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The relationship between advertisement variables and applicant responses to newspaper recruitment advertisements

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Abstract

The relationship between recruitment advertisement variables and applicant response rate was investigated. Three hundred and fifty companies were surveyed about applicant responses to their classified advertisements. One hundred and thirty-three surveys were completed and sent back for a return rate of 38%. The results of this study indicate that advertisements which include variables to enhance the physical features of the advertisement: such as white space, size, border, and graphics—are positively related to the quantity of an applicant pool.

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References

  • Assael, H., Kofron, J., & Burgi, W. (1967). Advertising performance as a function of print ad characteristics.Journal Of Advertising Research, 7, 20–26.

    Google Scholar 

  • Bogart, L., & Tolley, B. (1988). The search for information in newspaper advertising.Journal of Advertising Research, 28, 9–19.

    Google Scholar 

  • Bucalo, J. (1983). Good advertising can be more effective than other recruitment tools.Personnel Administrator, 28, 73–79.

    Google Scholar 

  • Davids, M. (1986). How to plan and place corporate advertising in print media.Public Relations Journal, 42, 29–30.

    Google Scholar 

  • Diamond, D. (1968). A quantitative approach to magazine advertisement format selection.Journal of Marketing Research, 5, 376–386.

    Google Scholar 

  • Fyock, C. (1988). New ways to say “help wanted”.Personnel Administrator, 33, 100.

    Google Scholar 

  • Gersh, D. (1986). The latest on classified.Editor and Publisher, 119, 17.

    Google Scholar 

  • Greenberg, E. (1986). The costs and strategies of recruitment advertising.Compensation and Benefits Review, 16, 69–73.

    Google Scholar 

  • Halcrow, A. (1985). Anatomy of a recruitment ad.Personnel Journal, 64, 64–65.

    Google Scholar 

  • Halcrow, A. (1989). When recruitment classifieds are personal.Recruitment Today, 2, 52–54.

    Google Scholar 

  • Hanssens, D., & Weitz, B. (1980). The effectiveness of industrial print advertisements across product categories.Journal of Marketing Research, 17, 294–306.

    Google Scholar 

  • Hendon, D. (1973). How mechanical factors affect ad perception.Journal of Advertising Research, 13, 39–43.

    Google Scholar 

  • Hodes, B. (1983). Planning for recruitment advertising: Part 2.Personnel Journal, 62, 492–501.

    Google Scholar 

  • Hodes, B. (1985). How to choose the most effective media vehicle.Personnel Journal, 64, 75–79.

    Google Scholar 

  • Holbrook, M., & Lehman, D. (1980). Form versus content in predicting starch scores.Journal of Advertising Research, 20, 53–62.

    Google Scholar 

  • Ilaw, M. (1985). Reading between the lines.Black Enterprise, 15, 95–96.

    Google Scholar 

  • Kaplan, A., & Wilk, D. (1989). Relationship between characteristics of recruitment advertisements and applicant pool quantity and quality.Proceedings of the 10th Annual Graduate Conference in I/O Psychology and Organizational Behavior, New Orleans, LA.

  • Lewis, H. (1988). Classified is the most direct (part 2).Direct Marketing, 51, 72–74.

    Google Scholar 

  • Magnus, M. (1986). Recruitment ad vantages.Personnel Journal, 65, 58–77.

    Google Scholar 

  • Magnus, M. (1987). Is your recruitment all it can be?Personnel Journal, 66, 54–63.

    Google Scholar 

  • Magnus, M. (1988). TV channels recruitment efforts.Recruitment Today, 1, 56–58.

    Google Scholar 

  • Martin, B. (1987). Recruitment ad ventures.Personnel Journal, 66, 46–63.

    Google Scholar 

  • Mason, N., & Belt, J. (1986). The costs and strategies of recruitment advertising.Journal of Management, 12, 425–432.

    Google Scholar 

  • Mondy, R., Noe, R., & Edwards, R. (1987). Successful recruitment: Matching sources and methods.Personnel, 64, 42–46.

    Google Scholar 

  • Palkowitz, E., & Mueller, M. (1987). Agencies foresee change in advertising's future.Personnel Journal, 66, 124–128.

    Google Scholar 

  • Rawlinson, H. (1988). What do your classified ads say about you?Recruitment Today, 1, 47–52.

    Google Scholar 

  • Rossiter, J. (1981). Predicting starch scores.Journal of Advertising Research, 21, 63–68.

    Google Scholar 

  • Soley, L. (1986). Copy length and industrial advertising readership.Industrial Marketing Management, 15, 245–251.

    Google Scholar 

  • Soley, L., & Reid, L. (1983). Predicting industrial ad readership.Industrial Marketing Management, 12, 201–206.

    Google Scholar 

  • Starch, D. (1966).Measuring advertising readership and results. New York: McGraw-Hill.

    Google Scholar 

  • Stoops, R. (1984a). Creative ad concepts are not accidents.Personnel Journal, 63, 86–88.

    Google Scholar 

  • Stoops, R. (1984b). How Federal Express recruited for a new high-tech image.Personnel Journal, 63, 16.

    Google Scholar 

  • Stoops, R. (1984c). Reader survey supports market approach to recruitment.Personnel Journal, 63, 22–24.

    Google Scholar 

  • Stoops, R. (1984d). Realize the full potential of recruitment advertising.Personnel Journal, 63, 60–62.

    Google Scholar 

  • Stoops, R. (1984e). Recruitment ads that get results.Personnel Journal, 63, 24–26.

    Google Scholar 

  • Stoops, R. (1985). How to increase response from inactive job seekers.Personnel Journal, 64, 71–77.

    Google Scholar 

  • Twedt, D. (1952). A multiple factor analysis of advertising readership.Journal of Applied Psychology, 36, 207–215.

    Google Scholar 

  • Valiente, R. (1973). Mechanical correlates of ad recognition.Journal of Advertising Research, 13, 13–18.

    Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Psychology, Radford University, 24142, Radford, VA

    Amy B. Kaplan, Michael G. Aamodt Ph.D. & Doreen Wilk

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  1. Amy B. Kaplan
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  2. Michael G. Aamodt Ph.D.
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  3. Doreen Wilk
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Kaplan, A.B., Aamodt, M.G. & Wilk, D. The relationship between advertisement variables and applicant responses to newspaper recruitment advertisements. J Bus Psychol 5, 383–395 (1991). https://doi.org/10.1007/BF01017709

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