Two main research problems were addressed in the current study. First, the researcher explored the impact of e-mail prenotification, follow-up reminders and of mixed-mode design on survey response rates in Saudi Arabia among four conditions when applying a 2 (pre-notification: Yes, No) x 2 (Follow-up: E-mail, WhatsApp) between-subjects factorial design. Further, this study investigated the impact of including the phrase, "all I need is 10 more people," during survey distribution. Results indicated that using both e-mail prenotification and follow-up reminders simultaneously, as well as multiple follow-up reminders in the form of both email and social media applications increased response rate. Further, using the phrase "all I need is 10 more people" during the second-follow reminder both elevated the response rate and provided support from the university to the researcher. Second, the researcher demonstrated whether the analytic choice between MR and SEM affected the results when examining the factors impacting the research productivity of faculty members in Saudi Arabia. Results indicated that using either MR or SEM delivered different results in terms of significant predictors and the model's overall explained variance. Further, differential outcomes produced by the various SEM models employed illustrate how the incorrection specification of formative (causal) indicators can result in worse data-fitting models. Implications for selecting analytic procedures are discussed. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]