407
Views
4
CrossRef citations to date
0
Altmetric
Articles

Testing the Validity of Campaign Ad Exposure Measures: A Family Planning Media Campaign in Pakistan

, &

References

  • Agha, S. (2000). Is low income a constraint to contraceptive use among the Pakistani poor? Journal of Biosocial Science, 32, 161–175. doi:10.1017/S0021932000001619
  • Agha, S. (2010). Intentions to use contraceptives in Pakistan: Implications for behavior change campaigns. BMC Public Health, 10, 450. doi:10.1186/1471-2458-10-450
  • Agha, S., & Beaudoin, C. E. (2012). Assessing a thematic condom advertising campaign on condom use in urban Pakistan. Journal of Health Communication, 17(5), 601–623. doi:10.1080/10810730.2011.635768
  • Agha, S., & Meekers, D. (2010). Impact of an advertising campaign on condom use in urban Pakistan. Studies in Family Planning, 41(4), 277–290.
  • Allison, P. D. (1990). Change scores as dependent variables in regression analysis. In C. C. Clogg (Ed.), Sociological methodology (pp. 93–114). Oxford, United Kinigdom: Basil Blackwell.
  • Allison, P. D. (2015, June 2). Don’t put lagged dependent variables in mixed models. Retrieved from http://statisticalhorizons.com/lagged-dependent-variables
  • Beaudoin, C. E., Chen, H., & Agha, S. (in press). Estimating causal effects with propensity score models: An evaluation of the Touch condom media campaign in Pakistan. Journal of Health Communication.
  • Beaudoin, C. E., & Stephenson, M. T. (2016). Communication campaign evaluation. In D. K. Kim & J. W. Dearing (Eds.), Health communication research measures (pp. 33–44). New York, NY: Peter Lang Publishing Group.
  • Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Newbury Park, CA: Sage.
  • Clogg, C. C., Petkova, E., & Haritou, A. (1995). Statistical methods for comparing regression coefficients between models. American Journal of Sociology, 12, 77–94.
  • Davis, K. C., Nonnemaker, J., Duke, J., & Farrelly, M. C. (2013). Perceived effectiveness of cessation advertisements: The importance of audience reactions and practical implications for media campaign planning. Health Communication, 28(5), 461–472. doi:10.1080/10410236.2012.696535
  • Eveland, W. P. J., & Hively, M. H. (2009). Political discussion frequency, network size, and “heterogeneity” of discussion as predictors of political knowledge and participation. Journal of Communication, 59(2), 205–224. doi:10.1111/jcom.2009.59.issue-2
  • Grubbs, F. (1969). Procedures for detecting outlying observations in samples. Technometrics, 11(1), 1–21. doi:10.1080/00401706.1969.10490657
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1271. doi:10.2307/1913827
  • Hornik, R. (Ed.). (2002). Public health communication: Evidence for behavior change. Mahwah, NJ: Erlbaum.
  • Hornik, R. C. (1997). Public health education and communication as policy instruments for bringing about changes in behavior. In M. E. Goldberg, M. Fishbein, & S. E. Middlestadt (Eds.), Social marketing: Theoretical and practical perspectives (pp. 45–58). Mahwah, NJ: Erlbaum.
  • Hsiao, C., Pesaran, M. H., & Tahmiscioglu, A. K. (2002). Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods. Journal of Econometrics, 109(1), 107–150. doi:10.1016/S0304-4076(01)00143-9
  • Kripfganz, S. (2015). xtpdqml: Quasi-maximum likelihood estimation of linear dynamic panel data models in Stata. Retrieved from http://www.kripfganz.de/documents/Kripfganz_2015_xtdpdqml.pdf
  • Krippendorff, K. (2008). Validity. In W. Donsbach (Ed.), The international encyclopedia of communication. Hoboken, NJ: Blackwell.
  • Lang, A. (1995). Defining audio/video redundancy from a limited-capacity information processing perspective. Communication Research, 22(1), 86–115. doi:10.1177/009365095022001004
  • Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417–1426. doi:10.2307/1911408
  • Niederdeppe, J. (2005). Assessing the validity of confirmed ad recall measures for public health communication campaign evaluation. Journal of Health Communication, 10(7), 635–650. doi:10.1080/10810730500267662
  • Niederdeppe, J. (2014). Conceptual, empirical, and practical issues in developing valid measures of public communication campaign exposure. Communication Methods and Measures, 8(2), 138–161. doi:10.1080/19312458.2014.903391
  • Niederdeppe, J., Fiore, M. C., Baker, T. B., & Smith, S. S. (2008). Smoking-cessation media campaigns and their effectiveness among socioeconomically advantaged and disadvantaged populations. American Journal of Public Health, 98(5), 916–924. doi:10.2105/AJPH.2007.117499
  • Paternoster, R., Brame, R., Mazerolle, P., & Piquero, A. (1998). Using the correct statistical test for the equality of regression coefficients. Criminology, 36(4), 859–866. doi:10.1111/crim.1998.36.issue-4
  • Princeton University. (2007). Panel data. Retrieved from http://dss.princeton.edu/online_help/stats_packages/stata/panel.htm
  • Shapiro, S. S., & Francia, R. S. (1972). An approximate analysis of variance test for normality. Journal of the American Statistical Association, 67, 215–216. doi:10.1080/01621459.1972.10481232
  • Sly, D. F., Heald, G. R., & Ray, S. (2001). The Florida “Truth” anti-tobacco media evaluation: Design, first year results, and implications for planning future state media evaluations. Tobacco Control, 10, 9–15. doi:10.1136/tc.10.1.9
  • Sly, D. F., Hopkins, R. S., Trapido, E., & Ray, S. (2001). Influence of a counteradvertising media campaign on initiation of smoking: The Florida “Truth” campaign. American Journal of Public Health, 91, 233–238. doi:10.2105/AJPH.91.2.233
  • Snyder, L. B., Hamilton, M. A., Mitchell, E. W., Kiwanuka-Tondo, J., Fleming-Milici, F., & Proctor, D. (2004). A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States. Journal of Health Communication, 9(Suppl. 1), 71–96. doi:10.1080/10810730490271548
  • Southwell, B. G. (2005). Between messages and people: A multilevel model of memory for television content. Communication Research, 32(1), 112–140. doi:10.1177/0093650204271401
  • Southwell, B. G., Barmada, C. H., Hornik, R. C., & Maklan, D. (2002). Can we measure encoded exposure? Validation evidence from a national campaign. Journal of Health Communication, 7(5), 445–453. doi:10.1080/10810730290001800
  • Southwell, B. G., & Langteau, R. (2008). Age, memory changes, and the varying utility of recognition as a media effects pathway. Communication Methods and Measures, 2(1–2), 100–114. doi:10.1080/19312450802062380
  • Southwell, B. G., & Torres, A. (2006). Connecting interpersonal and mass communication: Science news exposure, perceived ability to understand science, and conversation. Communication Monographs, 73(3), 334–350. doi:10.1080/03637750600889518
  • Stephenson, M. T., Morgan, S. E., Lorch, E. P., Palmgreen, P., Donohew, L., & Hoyle, R. H. (2002). Predictors of exposure from an antimarijuana media campaign: Outcome research assessing sensation seeking targeting. Health Communication, 14(1), 23–43. doi:10.1207/S15327027HC1401_2
  • Valente, T. W. (2002). Evaluating health promotion programs. Oxford, United Kingdom: Oxford University Press.
  • Valente, T. W., Poppe, P. R., & Merritt, A. P. (1996). Mass-media-generated interpersonal discussion as sources of information about family planning. Journal of Health Communication, 1, 247–265. doi:10.1080/108107396128040
  • Valente, T. W., & Saba, W. P. (1998). Mass media and interpersonal influence in a reproductive health communication campaign in Bolivia. Communication Research, 25(1), 96–124. doi:10.1177/009365098025001004
  • Valente, T. W., & Saba, W. P. (2001). Campaign exposure and interpersonal communication as factors in contraceptive use in Bolivia. Journal of Health Communication, 6(4), 303–322. doi:10.1080/108107301317140805
  • van den Putte, B., Yzer, M., Southwell, B. G., de Bruijn, G.-J., & Willemsen, M. C. (2011). Interpersonal communication as an indirect pathway for the effect of antismoking media content on smoking cessation. Journal of Health Communication, 16(5), 470–485. doi:10.1080/10810730.2010.546487
  • Wakefield, M. A., Loken, B., & Hornik, R. C. (2010). Use of mass media campaigns to change health behaviour. The Lancet, 376, 1261–1271. doi:10.1016/S0140-6736(10)60809-4

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.