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William D Perreault

Biographic Data

ID3816946
NAMEWilliam D Perreault
GIVEN NAMESWilliam D
FAMILY NAMEPerreault
SIGNATUREPERREAULT W D
AFFILIATIONSUniversity of North Carolina at Chapel Hill
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS37
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR1975
LATEST PUBLICATION YEAR1991
H-INDEX4
  • Collinearity, Power, and Interpretation of Multiple Regression Analysis

    Open Access•Charlotte H Mason, William D Perreault•ARTICLE•Journal of Marketing Research•1991

    Multiple regression analysis is one of the most widely used statistical procedures for both scholarly and applied marketing research. Yet, correlated predictor variables—and potential collinearity effects—are a common concern in interpretation of regression estimates. Though the literature on ways of coping with collinearity is extensive, relatively little effort has been made to clarify the conditions under which collinearity affects estimates d…

  • Reliability of Nominal Data Based on Qualitative Judgments

    Open Access•William D Perreault, Laurence E Leigh•ARTICLE•Journal of Marketing Research•1989

    Most research related to the reliability and validity of marketing measures has focused on multi-item quantitative scales. In contrast, little attention has been given to the quality of nominal scale data developed from qualitative judgments. Judgment-based (“coded”) nominal scale data are important and frequently used in marketing research-for example, in analysis of consumer responses to open-ended survey questions, in cognitive response resear…

  • Reliability of Nominal Data Based on Qualitative Judgments

    William D Perreault, Laurence E Leigh•ARTICLE•Journal of Marketing Research•1989

    Most research related to the reliability and validity of marketing measures has focused on multi-item quantitative scales. In contrast, little attention has been given to the quality of nominal sca...

  • Influence strategy mixes in complex organizations

    Open Access•William D Perreault, Robert H Miles•ARTICLE•Systems Research and Behavioral…•1978•Cited by: 8•References: 6

    This paper proposes and evaluates a model of the choice and context of individual influence strategy mixes between dyads in complex organizational systems. Such influence strategy mixes are relevant to dyads from the same work group subsystem and from different work group subsystems, as well as to dyads from different organizational systems. An empirical taxonomy of influence strategy mixes is developed and the choice of a particular influence mi…

  • A Psychographic Classification of Vacation Life Styles

    William D Perreault, Donna K Darden et al.•ARTICLE•Journal of Leisure Research•1977•Cited by: 13•References: 3

    This paper suggests that psychographic scales can be used to operationalize and test Feldman and Thielbar's contentions about vacation life styles. The approach involves use of the leisure literature and focused group interviews to generate a pool of psychographic statements that reflect vacation activities, interests, and opinions (AIOs). These are then pretested, scaled and used on the final questionnaire. Using hierarchical cluster procedures,…

  • A Multivariate Analysis of Media Exposure and Vacation Behavior with Life Style Covariates

    William R Darden, William D Perreault et al.•ARTICLE•Journal of Consumer Research•1975•Cited by: 5

    Two different multivariate analysis of variance (MANOVA) models are used to examine the relationship between selected media exposure groups and market behaviors. The dependent vector variable in the first model is vacation behaviors which is adjusted for covariance with interest-specific AIO measures in the second model

  • Controlling Order-Effect Bias

    William D Perreault, Jr William D Perreault•ARTICLE•Public Opinion Quarterly•1975•Cited by: 11

    CONTROLLING ORDER-EFFECT BIAS WILLIAM D. PERREAULT, JR WILLIAM D. PERREAULT, JR *The author is Assistant Professor of Marketing in the College of Business Administration, University of Georgia, Athens Search for other works by this author on: Oxford Academic Google Scholar Public Opinion Quarterly, Volume 39, Issue 4, WINTER 1975, Pages 544–551, https://doi.org/10.1086/268251 Published: 01 January 1975

  • A Psychographic Classification of Vacation Life Styles

    William D Perreault, Donna K Darden et al.•ARTICLE•Journal of Leisure Research•1977•Cited by: 13•References: 3

    This paper suggests that psychographic scales can be used to operationalize and test Feldman and Thielbar's contentions about vacation life styles. The approach involves use of the leisure literature and focused group interviews to generate a pool of psychographic statements that reflect vacation activities, interests, and opinions (AIOs). These are then pretested, scaled and used on the final questionnaire. Using hierarchical cluster procedures,…

  • Controlling Order-Effect Bias

    William D Perreault, Jr William D Perreault•ARTICLE•Public Opinion Quarterly•1975•Cited by: 11

    CONTROLLING ORDER-EFFECT BIAS WILLIAM D. PERREAULT, JR WILLIAM D. PERREAULT, JR *The author is Assistant Professor of Marketing in the College of Business Administration, University of Georgia, Athens Search for other works by this author on: Oxford Academic Google Scholar Public Opinion Quarterly, Volume 39, Issue 4, WINTER 1975, Pages 544–551, https://doi.org/10.1086/268251 Published: 01 January 1975

  • Influence strategy mixes in complex organizations

    Open Access•William D Perreault, Robert H Miles•ARTICLE•Systems Research and Behavioral…•1978•Cited by: 8•References: 6

    This paper proposes and evaluates a model of the choice and context of individual influence strategy mixes between dyads in complex organizational systems. Such influence strategy mixes are relevant to dyads from the same work group subsystem and from different work group subsystems, as well as to dyads from different organizational systems. An empirical taxonomy of influence strategy mixes is developed and the choice of a particular influence mi…

  • A Multivariate Analysis of Media Exposure and Vacation Behavior with Life Style Covariates

    William R Darden, William D Perreault et al.•ARTICLE•Journal of Consumer Research•1975•Cited by: 5

    Two different multivariate analysis of variance (MANOVA) models are used to examine the relationship between selected media exposure groups and market behaviors. The dependent vector variable in the first model is vacation behaviors which is adjusted for covariance with interest-specific AIO measures in the second model

  • A Multivariate Analysis of Media Exposure and Vacation Behavior with Life Style Covariates

    William R Darden, William D Perreault et al.•ARTICLE•Journal of Consumer Research•1975•Cited by: 5

    Two different multivariate analysis of variance (MANOVA) models are used to examine the relationship between selected media exposure groups and market behaviors. The dependent vector variable in the first model is vacation behaviors which is adjusted for covariance with interest-specific AIO measures in the second model

  • Controlling Order-Effect Bias

    William D Perreault, Jr William D Perreault•ARTICLE•Public Opinion Quarterly•1975•Cited by: 11

    CONTROLLING ORDER-EFFECT BIAS WILLIAM D. PERREAULT, JR WILLIAM D. PERREAULT, JR *The author is Assistant Professor of Marketing in the College of Business Administration, University of Georgia, Athens Search for other works by this author on: Oxford Academic Google Scholar Public Opinion Quarterly, Volume 39, Issue 4, WINTER 1975, Pages 544–551, https://doi.org/10.1086/268251 Published: 01 January 1975

  • A Psychographic Classification of Vacation Life Styles

    William D Perreault, Donna K Darden et al.•ARTICLE•Journal of Leisure Research•1977•Cited by: 13•References: 3

    This paper suggests that psychographic scales can be used to operationalize and test Feldman and Thielbar's contentions about vacation life styles. The approach involves use of the leisure literature and focused group interviews to generate a pool of psychographic statements that reflect vacation activities, interests, and opinions (AIOs). These are then pretested, scaled and used on the final questionnaire. Using hierarchical cluster procedures,…

  • Influence strategy mixes in complex organizations

    Open Access•William D Perreault, Robert H Miles•ARTICLE•Systems Research and Behavioral…•1978•Cited by: 8•References: 6

    This paper proposes and evaluates a model of the choice and context of individual influence strategy mixes between dyads in complex organizational systems. Such influence strategy mixes are relevant to dyads from the same work group subsystem and from different work group subsystems, as well as to dyads from different organizational systems. An empirical taxonomy of influence strategy mixes is developed and the choice of a particular influence mi…

  • Reliability of Nominal Data Based on Qualitative Judgments

    Open Access•William D Perreault, Laurence E Leigh•ARTICLE•Journal of Marketing Research•1989

    Most research related to the reliability and validity of marketing measures has focused on multi-item quantitative scales. In contrast, little attention has been given to the quality of nominal scale data developed from qualitative judgments. Judgment-based (“coded”) nominal scale data are important and frequently used in marketing research-for example, in analysis of consumer responses to open-ended survey questions, in cognitive response resear…

  • Reliability of Nominal Data Based on Qualitative Judgments

    William D Perreault, Laurence E Leigh•ARTICLE•Journal of Marketing Research•1989

    Most research related to the reliability and validity of marketing measures has focused on multi-item quantitative scales. In contrast, little attention has been given to the quality of nominal sca...

  • Collinearity, Power, and Interpretation of Multiple Regression Analysis

    Open Access•Charlotte H Mason, William D Perreault•ARTICLE•Journal of Marketing Research•1991

    Multiple regression analysis is one of the most widely used statistical procedures for both scholarly and applied marketing research. Yet, correlated predictor variables—and potential collinearity effects—are a common concern in interpretation of regression estimates. Though the literature on ways of coping with collinearity is extensive, relatively little effort has been made to clarify the conditions under which collinearity affects estimates d…

Psychology (7 works) · Computer Science (4 works) · Mathematics (4 works) · Statistics (4 works) · Business (3 works) · Econometrics (3 works) · Economics (3 works) · Social Psychology (3 works) · Data mining (2 works) · Engineering (2 works)

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