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Human Factors Plan: 2012 Canadian Forces Anthropometric Survey
Brian Mangan
Harry Angel
Prepared by: Humansystems Incorporated. 111 Farquhar St, Guelph, On., N1H 3N4 PSPC Contract Number: W7711-088136/001/TOR Technical Authority: Allan Keefe Contractor's date of publication: December 2011
Defence Research and Development Canada Contract Report DRDC-RDDC-2018-C055 March 2018
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IMPORTANT INFORMATIVE STATEMENTS
This document was reviewed for Controlled Goods by Defence Research and Development Canada (DRDC) using the Schedule to the Defence Production Act.
Disclaimer: This document is not published by the Editorial Office of Defence Research and Development Canada, an agency of the Department of National Defence of Canada but is to be catalogued in the Canadian Defence Information System (CANDIS), the national repository for Defence S&T documents. Her Majesty the Queen in Right of Canada (Department of National Defence) makes no representations or warranties, expressed or implied, of any kind whatsoever, and assumes no liability for the accuracy, reliability, completeness, currency or usefulness of any information, product, process or material included in this document. Nothing in this document should be interpreted as an endorsement for the specific use of any tool, technique or process examined in it. Any reliance on, or use of, any information, product, process or material included in this document is at the sole risk of the person so using it or relying on it. Canada does not assume any liability in respect of any damages or losses arising out of or in connection with the use of, or reliance on, any information, product, process or material included in this document.
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© Her Majesty the Queen in Right of Canada (Department of National Defence), 2018 © Sa Majesté la Reine en droit du Canada (Ministère de la Défense nationale), 2018
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HUMAN FACTORS PLAN: 2012 CANADIAN FORCES ANTHROPOMETRIC SURVEY
by:
Brian Mangan and Harry Angel Humansystems® Incorporated 111 Farquhar Street Guelph, ON, N1H 3N4
Project Manager: Harry Angel (519) 836-5911
PWGSC Contract No. W7711-088136/001/TOR Task Authorization No. 4500892240 Call-up 8136-009
On Behalf of Department of National Defence As represented by Defence Research and Development Canada – Toronto 1133 Sheppard Avenue West Toronto, ON, M3K 2C9
Technical Auuthority: Allan Keefe
29 December 2011
Revisions
DATE AUTHOR STATUS 13 December 2011 B. Mangan Preliminary draft 26 December 2011 H. Angel Revised draft 29 December 2011 H. Angel Revised draft with BM comments of 27Dec 22 March 2012 B. Mangan Revised draft with Allan Keefe comments
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Table of contents
Revisions……………………………………………………………………………………………i Table of contents ...... ii List of figures ...... v List of tables ...... vi 1 Background ...... 1 2 Aim………………………………………………………………………………………....…..4 3 Proposed Sampling Strategy ...... 5 3.1 Demographics of the Current Canadian Forces by Environment ...... 5 3.2 Demographics of the Current Canadian Forces by Gender ...... 6 3.3 Demographics of the Current Canadian Forces by Ethnic Background ...... 6 3.4 Demographics of the Current Canadian Forces by Age ...... 6 3.5 Demographics of the CF by MOSID ...... 7 3.6 Identifying a Representative Minimum Sample Size ...... 13 3.7 Proposed MOSID Stratification Strategy ...... 22 3.8 Proposed Air Force Stratification Strategy ...... 22 3.9 Proposed Canadian Army Stratification Strategy ...... 24 3.10 Proposed RCN Stratification Strategy ...... 24 4 Proposed Survey Method ...... 26 4.1 Participants ...... 26 4.2 Proposed Bases ...... 26 4.3 Proposed Sampling Goals ...... 27 4.3.1 Proposed RCAF Sampling Goal (Males) ...... 28 4.3.2 Proposed RCN Sampling Goal (Males) ...... 29 4.3.3 Proposed Canadian Army Sampling Goal (Males) ...... 30 4.3.4 Proposed Sampling Goal (Females) ...... 31 4.4 Apparatus ...... 31 4.4.1 Computer Data Entry ...... 31 4.4.2 Anthropometric Instruments ...... 32 4.4.3 Vitus XXL Whole Body scanner ...... 35 4.4.4 ANTHROSCAN Software ...... 37 4.4.5 Personal Data ...... 38 4.4.6 ANTHROSCAN Anthropometric Central Server ...... 38 4.4.7 Database Viewing ...... 39 4.4.8 VITUS aHead scanner ...... 39 4.4.9 PEDUS Hand and Foot Scanner ...... 40 4.4.10 BoSS XXI Photogrammetric Scanner ...... 41 4.5 Measurements ...... 42
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4.5.1 Demographic Information ...... 42 4.5.2 Landmarks ...... 42 4.5.3 Standard Measurements ...... 43 4.5.4 Scanned Measures ...... 44 4.6 Error Control ...... 44 4.6.1 Test Instrument Accuracy ...... 45 4.6.2 Scanner Accuracy ...... 45 4.6.3 Test object ...... 45 4.6.4 Test measurements ...... 45 4.6.5 Test Accuracy ...... 45 4.6.6 Scanning Attire ...... 46 4.6.7 Scanning Position ...... 46 4.6.8 Observer Error Control ...... 47 4.7 Process ...... 51 4.7.1 Measurer training ...... 51 4.7.1.1 Traditional anthropometry ...... 51 4.7.1.2 Scanner training ...... 52 4.7.2 Pilot testing ...... 52 4.7.3 Subject Processing ...... 52 4.7.3.1 Set-up ...... 52 4.7.3.2 Data collection ...... 52 4.7.3.3 Screening and Intake ...... 53 4.7.3.4 Landmarking ...... 54 4.7.3.5 Traditional Measurement ...... 54 4.7.3.6 BoSS XXI Scanning ...... 57 4.7.3.7 Vitus XXL whole body scanning ...... 57 4.7.3.8 Vitus aHead head scanning ...... 58 4.7.3.9 PEDUS hand and foot scanning ...... 58 4.7.3.10 Out Processing ...... 58 4.7.3.11 End day Activities ...... 59 4.7.3.12 Next day start activities ...... 59 4.7.3.13 Tear-down ...... 59 4.7.4 Schedule ...... 59 4.8 Data Analysis...... 61 4.8.1 Summary Statistics ...... 61 4.8.2 Scanner Measurement Validation ...... 62 4.8.3 Observer Error ...... 62 4.9 Risks ...... 62 5 Resources ...... 63 5.1 Facilities ...... 63 5.1.1 Power requirements ...... 63
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5.2 Meals and Quarters ...... 63 5.2.1 Meals ...... 63 5.2.2 Quarters ...... 64 5.2.3 Trial staff ...... 65 5.3 Other Requirements ...... 65 5.3.1 Personnel ...... 65 5.3.1.1 Base Office of Primary Interest (OPIs) ...... 65 5.3.1.2 Headquarters Office of Primary Interest (OPIs) ...... 65 5.3.2 Vehicles ...... 65 References/Bibliography...... 66 Annex A: Visual Index of Landmarks ...... 69 Annex B: Measurements Captured Manually and by Scanners ...... 70 Annex C: Demographic Questionnaire ...... 78 Annex D: Consolidated Trial Items Required ...... 81 List of acronyms ...... 86
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List of figures
Figure 1. Scye marking aid ...... 33 Figure 2. Landmark transfer rod ...... 33 Figure 3. Modified height gauge...... 34 Figure 4. Foot measuring box ...... 34 Figure 5. Wall graph ...... 35 Figure 6. Vitus XXL Scanner ...... 36 Figure 7. 3D Scan ...... 36 Figure 8. Vitus aHead Scanner ...... 40 Figure 9. 3D Head Scan ...... 40 Figure 10. FootIn3D Scanner ...... 41 Figure 11. FootIn3D images ...... 41 Figure 12. BoSS XXI Scanner...... 42 Figure 13. BoSS XXI image...... 42 Figure 14. ISO 20685:2010 (E) standing posture A...... 47 Figure 15. ISO 20685:2010 (E) standing posture B...... 47 Figure 16. ISO 20685:2010 (E) standing posture C...... 47 Figure 17. ISO 20685:2010 (E) standing posture D...... 47 Figure 18. Notional layout of the measurement stations ...... 53 Figure 19. Schedule 9 January to 29 January 2012 ...... 60 Figure 20. Schedule 30 January to 24 February 2012 ...... 60 Figure 21. Schedule 25 February to 21 March 2012 ...... 61 Figure 22. Schedule 22 March to 31 March 2012...... 61
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List of tables
Table 1. Breakdown of the Canadian Land Forces members measured during the 1997 Anthropometric Survey – n (%)...... 2 Table 2. – Breakdown of the Canadian Land Forces members who have been digitally measured using the Body Sizing System 21st Century since 2003 ‐ n (%%)...... 2 Table 3. Breakdown of the Canadian Forces by gender, n (%)...... 6 Table 4. Frequency of age, by environment, within the CF...... 7 Table 5. Dedicated Air trades...... 8 Table 6. Dedicated Sea trades...... 9 Table 7. Dedicated Land trades...... 10 Table 8. Cross environment trades...... 11 Table 9 . 1997 Canadian Land Forces Anthropometric Survey measure ...... 14 Table 10. Minimum sample sizes per body measure for male populations (ISO 15535:2006(E))...... 15 Table 11. Minimumu sample sizes per body metric for female populations (ISO 15535:2006(E))...... 19 Table 12. Proposed RCAF sample size by MOSID (males)...... 23 Table 13. Proposed Canadian Army sample size by MOSID (males)...... 24 Table 14. Proposed RCN sample size by MOSID (males)...... 25 Table 15. Pilot survey goal (males)...... 28 Table 16. Non-pilot survey goal (males)...... 28 Table 17. RCN survey goal (males)...... 29 Table 18. Canadian Army survey goal (males)...... 30 Table 19. Canadian Forces survey goal (females)...... 31 Table 20. Anthropometric Instruments...... 32 Table 21. ISO 20685:2010(E) minimum landmark set...... 43 Table 22. Standard measurements target for data collection...... 44 Table 23. Maximum allowable error between extracted value and traditionally measured value...... 45 Table 24. Maximum allowable observer error...... 47 Table 25. Proposed anthropometric measures and associated instruments...... 55 Table 26. Meal requirements staff...... 63 Table 27. Quarters requirements staff...... 64
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1 Background
This document outlines the plan to execute an anthropometric survey of the Canadian Armed Forces. The survey will begin with the characterization of the Royal Canadian Air Force (RCAF) and the Royal Canadian Navy (RCN). A stratified sampling approach will be used to develop a representative sample. Various data collection techniques will be utilized including the use of a full body 3-dimensional (3D) scanning, 3D head scanning, 3D foot and hand scanning, 2D photogrammetric analysis, and manual data measurement. This plan will be used as the basic approach for future anthropometric surveys of the Canadian Forces (CF).
Knowledge of CF personnel body size and shape (anthropometry) is critical to properly specify, evaluate, develop and acquire military equipment (from individual clothing through to the most complex human-operated systems). Effective system performance and operator safety relies on clothing, equipment and systems that take into account CF personnel size and shape, both semi- nude (for clothing applications) and encumbered/equipped (for platform applications).
The Department of National Defence (DND) lacks current, accurate and representative semi-nude anthropometric data of the CF population. The data for RCAF is very dated (1985) and is limited to aircrew males only. As well, there is growing evidence that the 1997 Canadian Land Forces Survey (CLFS) data no longer represents today's Land Force population (either due to limitations in sampling or a real secular change in the population). Finally, no anthropometric data on the Canadian naval population currently exists. Encumbered anthropometric data is only available for the Land Forces (now called the Canadian Army) population (Khandkar et. al., 1980); this data no longer reflects the clothing and personal equipment worn by army personnel on operations.
Many factors contribute to the variability in body size and shape within a population - gender, age, occupation and ethnic origin are among the key factors. Prior to the 1997 CLFS, a semi- nude anthropometric matching study was attempted to match CF personnel with individuals captured in the Anthropometric Survey of US Army Personnel (ANSUR) conducted by Gordon, Churchill, Clauser, Bradtmiller, McConville, Tebbetts and Walker (1989). Personnel in Canada were measured on a limited number of measures, and a hot-deck missing data imputation process done using the ANSUR database was used to complete the data set. The analysis of results indicated that the ANSUR survey data did not represent the Canadian military population resulting in the provision of funding to the CLFS.
The 1997 CLFS sampled 708 individuals and the data was collected using traditional, manual methods. Anthropometric data has been captured on an ongoing basis –using the Body Sizing System 21st Century (BoSS XXI). BoSS, as it is known, is a 2-dimensional (2D) photogrammetric clothing sizing system; anthropometric measures are determined by algorithmically interpreting two 2D photographs of individuals in their underwear. The BoSS system is capable of automatically determining 38 distinct measurements from the two photographs; of these 38 measurements, only 6 are primarily used for the purpose of sizing individuals for their uniforms (Meunier and Yin, 1999).
Of the 708 individuals in the 1997 CLFS 465 (65.7%) were male, and 243 (34.3%) were female. There were 93 officers (13.1%) and 615 non-commissioned members (86.9%), Table 1. Participants were randomly selected individuals, whom, the authors claim, were representative of
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the regular Land Forces. A total of 200 measurements were recorded from each individual participant; 140 were measured directly while 56 were derived indirectly and 4 were indices. In this 1997 survey, approximately 12% of all Land Force (LF) females were measured in the anthropometric survey, whereas only 2% of all LF males were measured. Of the 708 individuals originally sampled in the 1997 CLFS, 239 were determined to be serving in combat arms roles.
Table 1. Breakdown of the Canadian Land Forces members measured during the 1997 Anthropometric Survey – n (%).
Male (%) Female (%) Totals (%) Officers 58 (8.2) 35 (4.9) 93 (13.1) NCM 407 (57.5) 208 (29.4) 615 (86.9) Totals 465 (65.7) 243 (34.3) 708 (100.0)
Recently BoSS data collected over the course of several years (beginning in 2003 and ending August 2009) was compiled into a single Microsoft Excel dataset by Defence Research and Development Canada (DRDC) Toronto. The dataset included 3,452 subjects from all three environments of the CF (land, maritime, and air). Of the 3,452 subjects, 1,776 were from the LF. Of the LF members surveyed using BoSS XXI, 86% were male and 14% were female; 12.3% were officers and 87.7% were non-commissioned members - Table 2. Table 2. – Breakdown of the Canadian Land Forces members who have been digitally measured using the Body Sizing System 21st Century since 2003 ‐ n (%).
Male (%) Female (%) Totals (%) Officers 180 (10.2) 37 (2.1) 217 (12.3) NCM 1347 (75.8) 212 (11.9) 1559 (87.7) Totals 1527 (86.0) 249 (14.0) 1776 (100.0)
While the BoSS is an effective clothing sizing system, its direct measurement of anthropometric dimensions is limited. In particular the BoSS system infers circumferential measures by automatically landmarking with the use of computational algorithms using front and side photogrammetric images.
The 1997 CLFS does not detail its sampling process or strategy to insure that it was representative of the regular LF. As a result, and in addition to statistical evidence that suggests the 1997 CLFS no longer representative of the Canadian Army (Mangan et. al., 2010), concerns have been raised as to its representativeness. The International Organization for Standardization (ISO) document 15535:2006(E) (“General requirements for establishing anthropometric databases”) identifies general requirements for establishing anthropometric databases, and in paragraph 4.3.2, it identifies the desirability of utilizing a random or stratified sampling method. As well, ISO 15535:2006(E) identifies the desire to establish the minimum sample size using statistical power formulas.
Recent developments in 3D scanning techniques have revolutionized the approach in conducting anthropometric surveys. In addition to collecting isolated dimension measures, point clouds of whole body shapes and sizes, and heads are capable of being captured. Recent efforts in the development of protective masks, mandibles, vehicle hatch designs, ship’s passage ways, etc.
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have identified limitations in the use of isolated measures; therefore, 3D measures of the CF are required. The need to obtain current, representative anthropometric data for the CF, both semi- nude and encumbered, has been recognized by the RCAF, the RCN as well as the Canadian Army. Thus, a tri-service anthropometric survey will be conducted to guide the design, development and procurement of current and future soldier clothing, vehicle and equipment systems. The current plan is to conduct the survey in three distinct phases:
PHASE 1:
Capture of semi-nude anthropometric characteristics of the RCAF aircrew (pilot and non-pilot aircrew) as well RCN personnel in the fiscal year 2011-2012.
PHASE 2:
Capture of semi-nude anthropometric parameters of the RCAF ground personnel and Canadian Army personnel ideally commencing already this fiscal year and continuing in fiscal year 2012- 2013. This second step will include extended capture of hand and feet related anthropometric data.
PHASE 3:
Capture of encumbered anthropometric data for the clothing and equipment configurations of particular interest to the clients and DRDC Toronto respectively. The subjects for the encumbered anthropometry will be selected based on data analysis of the semi-nude survey. Consequently this last step will take place in fiscal year 2012-2013 after the completion of the semi-nude data capture. The encumbered survey will be addressed by DRDC Toronto and does not require significant client support.
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2 Aim
Conduct the Canadian Forces Anthropometric Survey (CFAS) 2012 using traditional, 2D and 3D techniques. Goals of this phase of the overall anthropometric survey are as follows: Identify and acquire 3D scanning tools Develop a representative CF sampling strategy Capture anthropometric information from representative RCAF, RCN, and Canadian Army personnel (the focus of Phase II will be on RCAF flight crew personnel) Capture data to evaluate the accuracy of the 3D scanning systems as well as the in-service BoSS XXI system.
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3 Proposed Sampling Strategy
Determining the number of subjects required to develop a representative anthropometric survey is challenging. The number depends on various factors, such as: Required specific sub-populations to be covered The (statistical) distribution of the study variables The level of precision required Financial and time constraints.
The gender, age and environmental sub-population component of the CF will be used to characterize the current state of the CF. These factors will form the initial stratification basis for the anthropometric survey. The sub-population samples will then be stratified by Military Occupational Specialty (MOS) or trade. Military Occupation Specialties are also identified by their identification number or Military Occupation Structure Identification (MOSID). Finally, unique MOSID factors will also be used to further stratify the proposed sub-populations. A proportional stratified sample will be collected.
The 1997 CLFS will be used as a basis for establishing the statistical distribution of anthropometric variables for this survey. The coefficient of variation for these variables will be used to estimate the sample size based on the precision requested, as per the directives outlined in ISO document 15535;2006(E) (“General requirements for establishing anthropometric databases”). The fidelity desired for this anthropometric database requires a 95% confidence interval across a sample that represents the 5th and 95th percentile of the true population.
The cost and time available for conducting this major anthropometric survey is prohibitive. As such it may be necessary to collect less than the statistically estimated numbers required.
3.1 Demographics of the Current Canadian Forces by Environment
Defence Research and Development Canada – Toronto (DRDC Toronto) provided to Humansystems® Incorporated (HSI) the demographic breakdown of the members currently serving in the three environments (Army, Air Force, Navy) of the Canadian Forces (CF). In total, there are 67,882 individuals serving in the CF. Fifty-three percent (53.0%) of all CF members belong to the Canadian Army, 29.3% are members of the RCAF, and 17.7% are members of the RCN.
It is currently not known if there are morphological differences between CF members in the different CF environments. Until further data is available, the personnel in each of the three environments will be treated as sub-populations within the 2012 Anthropometric Survey of the CF.
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3.2 Demographics of the Current Canadian Forces by Gender
Of the 67,882 individuals serving in the Canadian Forces, 86.3% (n = 58,597) are male while 13.7% (n = 9,284) are female (one individual did not disclose their gender). The gender ratio in the Army is 88.8% males to 11.2% females; 82.0%:18.0% in the Air Force, and 86.1%:13.9% in the Navy – see Table 3. Table 3. Breakdown of the Canadian Forces by gender, n (%).
Canadian Forces Army Air Force Navy Males Females Males Females Males Females Males Females 58597 9284 31932 4040 16316 3578 10350 1664 (86.3%) (13.7%) (88.8%) (11.2%) (82.0%) (18.0%) (86.1%) (13.9%)
3.3 Demographics of the Current Canadian Forces by Ethnic Background
Studies have shown that race is important in influencing body and shape, and while the 1997 CLFS suggested a fairly homogenous Army, differences have been observed between Non- Francophone and Francophone personnel for a number of dimensions ( personal communication – Brown, 2011). Based on the 2001 Census, Statistics Canada reported that 22.9% of the Canadian population reported that they were Francophones (Statistics Canada, 2011). Using 23% as a guide one of the goals of the anthropometric survey will be to include approximately 23% Francophone participants.
The fact that Francophones and Non-Francophones are believed to vary on average for a number of measures, the two ethnic groups will be treated as unique sub-populations of the CF.
3.4 Demographics of the Current Canadian Forces by Age
The members of the CF and its respective environments were analyzed for their relative proportions of age. Members of the CF have an average age of 35 years (±9.5, minimum 17, maximum 61). The males of the CF range from 17 years of age to 60 years of age with a mean of 35.0 years (±9.6); the females of the CF range from 17 years of age to 61 years with a mean of 35.5 years (±8.9). This age breakdown of CF and its elements is presented in Table 4.
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Table 4. Frequency of age, by environment, within the CF.
Category Count (% of all Cases) Environment RCN Cdn RCAF CF Army ≤ 20 years 387 1022 339 1748 (3.2) (2.8) (1.7) (2.6) 20 – 25 years 1781 7041 2352 11174 (14.8) (19.6) (11.8) (16.5) 25 – 30 years 2119 7556 3357 13032 (17.6) (21) (16.9) (19.2) 30 – 35 years 1835 6083 3105 11023 (15.3) (16.9) (15.6) (16.2) 35 – 40 years 1776 5010 2798 9584 (14.8) (13.9) (14.1) (14.1) 40 ‐ 45 years 1796 4337 2960 9093 (14.9) (12) (14.9) (13.4) 45 – 50 years 1504 3378 3264 8146 (12.5) (9.4) (16.4) (12.0) ≥ 50 years 818 15 1719 3982 (6.8) (4.3) (8.6) (5.8)
As can be seen in Table 4, the ratio of personnel within the different environments by age bands are different. Approximately 75% of the Canadian Army is 40 years of age or younger while 60% of the RCAF is 40 years of age or younger.
ISO 15535:2006(E) identifies a 5 year age band stratification band approach as one of the recommended approaches for establishing an anthropometric database. The proposed CF sampling approach will use a 5 year age bands as one of the stratification factors. The age differences between land, sea, and air personnel as categorized by the proposed 5-year bands necessitate a further stratification by environment.
3.5 Demographics of the CF by MOSID
Personnel in the CF will be analyzed by MOSID. There are over 100 MOSIDs in the CF. One of the perceived limitations in the 1997 CLFS was the under sampling of combat arms MOSIDs. While the 1997 CLFS survey may have reflected the proper proportion of combat arms in the sample collected, the lower sample size may have compromised the power of the survey to accurately predict the requirements for operational clothing and equipment.
It is currently not known if there are morphological differences MOSIDs. Until further data is available, the personnel in each of the MOSIDs will be treated as sub-populations within the 2012 CF Anthropometric Survey.
A number of MOSIDs in the CF are environmental specific or “hard air, sea or land trades”. Some MOS’s cross environmental boundaries, i.e. a cook can be in the air force, navy or army – see Table 5 to 8. To be representative, the anthropometric survey should capture proportional
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samples within each MOSID where possible. The proposed CF sampling approach will use MOSID as one of the stratification factors.
Table 5. Dedicated Air trades.
MOSID MOS Environmen Count Percentage t 19 AES Op AF 222 2 21 FLt Engr AF 313 2 100 MET TECH AF 231 2 101 SAR TECH AF 180 1 109 ATIS TECH AF 985 7 135 AVN TECH AF 2793 20 136 AVS TECH AF 1463 11 137 IMAGE TECH AF 280 2 138 ACS TECH AF 678 5 149 FIRE FTR AF 556 4 182 ACSO AF 759 5 183 PL AF 1919 14 184 AEC AF 680 5 185 AERE AF 838 6 189 CONST ENGR AF 254 2 337 AC OP ‐ AE AF 587 4 340 CELE (AIR) AF 444 3 343 NDT TECH AF 59 0 363 AM SUP AF 523 4 261 AWS TECH AF 68 0 Total 13832
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Table 6. Dedicated Sea trades.
MOSID MOS Environment Count Percentage 17 NW tech Navy 587 14 105 BOSN Navy 583 13 114 NCI OP Navy 482 11 115 NES OP Navy 431 10 116 NE TECH(A) Navy 248 6 117 NE TECH(C) Navy 344 8 118 NE TECH(T) Navy 464 11 119 NE TECH(M) Navy 72 2 121 MAR ENG ME Navy 459 11 122 MAR ENG TE Navy 378 9 123 MAR ENG AR Navy 277 6 Total 4325
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Table 7. Dedicated Land trades.
MOSID MOS Environment Count Percentage 5 Crewman Army 2143 9 8 Artyman‐F Army 1688 7 9 Artyman ‐A Army 273 1 10 Infantry Army 6534 26 15 Lineman Army 452 2 110 LC S TECH Army 1026 4 129 VEH TECH Army 2479 10 130 W TECH L Army 469 2 134 MAT TECH Army 300 1 150 MED A Army 1 0 169 AMMO TECH Army 213 1 178 ARMD Officer Army 631 3 179 ARTY officer Army 647 3 180 INF Officer Army 1349 5 181 ENGR officer Army 563 2
187 EME Army 486 2 191 DENT Army 163 1 327 EO TECH (L Army 456 2 329 SIG OP Army 1955 8 335 DENT TECH Army 215 1 339 CBT ENGR Army 1890 8
341 SIGS O Army 614 2 238 GEO TECH Army 227 1 Total 24774
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Table 8. Cross environment trades.
MOSID MOS Environment Count Percentage 99 Int OP Mixed 538 3 120 COMM RSCH Mixed 771 4 152 MLAB TECH Mixed 34 0 153 MRAD TECH Mixed 34 0 155 BE TECH Mixed 29 0 161 MP Mixed 1417 7 164 COOK Mixed 1097 5 166 MUSCN Mixed 227 1 167 POST CLK Mixed 141 1 168 SUP TECH Mixed 2645 13 170 TFC TECH Mixed 724 4 171 MSE OP Mixed 1770 9 172 GOL Mixed 79 0 175 General Officer Specialist Mixed 4 0 190 PHYSIO Mixed 41 0 192 HCA Mixed 174 1 193 HSO Mixed 58 0 194 PHARM Mixed 65 0 195 NUR O Mixed 349 2 196 MED O Mixed 321 2 197 BIO O Mixed 44 0 198 SOCW Mixed 39 0 203 PAO Mixed 181 1 204 LEGAL Mixed 165 1 208 PSEL Mixed 147 1 210 MUSIC O Mixed 14 0 211 TRG DEV Mixed 175 1 213 INT O Mixed 446 2 214 MPO Mixed 198 1 211 TRG ‐ cadets Mixed 56 0 298 RMS CLK Mixed 3125 16 301 RM TECH Mixed 128 1 302 ED TECH Mixed 135 1 303 EGS TECH Mixed 143 1
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MOSID MOS Environment Count Percentage 304 PH TECH Mixed 128 1 305 WFE TECH Mixed 93 0 306 CONST TECH Mixed 211 1 307 CE SUPT Mixed 162 1 322 CRT RPTR Mixed 6 0 328 LOG O Mixed 1941 10 334 MED TECH Mixed 1643 8 349 CHAPLAIN Mixed 239 1 CPO1CWOSAL Mixed 74 0 357 CBRN OP Mixed 99 0 Total 20110 100
The MOSIDs include combat trades and support trades. Combat trades wear specialized protective ensembles; operate combat systems and crew combat vehicles and aircraft. It is currently not known if there are morphological differences between CF members in operational trades, i.e. combat arms, than those in support trades. Given the importance of accurately representing the CF subpopulations that wear specialized equipment and crew combat systems, the proposed CF sampling approach will use operational MOSID as one of the stratification factors for the land and air environments.
For the purposes of this survey the Canadian Army’s combat trades will include the following MOSIDs: Crewman Artyman-F Artyman -A Infantry ARMD Officer ARTY officer INF Officer ENGR officer CBT ENGR
For the purposes of this survey the RCAF combat trades will include the following air crew MOSIDs (to be confirmed): Pilot AES Op
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ACSO Flt Engr SAR Tech
Unlike the Canadian Army or RCAF, the RCN operate out of large multi-crew vessels. The current plan is not to further stratify the RCN MOSIDs.
Given the relative importance of operational trades, the proposed plan is to sample twice the number of operational personnel than support trades.
3.6 Identifying a Representative Minimum Sample Size
The method for establishing minimum sample sizes for anthropometric databases is specified in the International Standard ISO 15535:2006(E). ISO 15535:2006(E) states that the sample size shall be estimated to be sufficient for the purposes of the anthropometric investigation. That is, for a study population to provide sufficient fidelity, to represent the true population in question between the 5th and 95th percentiles with 95% confidence. The general equation dictating the minimum number of randomly sampled subjects is presented below:
1.96 (1) 1.534
1.96 refers to the critical value (z value) from a standard normal distribution for a 95% confidence interval where;
a is the percentage of relative accuracy desired.
CV is the coefficient of variation and defined as: