18.08.2013 Views

gambling in alberta - Research Services - University of Lethbridge

gambling in alberta - Research Services - University of Lethbridge

gambling in alberta - Research Services - University of Lethbridge

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Use Longitud<strong>in</strong>al Designs when Possible<br />

Most impact studies collect yearly statistical ‘snapshots’ <strong>of</strong> a community’s socioeconomic<br />

<strong>in</strong>dicators. Attempts are then made to attribute any changes to the <strong>in</strong>troduction <strong>of</strong> the new<br />

<strong>gambl<strong>in</strong>g</strong> activity (e.g., a problem <strong>gambl<strong>in</strong>g</strong> <strong>in</strong>crease after one year be<strong>in</strong>g responsible for a<br />

correspond<strong>in</strong>g bankruptcy rate <strong>in</strong>crease after one year). However, two data po<strong>in</strong>ts provide no<br />

<strong>in</strong>formation concern<strong>in</strong>g whether problem <strong>gambl<strong>in</strong>g</strong> caused the bankruptcies, the bankruptcies<br />

caused the problem <strong>gambl<strong>in</strong>g</strong>, or whether they were <strong>in</strong>dependent events. Even if one event<br />

precedes the other (e.g., problem <strong>gambl<strong>in</strong>g</strong> <strong>in</strong>crease <strong>in</strong> year 1 followed by bankruptcy <strong>in</strong>crease<br />

<strong>in</strong> year 2), causal attributions are weak unless it can be established that <strong>in</strong>creased bankruptcies<br />

occurred primarily with<strong>in</strong> the problem gamblers.<br />

A related problem with cross-sectional designs is that there is no way <strong>of</strong> know<strong>in</strong>g the exact<br />

mean<strong>in</strong>g <strong>of</strong> a stable prevalence rates from Time 1 to Time 2. For example, although severe<br />

levels <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong> appear to be reasonably stable over time (e.g., Slutske, 2006;<br />

Williams, Hann, Schopflocher et al., 2011), less severe forms (which are much more common)<br />

are not. A couple <strong>of</strong> studies have found that the large majority <strong>of</strong> moderate problem gamblers<br />

are no longer problem gamblers at 1-year follow up (Wiebe et al., 2003) or 7-year follow up<br />

(Abbott et al., 1999). Thus, stable rates <strong>of</strong> problem/pathological <strong>gambl<strong>in</strong>g</strong> from Time 1 to Time<br />

2 imply the existence <strong>of</strong> a large group <strong>of</strong> newly affected <strong>in</strong>dividuals roughly equivalent to the<br />

number <strong>of</strong> <strong>in</strong>dividuals who have recovered or remitted (mean<strong>in</strong>g that <strong>gambl<strong>in</strong>g</strong> is produc<strong>in</strong>g a<br />

cumulatively wider impact on the general population than would have otherwise been known).<br />

The ability to make causal attributions with<strong>in</strong> <strong>in</strong>dividuals and establish problem <strong>gambl<strong>in</strong>g</strong><br />

<strong>in</strong>cidence (i.e., rate <strong>of</strong> new cases) is strengthened with use <strong>of</strong> a longitud<strong>in</strong>al design that<br />

documents the temporal sequence <strong>of</strong> events <strong>in</strong> ‘real time’ with<strong>in</strong> <strong>in</strong>dividuals.<br />

(LaPlante et al., 2008).<br />

Assess Impacts for Years Before and for Years After the Introduction <strong>of</strong> New Gambl<strong>in</strong>g<br />

Venues/Opportunities<br />

The length <strong>of</strong> time it takes for all economic and social impacts <strong>of</strong> <strong>gambl<strong>in</strong>g</strong> to manifest<br />

themselves is unknown. Some <strong>of</strong> the economic impacts (e.g., revenues, employment, etc.)<br />

appear to be fairly immediate. On the other hand, it may take a few years for compet<strong>in</strong>g<br />

<strong>in</strong>dustries to fail or for <strong>in</strong>creased utilization <strong>of</strong> roads, sewers, etc. to result <strong>in</strong> repairs. Some<br />

economic impacts will also reverse themselves <strong>in</strong> a resilient economy as <strong>in</strong>dustry repositions<br />

itself. Social impacts may take longer to appear than economic impacts. While some<br />

<strong>in</strong>dividuals experience rapid onset <strong>of</strong> <strong>gambl<strong>in</strong>g</strong> problems, others gamble safely for several years<br />

before problems develop (Committee on the Social and Economic Impact <strong>of</strong> Pathological<br />

Gambl<strong>in</strong>g, 1999). There is also evidence that rates <strong>of</strong> <strong>gambl<strong>in</strong>g</strong> and problem <strong>gambl<strong>in</strong>g</strong> may<br />

decl<strong>in</strong>e with extended exposure (LaPlante & Shaffer, 2007; Shaffer, LaBrie & LaPlante, 2004). It<br />

is also very important to realize that new <strong>gambl<strong>in</strong>g</strong> opportunities are always added to exist<strong>in</strong>g<br />

<strong>gambl<strong>in</strong>g</strong> opportunities (even if they are illegal). Thus, lag effects <strong>of</strong> these pre-exist<strong>in</strong>g<br />

opportunities can easily be mistaken for immediate impacts <strong>of</strong> the new forms. It is important<br />

28

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!