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Allan R Sampson

Biographic Data

ID1662672
NAMEAllan R Sampson
GIVEN NAMESAllan R
FAMILY NAMESampson
SIGNATURESAMPSON A R
AFFILIATIONSFlorida State University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS7
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR1974
LATEST PUBLICATION YEAR2015
H-INDEX2
  • Hotelling, Harold (1895–1973)

    Open Access•Ingram Olkin, Allan R Sampson•CHAPTER•International Encyclopedia of the…•2015

  • Multiple correlation

    Constantine Gatsonis, Miwa Sento et al.•ARTICLE•Psychological Bulletin•1989•Cited by: 5

    This article discusses power and sample size calculations for observational studies in which the values of the independent variables cannot be fixed in advance but are themselves outcomes of the study. It reviews the mathematical framework applicable when a multivariate normal distribution can be assumed and describes a method for calculating exact power and sample sizes using a series expansion for the distribution of the multiple correlation co…

  • Post‐prison Success Prediction a Preliminary Florida Study

    Open Access•Allan R Sampson, ALLAN SAMPSON•ARTICLE•Criminology•1974•Cited by: 2•References: 6

    This preliminary study attempts to prepare the foundations for obtaining a valid predictive measure for the chance of “success” for a prisoner leaving the Florida penal system. A random sample of 200 Florida prison system releases is analyzed from several vantage points Parolee versus expvee popubtion differences are studied and a variant of the California Base Expectancy Scale is constructed for Florida. To overcome the weakness of utilizing the…

  • Multiple correlation

    Constantine Gatsonis, Miwa Sento et al.•ARTICLE•Psychological Bulletin•1989•Cited by: 5

    This article discusses power and sample size calculations for observational studies in which the values of the independent variables cannot be fixed in advance but are themselves outcomes of the study. It reviews the mathematical framework applicable when a multivariate normal distribution can be assumed and describes a method for calculating exact power and sample sizes using a series expansion for the distribution of the multiple correlation co…

  • Post‐prison Success Prediction a Preliminary Florida Study

    Open Access•Allan R Sampson, ALLAN SAMPSON•ARTICLE•Criminology•1974•Cited by: 2•References: 6

    This preliminary study attempts to prepare the foundations for obtaining a valid predictive measure for the chance of “success” for a prisoner leaving the Florida penal system. A random sample of 200 Florida prison system releases is analyzed from several vantage points Parolee versus expvee popubtion differences are studied and a variant of the California Base Expectancy Scale is constructed for Florida. To overcome the weakness of utilizing the…

  • Post‐prison Success Prediction a Preliminary Florida Study

    Open Access•Allan R Sampson, ALLAN SAMPSON•ARTICLE•Criminology•1974•Cited by: 2•References: 6

    This preliminary study attempts to prepare the foundations for obtaining a valid predictive measure for the chance of “success” for a prisoner leaving the Florida penal system. A random sample of 200 Florida prison system releases is analyzed from several vantage points Parolee versus expvee popubtion differences are studied and a variant of the California Base Expectancy Scale is constructed for Florida. To overcome the weakness of utilizing the…

  • Multiple correlation

    Constantine Gatsonis, Miwa Sento et al.•ARTICLE•Psychological Bulletin•1989•Cited by: 5

    This article discusses power and sample size calculations for observational studies in which the values of the independent variables cannot be fixed in advance but are themselves outcomes of the study. It reviews the mathematical framework applicable when a multivariate normal distribution can be assumed and describes a method for calculating exact power and sample sizes using a series expansion for the distribution of the multiple correlation co…

  • Hotelling, Harold (1895–1973)

    Open Access•Ingram Olkin, Allan R Sampson•CHAPTER•International Encyclopedia of the…•2015

Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Medicine (2 works) · Physics (2 works) · Psychology (2 works) · Statistics (2 works) · Anatomy (1 works) · Anatomy (1 works) · Biology (1 works)

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