Raymond Hubbard
Biographic Data
| ID | 3793203 |
|---|---|
| NAME | Raymond Hubbard |
| GIVEN NAMES | Raymond |
| FAMILY NAME | Hubbard |
| SIGNATURE | HUBBARD R |
| AFFILIATIONS | Drake University |
| VERIFIED | No |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 17 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1978 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 2 |
Corrupt Research: The Case for Reconceptualizing Empirical Management and Social Science
Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing
Reporting p values from statistical significance tests is common in psychology's empirical literature. Sir Ronald Fisher saw the p value as playing a useful role in knowledge development by acting as an `objective' measure of inductive evidence against the null hypothesis. We review several reasons why the p value is an unobjective and inadequate measure of evidence when statistically testing hypotheses. A common theme throughout many of these re…
Alphabet Soup: Blurring the Distinctions Betweenp’s anda’s in Psychological Research
Confusion over the reporting and interpretation of results of commonly employed classical statistical tests is recorded in a sample of 1,645 papers from 12 psychology journals for the period 1990 through 2002. The confusion arises because researchers mistakenly believe that their interpretation is guided by a single unified theory of statistical inference. But this is not so: classical statistical testing is a nameless amalgamation of the rival a…
Statistical Significance with Comments by Editors of Marketing Journals: The Historical Growth of Statistical Significance Testing in Psychology—and its Future Prospects
The historical growth in the popularity of statistical significance testing is examined using a random sample of annual data from 12 American Psychological Association (APA) journals. The results replicate and extend the findings of Hubbard, Parsa, and Luthy, who used data from only the Journal of Applied Psychology. The results also confirm Gigerenzer and Murray’s allegation that an inference revolution occurred in psychology between 1940 and 19…
The Historical Growth of Statistical Significance Testing in Psychology–and Its Future Prospects
The Spread of Statistical Significance Testing in Psychology: The Case of the Journal of Applied Psychology, 1917-1994
Because the widespread use of statistical significance testing has deleterious consequences for the development of a cumulative knowledge base, the American Psychological Association's Board of Scientific Affairs is in the process of appointing a Task Force whose charge includes the possibility of phasing out such testing in textbooks and journal articles. Just how popular is significance testing in psychology? This issue is examined in the prese…
Publication Bias against Null Results
Studies suggest a bias against the publication of null ( p >.05) results. Instead of significance, we advocate reporting effect sizes and confidence intervals, and using replication studies. If statistical tests are used, power tests should accompany them
Publication Bias Against Null Results
Studies suggest a bias against the publication of null (p >.05) results. Instead of significance, we advocate reporting effect sizes and confidence intervals, and using replication studies. If statistical tests are used, power tests should accompany them
The earth is highly significantly round (p < .0001)
The earth is highly significantly round (p < .0001)
Differences in Empirical Results Using Principal Components and Factor Analysis: A Reply to Wilkinson
Promised Contributions to Charity and Mail Survey Responses: Replication With Extension
Journal Article PROMISED CONTRIBUTIONS TO CHARITY AND MAIL SURVEY RESPONSES: REPLICATION WITH EXTENSION Get access RAYMOND HUBBARD, RAYMOND HUBBARD Associate Professor of Marketing College of Business Administration, Drake University Search for other works by this author on: Oxford Academic Google Scholar ELDON L. LITTLE ELDON L. LITTLE Associate Professor of Marketing Indiana University Southeast Search for other works by this author on: Oxford …
A Cautionary Note on the Use of Principal Components Analysis: Supportive Empirical Evidence
In a recent edition of this journal, Borgatta et al. (1986), using hypothetical data, illustrated how the results produced by principal components analysis can be substantially different from those of common factor analysis. The present article, using seven well-known data sets, extends their work into the empirical domain, and also compares the results of the maximum likelihood factor analysis model with those of the principal components model. …
Notes and Commentary: Regression Equations for the Latent Roots of Random Data Correlation Matrices with Unities on the Diagonal
In order to make parallel analysis more accessible to researchers employing principal component techniques, regression equations are presented for the logarithms of the latent roots of random data correlation matrices with unities on the diagonal. These regression equations have as independent variables logarithms of: the single variable degrees of freedom; Bartlett-Lawley degrees of freedom; the next lowest ordered eigenvalue. The multiple corre…
Preference Structures and Consumer Spatial Indifference Behaviour: Some Theoretical Problems
Parameter Stability in Cross-Sectional Models of Ethnic Shopping Behaviour
Various research projects in the past have attempted to determine the extent to which individual patterns of consumer spatial behaviour may be considered to be invariant or quasi-invariant. Most notable in this regard have been those studies adopting a format of revealed space preference. However, there are difficulties associated with the use of this approach. The present endeavour offers an alternative set of analytical procedures which, althou…
A Review of Selected Factors Conditioning Consumer Travel Behavior
Journal Article A Review of Selected Factors Conditioning Consumer Travel Behavior Get access Raymond Hubbard Raymond Hubbard Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Consumer Research, Volume 5, Issue 1, June 1978, Pages 1–21, https://doi.org/10.1086/208709 Published: 01 June 1978 Article history Received: 01 May 1977 Revision received: 01 December 1977 Published: 01 June 1978
Promised Contributions to Charity and Mail Survey Responses: Replication With Extension
Journal Article PROMISED CONTRIBUTIONS TO CHARITY AND MAIL SURVEY RESPONSES: REPLICATION WITH EXTENSION Get access RAYMOND HUBBARD, RAYMOND HUBBARD Associate Professor of Marketing College of Business Administration, Drake University Search for other works by this author on: Oxford Academic Google Scholar ELDON L. LITTLE ELDON L. LITTLE Associate Professor of Marketing Indiana University Southeast Search for other works by this author on: Oxford …
Parameter Stability in Cross-Sectional Models of Ethnic Shopping Behaviour
Various research projects in the past have attempted to determine the extent to which individual patterns of consumer spatial behaviour may be considered to be invariant or quasi-invariant. Most notable in this regard have been those studies adopting a format of revealed space preference. However, there are difficulties associated with the use of this approach. The present endeavour offers an alternative set of analytical procedures which, althou…
A Cautionary Note on the Use of Principal Components Analysis: Supportive Empirical Evidence
In a recent edition of this journal, Borgatta et al. (1986), using hypothetical data, illustrated how the results produced by principal components analysis can be substantially different from those of common factor analysis. The present article, using seven well-known data sets, extends their work into the empirical domain, and also compares the results of the maximum likelihood factor analysis model with those of the principal components model. …
Preference Structures and Consumer Spatial Indifference Behaviour: Some Theoretical Problems
A Review of Selected Factors Conditioning Consumer Travel Behavior
Journal Article A Review of Selected Factors Conditioning Consumer Travel Behavior Get access Raymond Hubbard Raymond Hubbard Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Consumer Research, Volume 5, Issue 1, June 1978, Pages 1–21, https://doi.org/10.1086/208709 Published: 01 June 1978 Article history Received: 01 May 1977 Revision received: 01 December 1977 Published: 01 June 1978
Parameter Stability in Cross-Sectional Models of Ethnic Shopping Behaviour
Various research projects in the past have attempted to determine the extent to which individual patterns of consumer spatial behaviour may be considered to be invariant or quasi-invariant. Most notable in this regard have been those studies adopting a format of revealed space preference. However, there are difficulties associated with the use of this approach. The present endeavour offers an alternative set of analytical procedures which, althou…
Preference Structures and Consumer Spatial Indifference Behaviour: Some Theoretical Problems
Notes and Commentary: Regression Equations for the Latent Roots of Random Data Correlation Matrices with Unities on the Diagonal
In order to make parallel analysis more accessible to researchers employing principal component techniques, regression equations are presented for the logarithms of the latent roots of random data correlation matrices with unities on the diagonal. These regression equations have as independent variables logarithms of: the single variable degrees of freedom; Bartlett-Lawley degrees of freedom; the next lowest ordered eigenvalue. The multiple corre…
A Cautionary Note on the Use of Principal Components Analysis: Supportive Empirical Evidence
In a recent edition of this journal, Borgatta et al. (1986), using hypothetical data, illustrated how the results produced by principal components analysis can be substantially different from those of common factor analysis. The present article, using seven well-known data sets, extends their work into the empirical domain, and also compares the results of the maximum likelihood factor analysis model with those of the principal components model. …
Promised Contributions to Charity and Mail Survey Responses: Replication With Extension
Journal Article PROMISED CONTRIBUTIONS TO CHARITY AND MAIL SURVEY RESPONSES: REPLICATION WITH EXTENSION Get access RAYMOND HUBBARD, RAYMOND HUBBARD Associate Professor of Marketing College of Business Administration, Drake University Search for other works by this author on: Oxford Academic Google Scholar ELDON L. LITTLE ELDON L. LITTLE Associate Professor of Marketing Indiana University Southeast Search for other works by this author on: Oxford …
Differences in Empirical Results Using Principal Components and Factor Analysis: A Reply to Wilkinson
The earth is highly significantly round (p < .0001)
The earth is highly significantly round (p < .0001)
The Spread of Statistical Significance Testing in Psychology: The Case of the Journal of Applied Psychology, 1917-1994
Because the widespread use of statistical significance testing has deleterious consequences for the development of a cumulative knowledge base, the American Psychological Association's Board of Scientific Affairs is in the process of appointing a Task Force whose charge includes the possibility of phasing out such testing in textbooks and journal articles. Just how popular is significance testing in psychology? This issue is examined in the prese…
Publication Bias against Null Results
Studies suggest a bias against the publication of null ( p >.05) results. Instead of significance, we advocate reporting effect sizes and confidence intervals, and using replication studies. If statistical tests are used, power tests should accompany them
Publication Bias Against Null Results
Studies suggest a bias against the publication of null (p >.05) results. Instead of significance, we advocate reporting effect sizes and confidence intervals, and using replication studies. If statistical tests are used, power tests should accompany them
Statistical Significance with Comments by Editors of Marketing Journals: The Historical Growth of Statistical Significance Testing in Psychology—and its Future Prospects
The historical growth in the popularity of statistical significance testing is examined using a random sample of annual data from 12 American Psychological Association (APA) journals. The results replicate and extend the findings of Hubbard, Parsa, and Luthy, who used data from only the Journal of Applied Psychology. The results also confirm Gigerenzer and Murray’s allegation that an inference revolution occurred in psychology between 1940 and 19…
The Historical Growth of Statistical Significance Testing in Psychology–and Its Future Prospects
Alphabet Soup: Blurring the Distinctions Betweenp’s anda’s in Psychological Research
Confusion over the reporting and interpretation of results of commonly employed classical statistical tests is recorded in a sample of 1,645 papers from 12 psychology journals for the period 1990 through 2002. The confusion arises because researchers mistakenly believe that their interpretation is guided by a single unified theory of statistical inference. But this is not so: classical statistical testing is a nameless amalgamation of the rival a…
Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing
Reporting p values from statistical significance tests is common in psychology's empirical literature. Sir Ronald Fisher saw the p value as playing a useful role in knowledge development by acting as an `objective' measure of inductive evidence against the null hypothesis. We review several reasons why the p value is an unobjective and inadequate measure of evidence when statistically testing hypotheses. A common theme throughout many of these re…
Corrupt Research: The Case for Reconceptualizing Empirical Management and Social Science
Mathematics (12 works) · Psychology (12 works) · Statistics (12 works) · Computer Science (9 works) · Econometrics (7 works) · Statistical hypothesis testing (6 works) · Social Psychology (5 works) · Sociology (5 works) · Cognitive psychology (4 works) · Epistemology (4 works)