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Joseph L Fleiss

Biographic Data

ID5971026
NAMEJoseph L Fleiss
GIVEN NAMESJoseph L
FAMILY NAMEFleiss
SIGNATUREFLEISS J L
AFFILIATIONSNew York State Department of State
VERIFIEDNo
TOTAL WORKS19
TOTAL CITATIONS927
AUTHOR COUNT19
EDITOR COUNT0
FIRST PUBLICATION YEAR1967
LATEST PUBLICATION YEAR2003
H-INDEX5
  • Statistical Methods for Rates and Proportions

    Open Access•Joseph L Fleiss, Bruce Levin et al.•BOOK•Statistical methods for rates and…•2003

    Preface.Preface to the Second Edition.Preface to the First Edition.1. An Introduction to Applied Probability.2. Statistical Inference for a Single Proportion.3. Assessing Significance in a Fourfold Table.4. Determining Sample Sizes Needed to Detect a Difference Between Two Proportions.5. How to Randomize.6. Comparative Studies: Cross-Sectional, Naturalistic, or Multinomial Sampling.7. Comparative Studies: Prospective and Retrospective Sampling.8.…

  • Significance tests have a role in epidemiologic research: Reactions to A. M. Walker

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 20•References: 6

    Significance tests have a role in epidemiologic research: reactions to A. M. Walker. J L FleissCopyRight https://doi.org/10.2105/AJPH.76.5.559 Published Online: October 07, 2011

  • Dr. Fleiss Responds

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 1•References: 3

    Dr. Fleiss Responds Joseph L. Fleiss CopyRight https://doi.org/10.2105/AJPH.76.8.1033-a Published Online: October 07, 2011

  • Confidence intervals vs significance tests: Quantitative interpretation

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 11•References: 1

    Confidence intervals vs significance tests: quantitative interpretation. J L FleissCopyRight https://doi.org/10.2105/AJPH.76.5.587 Published Online: October 07, 2011

  • Balanced Incomplete Block Designs for Inter-Rater Reliability Studies

    Open Access•Joseph L Fleiss•ARTICLE•Applied Psychological Measurement•1981

    Occasionally, an inter-rater reliability study must be designed so that each subject is rated by fewer than all the participating raters. If there is interest in comparing the raters' mean levels of rating, and if it is desired that each mean be estimated with the same precision, then a balanced incomplete block design for the reliability study is indicated. Methods for executing the design and for analyzing the resulting data are presented, usin…

  • Large sample variance of kappa in the case of different sets of raters

    Joseph L Fleiss, John C Nee et al.•ARTICLE•Psychological Bulletin•1979

  • Large sample variance of kappa in the case of different sets of raters

    Joseph L Flei, Joseph L Fleiss et al.•ARTICLE•Psychological Bulletin•1979•Cited by: 4

    Published formulas for the large sample variance of the kappa statistic that are appropriate for the case of different sets of raters for different Ss, when each set of raters is selected at random from a larger pool of available raters, are determined to be incorrect. New formulas are derived and c

  • Intraclass correlations: Uses in assessing rater reliability

    Patrick E Shrout, Joseph L Flei et al.•ARTICLE•Psychological Bulletin•1979•Cited by: 751•References: 1

    Reliability coefficients often take the form of intraclass correlation coefficients. In this article, guidelines are given for choosing among six different forms of the intraclass correlation for reliability studies in which n target are rated by k judges. Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be made of the reliability results. Confidence intervals for each of t…

  • The effects of measurement errors on some multivariate procedures

    Joseph L Fleiss, Patrick E Shrout•ARTICLE•American Journal of Public Health•1977•Cited by: 5•References: 9

    The effects of random errors of measurement on a variety of basic multivariate procedures are discussed. For some procedures, the effect is one of attenuation (i.e., simply reducing the estimated strength of association). For others, the effect may be to alter the apparent direction of association. Some proposed solutions to the problems caused by errors of measurement are presented, and areas requiring further research are pointed out

  • Pathways to the hospital for the geriatric psychiatric patient in New York and London

    Robert J Simon, Judy Kuriansky et al.•ARTICLE•American Journal of Public Health•1976•References: 4

    This communication examines the pathways of geriatric psychiatric patients in New York and London from the time of onset of a psychiatric episode to hospitalization. Informants of 50 patients in each city were interviewed with a semi-structured interview covering the events and the patient's activities prior to hospitalization. The results show that the time from the onset of the episode to hospitalization is significantly shorter in London than …

  • The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability

    Open Access•Joseph L Fleiss, Jacob Cohen•ARTICLE•Educational and Psychological…•1973

  • Cross-National Study of Diagnosis of the Mental Disorders: Some Demographic Correlates of Hospital Diagnosis in New York and London

    Open Access•Joseph L Fleiss, Barry J Gurland et al.•ARTICLE•International Journal of Social…•1973

  • The Study of the Psychiatric Symptoms of Systemic Lupus Erythematosus: A Critical Review

    Barry J Gurland, Vivian Hoff Ganz et al.•ARTICLE•Psychosomatic Medicine•1972

    This paper critically reviews studies of psychiatric symptoms in systemic lupus erythematosus. Reported findings vary by chronologic order of publication, clinical orientation of the author, mode of selecting cases and method of examination. This variation in findings reflects errors of method, the most common of which are biased selection of subjects, lack of comparison groups, unreliable recording of observations on the patient and inconsistent…

  • Measuring nominal scale agreement among many raters

    Joseph L Flei, Joseph L Fleiss•ARTICLE•Psychological Bulletin•1971•Cited by: 121

  • On the asserted invariance of the odds ratio

    Joseph L Fleiss•ARTICLE•Journal of Epidemiology and…•1970•References: 2

    Group 1 Px 1-Px Group 2 P2 l-P2 The measure of association for the four-fold table most frequently employed by epidemiologists is the odds ratio (also termed the cross-product ratio and the approximate relative risk), to = Px (l-P2)IP2 (1-Pi). The odds ratio has been studied by Cornfield (1956) and by Mantel and Haenszel (1959). Edwards (1966) claims a certain invariance property for the odds ratio. He asserts that if a characteristic is normally…

  • On the Methods and Theory of Clustering

    Joseph L Fleiss, Joseph Zubin•ARTICLE•Multivariate Behavioral Research•1969

    The need for methods of clustering individuals into homogeneous groups seems clear. One hopes, by applying them to his data, to discover clusterings which may prove to be important. This aim appears straightforward, but the methods which exist do not necessarily satisfy them. The procedures which employ the correlation measure of profile similarity, and those which employ the distance measure are discussed. Technical and logical problems are show…

  • Estimating the magnitude of experimental effects

    Joseph L Fleiss•ARTICLE•Psychological Bulletin•1969

  • Large sample standard errors of kappa and weighted kappa

    Joseph L Flei, Joseph L Fleiss et al.•ARTICLE•Psychological Bulletin•1969•Cited by: 14

    The statistics kappa (Cohen, 1960) and weighted kappa (Cohen, 1968) were introduced to provide coefficients of agreement between two raters for nominal scales. Kappa is appropriate when all disagreements may be considered equally serious, and weighted kappa is appropriate when the relative seriousness of the different possible disagreements can be specified. The papers describing these two statistics also present expressions for their standard er…

  • A Fortran IV Program for the Analysis of Demographic, Item, and Scale Data

    Open Access•Joseph L Fleiss, Robert L Spitzer et al.•ARTICLE•Educational and Psychological…•1967

  • Intraclass correlations: Uses in assessing rater reliability

    Patrick E Shrout, Joseph L Flei et al.•ARTICLE•Psychological Bulletin•1979•Cited by: 751•References: 1

    Reliability coefficients often take the form of intraclass correlation coefficients. In this article, guidelines are given for choosing among six different forms of the intraclass correlation for reliability studies in which n target are rated by k judges. Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be made of the reliability results. Confidence intervals for each of t…

  • Measuring nominal scale agreement among many raters

    Joseph L Flei, Joseph L Fleiss•ARTICLE•Psychological Bulletin•1971•Cited by: 121

  • Significance tests have a role in epidemiologic research: Reactions to A. M. Walker

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 20•References: 6

    Significance tests have a role in epidemiologic research: reactions to A. M. Walker. J L FleissCopyRight https://doi.org/10.2105/AJPH.76.5.559 Published Online: October 07, 2011

  • Large sample standard errors of kappa and weighted kappa

    Joseph L Flei, Joseph L Fleiss et al.•ARTICLE•Psychological Bulletin•1969•Cited by: 14

    The statistics kappa (Cohen, 1960) and weighted kappa (Cohen, 1968) were introduced to provide coefficients of agreement between two raters for nominal scales. Kappa is appropriate when all disagreements may be considered equally serious, and weighted kappa is appropriate when the relative seriousness of the different possible disagreements can be specified. The papers describing these two statistics also present expressions for their standard er…

  • Confidence intervals vs significance tests: Quantitative interpretation

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 11•References: 1

    Confidence intervals vs significance tests: quantitative interpretation. J L FleissCopyRight https://doi.org/10.2105/AJPH.76.5.587 Published Online: October 07, 2011

  • The effects of measurement errors on some multivariate procedures

    Joseph L Fleiss, Patrick E Shrout•ARTICLE•American Journal of Public Health•1977•Cited by: 5•References: 9

    The effects of random errors of measurement on a variety of basic multivariate procedures are discussed. For some procedures, the effect is one of attenuation (i.e., simply reducing the estimated strength of association). For others, the effect may be to alter the apparent direction of association. Some proposed solutions to the problems caused by errors of measurement are presented, and areas requiring further research are pointed out

  • Large sample variance of kappa in the case of different sets of raters

    Joseph L Flei, Joseph L Fleiss et al.•ARTICLE•Psychological Bulletin•1979•Cited by: 4

    Published formulas for the large sample variance of the kappa statistic that are appropriate for the case of different sets of raters for different Ss, when each set of raters is selected at random from a larger pool of available raters, are determined to be incorrect. New formulas are derived and c

  • Dr. Fleiss Responds

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 1•References: 3

    Dr. Fleiss Responds Joseph L. Fleiss CopyRight https://doi.org/10.2105/AJPH.76.8.1033-a Published Online: October 07, 2011

  • A Fortran IV Program for the Analysis of Demographic, Item, and Scale Data

    Open Access•Joseph L Fleiss, Robert L Spitzer et al.•ARTICLE•Educational and Psychological…•1967

  • On the Methods and Theory of Clustering

    Joseph L Fleiss, Joseph Zubin•ARTICLE•Multivariate Behavioral Research•1969

    The need for methods of clustering individuals into homogeneous groups seems clear. One hopes, by applying them to his data, to discover clusterings which may prove to be important. This aim appears straightforward, but the methods which exist do not necessarily satisfy them. The procedures which employ the correlation measure of profile similarity, and those which employ the distance measure are discussed. Technical and logical problems are show…

  • Estimating the magnitude of experimental effects

    Joseph L Fleiss•ARTICLE•Psychological Bulletin•1969

  • Large sample standard errors of kappa and weighted kappa

    Joseph L Flei, Joseph L Fleiss et al.•ARTICLE•Psychological Bulletin•1969•Cited by: 14

    The statistics kappa (Cohen, 1960) and weighted kappa (Cohen, 1968) were introduced to provide coefficients of agreement between two raters for nominal scales. Kappa is appropriate when all disagreements may be considered equally serious, and weighted kappa is appropriate when the relative seriousness of the different possible disagreements can be specified. The papers describing these two statistics also present expressions for their standard er…

  • On the asserted invariance of the odds ratio

    Joseph L Fleiss•ARTICLE•Journal of Epidemiology and…•1970•References: 2

    Group 1 Px 1-Px Group 2 P2 l-P2 The measure of association for the four-fold table most frequently employed by epidemiologists is the odds ratio (also termed the cross-product ratio and the approximate relative risk), to = Px (l-P2)IP2 (1-Pi). The odds ratio has been studied by Cornfield (1956) and by Mantel and Haenszel (1959). Edwards (1966) claims a certain invariance property for the odds ratio. He asserts that if a characteristic is normally…

  • Measuring nominal scale agreement among many raters

    Joseph L Flei, Joseph L Fleiss•ARTICLE•Psychological Bulletin•1971•Cited by: 121

  • The Study of the Psychiatric Symptoms of Systemic Lupus Erythematosus: A Critical Review

    Barry J Gurland, Vivian Hoff Ganz et al.•ARTICLE•Psychosomatic Medicine•1972

    This paper critically reviews studies of psychiatric symptoms in systemic lupus erythematosus. Reported findings vary by chronologic order of publication, clinical orientation of the author, mode of selecting cases and method of examination. This variation in findings reflects errors of method, the most common of which are biased selection of subjects, lack of comparison groups, unreliable recording of observations on the patient and inconsistent…

  • The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability

    Open Access•Joseph L Fleiss, Jacob Cohen•ARTICLE•Educational and Psychological…•1973

  • Cross-National Study of Diagnosis of the Mental Disorders: Some Demographic Correlates of Hospital Diagnosis in New York and London

    Open Access•Joseph L Fleiss, Barry J Gurland et al.•ARTICLE•International Journal of Social…•1973

  • Pathways to the hospital for the geriatric psychiatric patient in New York and London

    Robert J Simon, Judy Kuriansky et al.•ARTICLE•American Journal of Public Health•1976•References: 4

    This communication examines the pathways of geriatric psychiatric patients in New York and London from the time of onset of a psychiatric episode to hospitalization. Informants of 50 patients in each city were interviewed with a semi-structured interview covering the events and the patient's activities prior to hospitalization. The results show that the time from the onset of the episode to hospitalization is significantly shorter in London than …

  • The effects of measurement errors on some multivariate procedures

    Joseph L Fleiss, Patrick E Shrout•ARTICLE•American Journal of Public Health•1977•Cited by: 5•References: 9

    The effects of random errors of measurement on a variety of basic multivariate procedures are discussed. For some procedures, the effect is one of attenuation (i.e., simply reducing the estimated strength of association). For others, the effect may be to alter the apparent direction of association. Some proposed solutions to the problems caused by errors of measurement are presented, and areas requiring further research are pointed out

  • Large sample variance of kappa in the case of different sets of raters

    Joseph L Fleiss, John C Nee et al.•ARTICLE•Psychological Bulletin•1979

  • Large sample variance of kappa in the case of different sets of raters

    Joseph L Flei, Joseph L Fleiss et al.•ARTICLE•Psychological Bulletin•1979•Cited by: 4

    Published formulas for the large sample variance of the kappa statistic that are appropriate for the case of different sets of raters for different Ss, when each set of raters is selected at random from a larger pool of available raters, are determined to be incorrect. New formulas are derived and c

  • Intraclass correlations: Uses in assessing rater reliability

    Patrick E Shrout, Joseph L Flei et al.•ARTICLE•Psychological Bulletin•1979•Cited by: 751•References: 1

    Reliability coefficients often take the form of intraclass correlation coefficients. In this article, guidelines are given for choosing among six different forms of the intraclass correlation for reliability studies in which n target are rated by k judges. Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be made of the reliability results. Confidence intervals for each of t…

  • Balanced Incomplete Block Designs for Inter-Rater Reliability Studies

    Open Access•Joseph L Fleiss•ARTICLE•Applied Psychological Measurement•1981

    Occasionally, an inter-rater reliability study must be designed so that each subject is rated by fewer than all the participating raters. If there is interest in comparing the raters' mean levels of rating, and if it is desired that each mean be estimated with the same precision, then a balanced incomplete block design for the reliability study is indicated. Methods for executing the design and for analyzing the resulting data are presented, usin…

  • Significance tests have a role in epidemiologic research: Reactions to A. M. Walker

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 20•References: 6

    Significance tests have a role in epidemiologic research: reactions to A. M. Walker. J L FleissCopyRight https://doi.org/10.2105/AJPH.76.5.559 Published Online: October 07, 2011

  • Dr. Fleiss Responds

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 1•References: 3

    Dr. Fleiss Responds Joseph L. Fleiss CopyRight https://doi.org/10.2105/AJPH.76.8.1033-a Published Online: October 07, 2011

  • Confidence intervals vs significance tests: Quantitative interpretation

    Joseph L Fleiss•ARTICLE•American Journal of Public Health•1986•Cited by: 11•References: 1

    Confidence intervals vs significance tests: quantitative interpretation. J L FleissCopyRight https://doi.org/10.2105/AJPH.76.5.587 Published Online: October 07, 2011

  • Statistical Methods for Rates and Proportions

    Open Access•Joseph L Fleiss, Bruce Levin et al.•BOOK•Statistical methods for rates and…•2003

    Preface.Preface to the Second Edition.Preface to the First Edition.1. An Introduction to Applied Probability.2. Statistical Inference for a Single Proportion.3. Assessing Significance in a Fourfold Table.4. Determining Sample Sizes Needed to Detect a Difference Between Two Proportions.5. How to Randomize.6. Comparative Studies: Cross-Sectional, Naturalistic, or Multinomial Sampling.7. Comparative Studies: Prospective and Retrospective Sampling.8.…

Mathematics (14 works) · Statistics (13 works) · Psychology (12 works) · Medicine (7 works) · Reliability and Agreement in Measurement (7 works) · Computer Science (5 works) · Econometrics (5 works) · Advanced Statistical Methods and Models (4 works) · Hemodynamic Monitoring and Therapy (4 works) · Kappa (4 works)

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