Kenneth J Levy
Biographic Data
| ID | 273894 |
|---|---|
| NAME | Kenneth J Levy |
| GIVEN NAMES | Kenneth J |
| FAMILY NAME | Levy |
| SIGNATURE | LEVY K J |
| AFFILIATIONS | State University of New York at Buffalo |
| VERIFIED | No |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1973 |
| LATEST PUBLICATION YEAR | 1980 |
| H-INDEX | 1 |
The Randomized Response Technique and Large Sample Tests Concerning the Parameters of a Multinomial Distribution
Liu and Chow (1976) proposed a multi-proportions extension of Warner's (1965) randomized response technique. The purpose of this paper is to discuss the multi-proportions model and to suggest a statistical procedure, whereby one can test hypotheses concerning such proportions. A hypothetical example is also included for illustrative purposes
A Monte Carlo Study of Analysis of Covariance Under Violations of the Assumptions of Normality and Equal Regression Slopes
The present study indicates that ANCOVA is robust with respect to dual violations of the assumptions of equal regression slopes and normality of distributions provided that group sizes are equal. In ad dition, when regression slopes are equal, ANCOVA appears to be robust to violations of the assumption of normality whether group sizes are equal or not. In the present study ANCOVA did display disruptions of empirical significance levels when unequ…
Nonparametric large-sample pairwise comparisons
Nonparametric large-sample pairwise comparisons
A Comment Concerning Levy's Procedure for Testing a Priori Trends in K Independent Correlations
The present note suggests that Levy's (1976) procedure for testing predicted trends in independent correlations should not produce grossly incorrect inferences wher one is dealing with the sorts of correlations which are ordinarily encountered in empirical research
Predicting the Time at Which a Specified Number of Subjects Will Achieve "Success"
Kaminsky and Nelson's (1975) method for estimating the times of future "successes" from the times of earlier "successes" in the same sample is discussed in terms of its potential applications to long term psychological treatment, research, or training programs
Appropriate Sample Sizes for Selecting a Population With the Largest Correlation Coefficient from Among k Bivariate Normal Populations
Bechhofer's (1954) procedure for selecting the population with the largest mean from among k normal populations with known variances is discussed as it applies to the problem of selecting the bivariate normal population with the largest correlation coefficient. Tables of appropriate sample sizes are provided and an example is discussed concerning their use in which one might wish to select the correct population at a specified probability level
Non-Normality and Testing That a Correlation Equals Zero
This paper examines the importance of the underlying assumption of normality for testing that a bivariate normal correlation equals zero. Both empirical and theoretical evidence suggest that such tests may be employed, more generally, for testing the independence of any two continuous variables
The randomized response technique and large sample comparisons among the parameters of K independent binomial populations
The randomized response technique and large sample comparisons among the parameters of K independent binomial populations
Testing for a Priori Trends in K Independent Correlations
A procedure is specified for testing the significance of predicted trends in k independent correlations. An example is also provided for illustrative purposes
A Multiple Range Procedure for Independent Correlations
Marascuilo (1966) proposes a χ 2 analog of Scheffe's multiple comparisons procedure. With respect to pairwise comparisons among k independent correlation coefficients, a multiple range procedure will produce lower critical values than the corresponding χ 2 values, thereby increasing the power of the resulting tests. The basis of such a procedure is discussed and an example is provided for illustrative purposes
Reducing the occurrence of omitted or untruthful responses when testing hypotheses concerning proportions
Reducing the occurrence of omitted or untruthful responses when testing hypotheses concerning proportions
Some Multiple Range Tests for Variances
Often times, the experimenter is interested in making inferences about treatment variances instead of, or in addition to, inferences about means. Three multiple range tests are proposed for the purpose of specifying which treatment variances or sets of variances are homogeneous. The procedures are based upon the F max statistic, Cochran's statistic, and a normalizing log transformation of the sample variances. All three tests depend heavily upon …
Large-sample pair-wise comparisons involving correlations, proportions, or variances
Large-sample many-one comparisons involving correlations, proportions, or variances
A multiple range procedure for independent proportions
Comparing several independent correlations with a standard correlation
Comparing several independent correlations with a standard correlation
A multiple range procedure for independent proportions
Some Multiple Range Tests for Variances
Often times, the experimenter is interested in making inferences about treatment variances instead of, or in addition to, inferences about means. Three multiple range tests are proposed for the purpose of specifying which treatment variances or sets of variances are homogeneous. The procedures are based upon the F max statistic, Cochran's statistic, and a normalizing log transformation of the sample variances. All three tests depend heavily upon …
Large-sample pair-wise comparisons involving correlations, proportions, or variances
Large-sample many-one comparisons involving correlations, proportions, or variances
Testing for a Priori Trends in K Independent Correlations
A procedure is specified for testing the significance of predicted trends in k independent correlations. An example is also provided for illustrative purposes
A Multiple Range Procedure for Independent Correlations
Marascuilo (1966) proposes a χ 2 analog of Scheffe's multiple comparisons procedure. With respect to pairwise comparisons among k independent correlation coefficients, a multiple range procedure will produce lower critical values than the corresponding χ 2 values, thereby increasing the power of the resulting tests. The basis of such a procedure is discussed and an example is provided for illustrative purposes
Reducing the occurrence of omitted or untruthful responses when testing hypotheses concerning proportions
Reducing the occurrence of omitted or untruthful responses when testing hypotheses concerning proportions
Appropriate Sample Sizes for Selecting a Population With the Largest Correlation Coefficient from Among k Bivariate Normal Populations
Bechhofer's (1954) procedure for selecting the population with the largest mean from among k normal populations with known variances is discussed as it applies to the problem of selecting the bivariate normal population with the largest correlation coefficient. Tables of appropriate sample sizes are provided and an example is discussed concerning their use in which one might wish to select the correct population at a specified probability level
Non-Normality and Testing That a Correlation Equals Zero
This paper examines the importance of the underlying assumption of normality for testing that a bivariate normal correlation equals zero. Both empirical and theoretical evidence suggest that such tests may be employed, more generally, for testing the independence of any two continuous variables
The randomized response technique and large sample comparisons among the parameters of K independent binomial populations
The randomized response technique and large sample comparisons among the parameters of K independent binomial populations
A Comment Concerning Levy's Procedure for Testing a Priori Trends in K Independent Correlations
The present note suggests that Levy's (1976) procedure for testing predicted trends in independent correlations should not produce grossly incorrect inferences wher one is dealing with the sorts of correlations which are ordinarily encountered in empirical research
Predicting the Time at Which a Specified Number of Subjects Will Achieve "Success"
Kaminsky and Nelson's (1975) method for estimating the times of future "successes" from the times of earlier "successes" in the same sample is discussed in terms of its potential applications to long term psychological treatment, research, or training programs
Nonparametric large-sample pairwise comparisons
Nonparametric large-sample pairwise comparisons
The Randomized Response Technique and Large Sample Tests Concerning the Parameters of a Multinomial Distribution
Liu and Chow (1976) proposed a multi-proportions extension of Warner's (1965) randomized response technique. The purpose of this paper is to discuss the multi-proportions model and to suggest a statistical procedure, whereby one can test hypotheses concerning such proportions. A hypothetical example is also included for illustrative purposes
A Monte Carlo Study of Analysis of Covariance Under Violations of the Assumptions of Normality and Equal Regression Slopes
The present study indicates that ANCOVA is robust with respect to dual violations of the assumptions of equal regression slopes and normality of distributions provided that group sizes are equal. In ad dition, when regression slopes are equal, ANCOVA appears to be robust to violations of the assumption of normality whether group sizes are equal or not. In the present study ANCOVA did display disruptions of empirical significance levels when unequ…
Mathematics (19 works) · Statistics (19 works) · Econometrics (17 works) · Psychology (12 works) · Sample (material) (11 works) · Advanced Statistical Methods and Models (10 works) · Statistical hypothesis testing (6 works) · Optimal Experimental Design Methods (5 works) · Sample size determination (5 works) · Statistical Methods in Clinical Trials (5 works)