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& Cutler, 1976; Makowsky & Whitehead, 1991; Schweitzer et al, 1983; Ogborne & Smart, 1980) A later regression analysis by Saffer (1997), comparing different regions of the USA using quarterly data from 1986 1989 and controlling numerous other relevant variables, found an impact of advertising on motor vehicle fatalities which was signi cant (although smaller than that of price) Other research has looked for effects at the individual level Experimental studies in which consumption behaviour was measured following exposure to alcohol advertising showed mixed results, but those showing more sophistication in design, with participants unaware of the purpose of the study and naturalistic settings (Atkin, 1995), have shown some positive effects Some effect was shown on blood alcohol levels after viewing print advertisements for alcohol, but only if the advertisements were viewed while the people were already drinking (McCarty & Ewing, 1983).

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Generate, print GS1 128 ( EAN 128 ) in Java with specified data ...
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_sqlDatabaseAccessService.Command.SQLParameterRoot[parameterCount - 1] = sqlParameterRoot; } private TabPage _AddPage(ref SQLParameterRoot sqlParameterRoot) { TabPage page = null; if (null != sqlParameterRoot && null != sqlParameterRoot.Parameter) { if (String.IsNullOrEmpty(sqlParameterRoot.Parameter.Name)) { if (null != _parentForm) { _parentForm.DisplayMessage( "Please enter parameter name to add", true ); return null; } } if (FormSQLAzureConnect.IsPageExisted(sqlParameterRoot.Parameter.Name, this.tabParameter)) { if (null != _parentForm) { _parentForm.DisplayMessage( string.Format("The name <{0}> of parameter already exists", sqlParameterRoot.Parameter.Name), true); } return null; } page = new TabPage(sqlParameterRoot.Parameter.Name); ParameterControl parameterControl = new ParameterControl(ref sqlParameterRoot, _parentForm); page.Controls.Add(parameterControl); parameterControl.Dock = DockStyle.Fill; this.tabParameter.TabPages.Add(page); } return page; } private void btnDelete_Click(object sender, EventArgs e) { if (null != _parentForm) { _parentForm.DisplayMessage(string.Empty, false); } this.txtParameter.Focus();

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Java GS1 128 (UCC/ EAN - 128 ) Barcode Generator, Barcode ...
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Generating a GS1 - 128 (formerly EAN - 128 ) barcode using ZXing ...
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Other studies of print advertisements showed no effect on later consumption (Kohn et al, 1984) Television advertising, which might be expected to be more powerful in its effects, has been investigated in a number of studies with mixed results For example, male college students shown advertising embedded in television programmes in relatively naturalistic settings were more likely to choose alcohol rather than soft drink (Kohn & Smart, 1984) and were likely to drink more (Wilks et al, 1992) However, the effects differed, depending on the timing and the number of ads shown, and a study using a less naturalistic situation showed no effect (Sobell et al, 1986) An immediate impact of advertising on drinking, as measured in the previous studies, would not be expected if a more cumulative effect of advertising is assumed (Gerbner et al, 1986).

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In this perspective, which assumes a gradual effect over many thousands of exposures, it is more likely that an impact would be measured on the cognitions which arise when processing the advertising messages (Petty & Caccioppo, 1981) Two recent studies have measured such an effect on beliefs Following repeated exposure to beer advertising, college students rated alcohol as more bene cial and less risky (Synder & Blood, 1992) and reported more positive assessments of the bene ts of beer (Slater & Domenech, 1995) Such positive beliefs were predictive of plans about future alcohol use (Slater et al, 1995), although exposure of school children to advertisements did not effect expectancies of drinking (Lipsitz et al, 1993).

The effect of repeated exposure to advertising is also measured in the many surveys that compare participants who have been highly exposed and who report greater awareness or more positive responses to advertisements, with those who do not This has been a very popular approach since the late 1970s, beginning with a large research programme funded by the US Bureau of Alcohol, Tobacco and Firearms (Atkin & Block, 1981, 1984) All of the many cross-sectional analyses of such survey data have found evidence of a positive relationship between self-reported exposure and/or response to advertising and positive beliefs and reports of consumption.

In Atkin & Block s work, those who reported seeing the most advertisements tended to perceive the typical drinker as somewhat more funloving, happy and good-looking, and in turn this was associated with more favourable values regarding the amounts, situations and bene ts of drinking (Atkin & Block, 1981, 1984) There were also differences in the levels of drinking reported by those who were more exposed and recalled advertising moreAn analysis of 1227 people, mostly aged 12 22 years, found 33% of the half who were more exposed were drinking at least 5 6 drinks per week, compared with 16% of the less exposed (Atkin et al, 1983) Other studies have demonstrated an association between positive beliefs, expectancies of future drinking and/or current drinking behaviour (Strickland, 1982; Atkin et al, 1983; Grube & Wallack, 1994; Wyllie et al, 1998a,b).

The likelihood that these associations re ect a causal effect of advertising on drinking has been strengthened by the use of structural equation modelling (Bentler, 1993) to analyse the more recent surveys This found that the data are good ts to models assuming a causal pathway between advertising and expectations of future drink-.

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