ASTM E691-2005 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method《测定试验方法精密性进行实验室间研究的标准实施规范》.pdf

《ASTM E691-2005 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method《测定试验方法精密性进行实验室间研究的标准实施规范》.pdf》由会员分享，可在线阅读，更多相关《ASTM E691-2005 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method《测定试验方法精密性进行实验室间研究的标准实施规范》.pdf（23页珍藏版）》请在麦多课文档分享上搜索。

1、Designation: E 691 05An American National StandardStandard Practice forConducting an Interlaboratory Study to Determine thePrecision of a Test Method1This standard is issued under the fixed designation E 691; the number immediately following the designation indicates the year oforiginal adoption or,

2、 in the case of revision, the year of last revision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon (e) indicates an editorial change since the last revision or reapproval.This standard has been approved for use by agencies of the Department of Defense.INTRODUCTI

3、ONTests performed on presumably identical materials in presumably identical circumstances do not, ingeneral, yield identical results. This is attributed to unavoidable random errors inherent in every testprocedure; the factors that may influence the outcome of a test cannot all be completely control

4、led. Inthe practical interpretation of test data, this inherent variability has to be taken into account. Forinstance, the difference between a test result and some specified value may be within that which canbe expected due to unavoidable random errors, in which case a real deviation from the speci

5、fied valuehas not been demonstrated. Similarly, the difference between test results from two batches of materialwill not indicate a fundamental quality difference if the difference is no more than can be attributedto inherent variability in the test procedure. Many different factors (apart from rand

6、om variationsbetween supposedly identical specimens) may contribute to the variability in application of a testmethod, including: a the operator, b equipment used, c calibration of the equipment, and denvironment (temperature, humidity, air pollution, etc.). It is considered that changing laboratori

7、eschanges each of the above factors. The variability between test results obtained by different operatorsor with different equipment will usually be greater than between test results obtained by a singleoperator using the same equipment. The variability between test results taken over a long period

8、oftime even by the same operator will usually be greater than that obtained over a short period of timebecause of the greater possibility of changes in each of the above factors, especially the environment.The general term for expressing the closeness of test results to the“ true” value or the accep

9、tedreference value is accuracy. To be of practical value, standard procedures are required for determiningthe accuracy of a test method, both in terms of its bias and in terms of its precision. This practiceprovides a standard procedure for determining the precision of a test method. Precision, when

10、evaluating test methods, is expressed in terms of two measurement concepts, repeatability andreproducibility. Under repeatability conditions the factors listed above are kept or remain reasonablyconstant and usually contribute only minimally to the variability. Under reproducibility conditions thefa

11、ctors are generally different (that is, they change from laboratory to laboratory) and usuallycontribute appreciably to the variability of test results. Thus, repeatability and reproducibility are twopractical extremes of precision.The repeatability measure, by excluding the factors a through d as c

12、ontributing variables, is notintended as a mechanism for verifying the ability of a laboratory to maintain“ in-control” conditionsfor routine operational factors such as operator-to-operator and equipment differences or any effectsof longer time intervals between test results. Such a control study i

13、s a separate issue for eachlaboratory to consider for itself, and is not a recommended part of an interlaboratory study.The reproducibility measure (including the factors a through d as sources of variability) reflectswhat precision might be expected when random portions of a homogeneous sample are

14、sent to random“in-control” laboratories.To obtain reasonable estimates of repeatability and reproducibility precision, it is necessary in aninterlaboratory study to guard against excessively sanitized data in the sense that only the uniquelybest operators are involved or that a laboratory takes unus

15、ual steps to get“ good” results. It is alsoimportant to recognize and consider how to treat “poor” results that may have unacceptable assignable1Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.causes (for example, departures from the

16、prescribed procedure). The inclusion of such results in thefinal precision estimates might be questioned.An essential aspect of collecting useful consistent data is careful planning and conduct of the study.Questions concerning the number of laboratories required for a successful study as well as th

17、e numberof test results per laboratory affect the confidence in the precision statements resulting from the study.Other issues involve the number, range, and types of materials to be selected for the study, and theneed for a well-written test method and careful instructions to the participating labo

18、ratories.To evaluate the consistency of the data obtained in an interlaboratory study, two statistics may beused: the “k-value”, used to examine the consistency of the within-laboratory precision fromlaboratory to laboratory, and the “h-value”, used to examine the consistency of the test results fro

19、mlaboratory to laboratory. Graphical as well as tabular diagnostic tools help in these examinations.1. Scope1.1 This practice describes the techniques for planning,conducting, analyzing, and treating the results of an interlabo-ratory study (ILS) of a test method. The statistical techniquesdescribed

20、 in this practice provide adequate information forformulating the precision statement of a test method.1.1.1 A computer software package for performing thecalculations and producing the tables and graphs associatedwith Practice E 691. This software can be run on PC compat-ible computers, and hard co

21、py tables and graphs can be printedon dot-matrix printers.1.2 This practice does not concern itself with the develop-ment of test methods but rather with gathering the informationneeded for a test method precision statement after the devel-opment stage has been successfully completed. The dataobtain

22、ed in the interlaboratory study may indicate, however,that further effort is needed to improve the test method.1.3 Since the primary purpose of this practice is the devel-opment of the information needed for a precision statement, theexperimental design in this practice may not be optimum forevaluat

23、ing materials, apparatus, or individual laboratories.1.4 Field of ApplicationThis practice is concerned exclu-sively with test methods which yield a single numerical figureas the test result, although the single figure may be the outcomeof a calculation from a set of measurements.1.4.1 This practice

24、 does not cover methods in which themeasurement is a categorization, such as a go-no-go allocation(two categories) or a sorting scheme into two or morecategories. For practical purposes, the discontinuous nature ofmeasurements of these types may be ignored when a test resultis defined as an average

25、of several individual measurements.Then, this practice may be applicable, but caution is requiredand a statistician should be consulted.1.5 The information in this practice is arranged as follows:SectionScope 1Referenced Documents 2Terminology 3Summary of Practice 4Significance and Use 5Planning the

26、 Interlaboratory Study (ILS)ILS Membership 6Basic Design 7Test Method 8Laboratories 9SectionMaterials 10Number of Test Results per Material 11Protocol 12Conducting the Testing Phase of the ILSPilot Run 13Full Scale Run 14SectionCalculation and Display of StatisticsCalculation of the Statistics 15Tab

27、ular and Graphical Display of Statistics 16Data ConsistencyFlagging Inconsistent Results 17Investigation 18Task Group Actions 19Examples of Interlaboratory Studies 20Precision Statement InformationRepeatability and Reproducibility 21AppendixesTheoretical Considerations A1Index to Selected Terms A2Re

28、ferencesTables and FiguresTables TableGlucose in Serum Example 14 that the loss or poor performance of a few will notbe fatal to the study, and to provide a reasonably satisfactoryestimate of the reproducibility.9.1.2 Under no circumstances should the final statementof precision of a test method be

29、based on acceptable testresults for each material from fewer than 6 laboratories.This would require that the ILS begin with 8 or morelaboratories in order to allow for attrition.9.1.3 The examples given in this practice include only 8 and7 laboratories, respectively. These numbers are smaller thanor

30、dinarily considered acceptable, but they are convenient forillustrating the calculations and treatment of the data.9.2 Any laboratory considered qualified to run the testroutinely (including laboratories that may not be members ofASTM) should be encouraged to participate in the ILS, if thepreparator

31、y work is not excessive and enough suitably homo-geneous material is available. In order to obtain an adequatenumber of participating laboratories, advertise the proposedILS in where appropriate (for example, trade magazines,meetings, circulars, etc.).9.3 “Qualified” implies proper laboratory facili

32、ties and test-ing equipment, competent operators, familiarity with the testmethod, a reputation for reliable testing work, and sufficienttime and interest to do a good job. If a laboratory meets all theother requirements, but has had insufficient experience with thetest method, the operator in that

33、laboratory should be given anopportunity to familiarize himself with the test method andpractice its application before the ILS starts. For example, thisexperience can be obtained by a pilot run (see Section 13)using one or two trialsamples provided by the task group andreturning the raw data and th

34、e test results to the task group.The importance of this familiarization step cannot beoveremphasized. Many interlaboratory studies have turnedout to be essentially worthless due to lack of familiarization.9.4 Obtain written ensurance from each potential participat-ing laboratory that it is properly

35、equipped to follow all thedetails of the procedure and is willing to assign the work to askilled operator in a timely manner. The decision of a labora-tory to participate should be recorded on a response form to awritten invitation. The invitation should include informationcovering the required time

36、 for calibrating the apparatus and fortesting all of the materials, and other possible costs. Theresponse form should include the name, address, and telephonenumber of the person supervising the ILS work within thelaboratory, the address and other markings required to ensurethe ILS sample material w

37、ill be promptly delivered to the ILSsupervisor, answers to brief questions concerning equipment,environment, and personnel, including previous use of the testmethod, upon which the apparent competence of the laboratorymay be judged, and an affirmation that the laboratory under-stands what is involve

38、d and agrees to carry out its responsi-bilities with diligence.9.5 The ILS should not be restricted to a group of labora-tories judged to be exceptionally qualified and equipped for theILS. Precision estimates for inclusion in a test method shouldbe obtained through the efforts of qualified laborato

39、ries andpersonnel operating under conditions that will prevail when thetest method is used in practice.10. Materials10.1 Material designates anything with a property that canbe measured. Different materials having the same property maybe expected to have different property levels, meaning higheror l

40、ower values of the property. Different dilutions of the sameTABLE 1 Glucose in Serum ILS Test Result DataLaboratoryMaterialABCDE1 41.0341.4541.3778.2878.1878.49132.66133.83133.10193.71193.59193.65292.78294.09292.892 41.1742.0041.1577.7880.3879.54132.92136.90136.40190.88200.14194.30292.27309.40295.08

41、3 41.0140.6842.6679.1879.7280.81132.61135.80135.36192.71193.28190.28295.53290.14292.344 39.3742.3742.6384.0878.6081.92138.50148.30135.69195.85196.36199.43295.19295.44296.835 41.8841.1941.3278.1679.5878.33131.90134.14133.76192.59191.44195.12293.93292.48294.286 43.2840.5042.2878.6679.2781.75137.21135.

42、14137.50195.34198.26198.13297.74296.80290.337 41.0841.2739.0279.7681.4577.35130.97131.59134.92194.66191.99187.13287.29293.76289.368 43.3642.6541.7280.4480.8079.80135.46135.14133.63197.56195.99200.82298.46295.28296.12E691055material or compound to be assayed are considered“ differentmaterials” for th

43、e purpose of this practice. The terminology“different levels of material” may be used, if appropriate.10.2 The number and type of materials to be included in anILS will depend on the range of the levels in the class ofmaterials to be tested and likely relation of precision to levelover that range, t

44、he number of different types of materials towhich the test method is to be applied, the difficulty andexpense involved in obtaining, processing, and distributingsamples, the difficulty of, length of time required for, andexpense of performing the test, the commercial or legal needfor obtaining a rel

45、iable and comprehensive estimate of preci-sion, and the uncertainty of prior information on any of thesepoints.10.2.1 For example, if it is already known that the precisionis either relatively constant or proportional to the average levelover the range of values of interest, a smaller number ofmater

46、ials will be needed than if it is merely known that theprecision is different at different levels. The ruggedness test(see 8.2) and the preliminary pilot program (see Section 13)help to settle some of these questions, and may often result inthe saving of considerable time and expense in the full ILS

47、.10.2.2 An ILS of a test method should include at least threematerials representing different test levels, and for develop-ment of broadly applicable precision statements, six or morematerials should be included in the study.10.2.3 The materials involved in any one ILS should differprimarily only in

48、 the level of the property measured by the testmethod. When it is known, or suspected, that different classesof materials will exhibit different levels of precision whentested by the test method, consideration should be given toconducting separate interlaboratory studies for each class ofmaterial.10

49、.3 Each material in an ILS should be made to be orselected to be as homogeneous as possible prior to its subdi-vision into test units or test specimens (see ). If the random-ization and distribution of individual test specimens (ratherthan test units) does not conflict with the procedure forpreparing the sample for test, as specified in the test method,greater homogeneity between test units can be achieved byrandomizing test specimens. Then each test unit would becomposed of the required number of randomized test speci-mens. (See Section 11 and 14.1 for the quantity of eachmaterial need