Reappraising Mail Survey Response Rates

1974 ◽  
Vol 11 (4) ◽  
pp. 413-417 ◽  
Author(s):  
Eli P. Cox ◽  
W. Thomas Anderson ◽  
David G. Fulcher
Keyword(s):  
Sample Size ◽  
Mail Survey ◽  
Response Rates ◽  
Survey Response ◽  
Time Constraints ◽  
Minimum Sample Size ◽  
Mail Questionnaire ◽  
Minimum Sample ◽  
Questionnaire Surveys

Numerous studies have evaluated various techniques for increasing response rates in mail questionnaire surveys. This study examines two such techniques (personalized cover letters and follow-up post reminders), but goes beyond the single criterion of response reliability to consider budget and time constraints, as well as minimum sample size requirements for analysis purposes.

An Investigation into the Effects of Questionnaire Format and Color Variations on Mail Survey Response Rates

1995 ◽  
Vol 25 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Raymond Lagarce ◽  
Judith Washburn
Keyword(s):  
Response Rate ◽  
Mail Survey ◽  
Response Rates ◽  
Survey Response ◽  
Color Design ◽  
Incentive Program ◽  
Questionnaire Version ◽  
User Friendly ◽  
Monitoring Response

This study examines the effect on mail survey response rates of variations in questionnaire color and format. A follow-up mail survey to a corporate incentive program was sent to more than 3,500 participants. Monitoring response rates by questionnaire version showed that a user-friendly format, followed by a two-color design, significantly increased response rates. Question wording and sequencing remained the same across questionnaire versions while format and color varied. A literature review revealed three issues addressed by past studies—structural, functional, and incentive—that impact response rates. Previous studies have found no response rate increases due to altering the color of a questionnaire. However, this study found that a user-friendly format, and to some extent color, was valuable for increasing mail survey response rates. Implications for writers of all forms of communication are drawn.

Effects of alternative follow-up procedures on mail survey response rates.

1974 ◽  
Vol 59 (2) ◽  
pp. 219-221 ◽  
Author(s):  
Michael J. Etzel ◽  
Bruce J. Walker
Keyword(s):  
Mail Survey ◽  
Response Rates ◽  
Survey Response

A METHODOLOGICAL NOTE ON MAIL SURVEY RESPONSE RATES

2000 ◽  
Vol 86 (3) ◽  
pp. 1273 ◽  
Author(s):  
JEREMY H. LIPSCHULTZ
Keyword(s):  
Mail Survey ◽  
Response Rates ◽  
Survey Response

scholarly journals Minimum sample size for external validation of a clinical prediction model with a binary outcome

2021 ◽  
Author(s):  
Richard D. Riley ◽  
Thomas P. A. Debray ◽  
Gary S. Collins ◽  
Lucinda Archer ◽  
Joie Ensor ◽  
...  
Keyword(s):  
Prediction Model ◽  
Sample Size ◽  
External Validation ◽  
Minimum Sample Size ◽  
Binary Outcome ◽  
Clinical Prediction ◽  
Clinical Prediction Model ◽  
Minimum Sample

Minimum Sample Size of Kidney Biopsies for Semiquantitative and Quantitative Evaluation

Nephron ◽  
1983 ◽  
Vol 34 (3) ◽  
pp. 192-195 ◽  
Author(s):  
M. Oberholzer ◽  
J. Torhorst ◽  
E. Perret ◽  
M.J. Mihatsch
Keyword(s):  
Sample Size ◽  
Quantitative Evaluation ◽  
Minimum Sample Size ◽  
Minimum Sample

scholarly journals Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review

2020 ◽  
Vol 15 ◽  
pp. 102-107
Author(s):  
Hunuwala Malawarage Suranjan Priyanath ◽  
Ranatunga RVSPK ◽  
Megama RGN
Keyword(s):  
Structural Equation Modeling ◽  
Sample Size ◽  
Structural Equation ◽  
Sample Size Determination ◽  
Equation Modeling ◽  
Minimum Sample Size ◽  
Research Project ◽  
Rules Of Thumb ◽  
Minimum Sample

Basic methods and techniques involved in the determination of minimum sample size at the use of Structural Equation Modeling (SEM) in a research project, is one of the crucial problems faced by researchers since there were some controversy among scholars regarding methods and rule-of-thumbs involved in the determination of minimum sample size when applying Structural Equation Modeling (SEM). Therefore, this paper attempts to make a review of the methods and rule-of-thumbs involved in the determination of sample size at the use of SEM in order to identify more suitable methods. The paper collected research articles related to the sample size determination for SEM and review the methods and rules-of-thumb employed by different scholars. The study found that a large number of methods and rules-of-thumb have been employed by different scholars. The paper evaluated the surface mechanism and rules-of-thumb of more than twelve previous methods that contained their own advantages and limitations. Finally, the study identified two methods that are more suitable in methodologically and technically which have identified by non-robust scholars who deeply addressed all the aspects of the techniques in the determination of minimum sample size for SEM analysis and thus, the prepare recommends these two methods to rectify the issue of the determination of minimum sample size when using SEM in a research project.

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