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Validity and Reliability Dr. Voranuch Wangsuphachart Dept. of Social & Environmental Medicine Faculty of Tropical Medicine Mahodil University 420/6 Rajvithi Road Bangkok 10400, THAILAND E-mail. Objective: at the end of lecture, student would be able to:.
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Validity and Reliability • Dr. Voranuch Wangsuphachart • Dept. of Social & Environmental Medicine • Faculty of Tropical Medicine • Mahodil University • 420/6 Rajvithi Road • Bangkok 10400, THAILAND • E-mail
Objective: at the end of lecture, student would be able to: 1. Know concepts & definition of validity & reliability 2. List importance and impact of validity & reliability 3. Specify strategies to assess validity & reliability 4. List strategies to enhance validity & reliability 5. Describe major types of bias
Contents: 1. Validity 2. Reliability • Definition and synonyms • Important points • Accessing validity & reliability • Strategies to enhance validity & reliability 3. Major types of bias
Medical or epidemiological study, major consideration is to obtain: Valid measurement Reliable measurement on the exposure factors and outcomes of interest in the study population “WITHOUT BIAS and ERRORS”or to minimize them to the least as possible
To achieve a high standard quality study: Ensure right answers to study questions Good the study design Valid and reliable the measurements . Control for any possible bias Good cooperation between * research group and * study population
X11, x12, x13 X31, x32, x33 X21, x22, x23 X61, x62, x63 X41, x42, x43 X51, x52, x53 Screening for fasting blood cholesterol profile among people x1 x2 x3 x6 x4 x5
X11 X21 X31 X41 X51 X61 Screening for fasting blood cholesterol profile among people x1 x2 x3 x5 x6 x4
Instrument or Research Tool • “equipment hard ware” • a red blood cell counter • a PH meter • an electronic weighing machine • “paper ware” • a questionnaire • a weekly diet diary • “people ware” • observers/investigators • technicians
instrument tool measurement without bias or error minimize bias How good is the instrument or tool? • true value truth • measurement • valid/accurate • precise/reliable
What is accuracy & precision? • What do you think of first when talking about validity & reliability? • What is the different between validity & reliability? • Why are validity & reliability important in conducting any medical research - both in laboratory & field setting?
DEFINITION : A precise measurement in one that has nearly the same value each time it is measured SYNONYM • reliability • repeatability • reproducibility • consistency • agreement PRECISION
IMPORTANT POINTS • precision depends on: • sample size • efficiency of the study • VIP influence on the power of a study • precision, reliability and consistency affected byRANDOM ERROR
ASSESSING PRECISION • Using S.D.sVariance (s2) • Using Coefficient of variation = S.D. X • Using Kappa statistic • Using Cronbach's alpha
Strategies for enhancing precision 1. standardizing measurement methods • preparing study protocols • preparing operations manual • writing specific guidelines or instructions for making each measurement • serving as basis for describing methods when results are reported
Strategies for enhancing precision • preparing operations manual • write down precisely : - how to prepare environment and subject - how to carry out and record interview - how to calibrate instrument
Strategies for enhancing precision • writing specific guidelines or instructions for making the measurement uniform performance over the duration of study
Strategies for enhancing precision 2. Training and certifying the observers • improving consistency of measurement techniques (several observers) • performing pilot study • to test the power of techniques specified in operations manual
Strategies for enhancing precision 3. Refining the instruments • writing or spelling out questionnaires and interviews to increase clarity 4. Automating the instruments • using automatic mechanical devices
Strategies for enhancing precision 5. Repeating the measurement • impact of random error of any source can be reduced by • repeating measurement • using mean of the two or more readings
DEFINITION : The degree to which the results of a measurement correspond to the true state or truth SYNONYM: validity conformity ACCURACY
IMPORTANT POINTS • accuracy is a function of “SYSTEMATIC RROR” • VIP influence on theinternal and external validity of the study • the greater the systematic error, the less accurate the variable
IMPORTANT POINTS • It is attributed to: • Methodological aspect of study design or analysis • Selection of subject • Quality of information obtained • Confounding • Effect Modification • Misclassification
ASSESSING ACCURACY Comparison with reference techniques Gold standards
Strategies for enhancing accuracy 1. Standardizing measurement methods 2. Training and certifying the observers 3. Refining the instruments 4. Automating the instruments 5. Making informal measures 6. Blinding 7. Calibrating the instrument
MAJOR TYPES OF BIAS • Observer bias • Subject bias • Instrument bias • Information bias • Selection bias
MAJOR TYPES OF BIAS • Observer bias consistent distortion in reporting measurement by observer - more intensive measurements in certain subjects - ask questions about specific exposures several times of cases but only once of controls
MAJOR TYPES OF BIAS • Observer bias Ex. a tendency to underestimate blood pressure in cases known to be receiving treatment Ex. a more persistent search of medical records for a history of smoking cigarettes in patients known to have lung cancer
MAJOR TYPES OF BIAS • Subject bias consistent distortion of measurement bystudy subject - selective recall or reporting of an event respondent bias or recall bias
MAJOR TYPES OF BIAS • Instrument bias - may result from faulty function of a mechanical instrument - may result from inappropriate use of technique or tool to objective of measurement leading questions on questionnaire
MAJOR TYPES OF BIAS • Information bias a distortion in the estimate of effect or variable due to: * measurement error * misclassification of subjects on measurement variable * invalid measurement
MAJOR TYPES OF BIAS • Information bias * incorrect diagnostic criteria * inadequacies in previously recorded data * unequal diagnostic surveillance among exposure study groups in follow up studies
MAJOR TYPES OF BIAS • Selection bias a distortion in the estimate of effect resulting from how subjects are selected for study population “self-selection bias”
MAJOR TYPES OF BIAS Selection bias can result from: - choice of groups to be compared (in all types of studies) - choice of sampling frame - loss to follow up or NON RESPONSE during data collection (in follow-up studies)
MAJOR TYPES OF BIAS Selection bias can result from: - selective surveillance/diagnostic surveillance varies with exposure status - more intensive measurements in certain subjects
SUMMARY 1. Reliability : Precision, Reproducibility Random Error 2. Validity : Accuracy , Conformity Systematic Error Bias
MAJOR TYPES OF BIAS • Observer Bias • Subject BiasRecall Bias Respondent Bias • Instrument Bias • Information Bias • Selection Bias
Reliability Validity Reliabilityand validity of measurement The degree to which a variable actually represents what it is supposed to represent Definition The degree to which a variable has nearly the same value when measured several times Best way to assess Comparison among repeated measures Comparison with a reference standard
Reliability Validity Value to study Increase power to detect effects Increase validity of conclusions Threatened by Random error (variance) contributed by : Systematic error (Bias) contributed by : The observer The subject The instrument The observer The subject The instrument
. . . . . . . . . . . . . . . . . . . . . Illustration of the difference between Precision and Accuracy
. . . . . . . . . . . . . . . . . . . . good precision poor precision good precision poor precision poor accuracy good accuracy good accuracy poor accuracy Illustration of the difference between Precision and Accuracy
DIFFERENCES BETWEEN VALIDITY AND RELIABILITY Frequency A C Unreliable Invalid B D Measurement True value
DIFFERENCES BETWEEN VALIDITY AND RELIABILITY Frequency A C A- Valid and reliable B- Valid but not reliable C- Not valid but reliable D- Not valid and not reliable Unreliable Invalid B D Measurement True value