compare the perceived effectiveness with the level of compliance and proactivity. For the
perceived effectiveness, we take the average response based on all surveys (Member and
Administrative) for each LEPC.
Next, we explore what factors may contribute to perceived effectiveness. We
perform a logistic regression analysis to determine the effect of the identified, influential
factors on the perceived effectiveness. We also analyze qualitative data collected in our
survey. For LEPCs completing the Administrative and Member Surveys we ask members
to explain why their LEPC is effective or ineffective. For LEPCs completing the Inactive
Survey, we ask why they are inactive.
14


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