Supplementary Exercise 3.14 of IPS7e ------------------------------------ Study to assess any impact of offering an on-site childcare facility as a job benefit. The ability to attract applicants to two similar fictitious companies is compared. The brochure for one company (B) is printed in two versions, one of which mentions a childcare facility whereas the other one does not. A total of 40 unmarried women seeking employment are available to participate in the study. They will receive brochures for both companies, but the treatment group determines which version of the brochure for company B they will receive. The treatment groups will be of equal size. (a) The design is a completely randomized design with 2 treatment groups, both comprising 20 women. The PSLS and IPS textbooks use a simple display for the design, roughly as follows: Random assignment -> Group 1 (20 women) -> Brochure with childcare -> Group 2 (20 women) -> Brochure without childcare In my view, this display is not crucial for understanding the design. The response measured for all women is which company their prefer; i.e., a dichotomous, or binary, response. (b) From Table A (PSLS) or Table B (IPS), lines 121-124, we get the following list of two-digit numbers between 1 and 40: 29 07 34 22 10 25 13 38 15 05 (29) 09 08 27 (13) (08) (15) (07) 27 (10) (25) (27) 23 30 28 18 03 01 36 ... The numbers in parenthesis are repeats, but the other numbers form one of the two groups in the trial. The numbers are allocated to the names on the list by numbering these from 1 to 40, e.g. as in the data file. Randomization using the Random numbers applet: ---------------------------------------------- Enter 40 as the maximum and 20 as the sample size, and click Sample. One trial with the applet produced a sample of: 34 20 32 37 10 11 8 19 28 25 21 2 38 29 40 6 18 22 9 30 - these numbers define the first treatment group. Randomization using Minitab: ---------------------------- WOpen "R:\Chapter 3\ex03_014.mtw". Base 140906. Name c2 "randorder" Sample 40 'name' 'randorder'. Print 'name' 'randorder'. Data Display Row name randorder 1 Abrams Brown 2 Adamson Morse 3 Afifi Roberts 4 Brown Gerson 5 Cansico Kaplan 6 Chen Cansico 7 Cortez Green 8 Curzakis Afifi 9 Danielson Williams 10 Durr Rosen 11 Edwards Cortez 12 Fluharty McNeill 13 Garcia Garcia 14 Gerson Lattimore 15 Green Chen 16 Gupta Lippman 17 Gutierrez Janle 18 Howard Edwards 19 Hwang Quinones 20 Iselin Iselin 21 Janle Travers 22 Kaplan Gutierrez 23 Kim Turing 24 Lattimore Ng 25 Lippman Rivera 26 Martinez Kim 27 McNeill Wong 28 Morse Abrams 29 Ng Sugiwara 30 Quinones Gupta 31 Rivera Ullmann 32 Roberts Fluharty 33 Rosen Thompson 34 Sugiwara Curzakis 35 Thompson Martinez 36 Travers Danielson 37 Turing Adamson 38 Ullmann Durr 39 Williams Howard 40 Wong Hwang The first 20 names of the second column (randorder) are used for the first treatment group, and the last 20 names for the second treatment group.