Descriptor

Rating Scales | 9 |

Item Analysis | 6 |

Statistical Significance | 6 |

Computer Software | 4 |

Higher Education | 4 |

Scoring | 4 |

Test Items | 4 |

Test Reliability | 4 |

Computer Programs | 3 |

Data Analysis | 3 |

Mathematical Models | 3 |

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Source

Educational and Psychological… | 18 |

Author

Aiken, Lewis R. | 18 |

Aiken, Timothy A. | 1 |

Williams, Newsom | 1 |

Publication Type

Journal Articles | 15 |

Reports - Research | 9 |

Reports - Evaluative | 4 |

Reports - Descriptive | 2 |

Book/Product Reviews | 1 |

Guides - Non-Classroom | 1 |

Numerical/Quantitative Data | 1 |

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Practitioners | 1 |

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Laws, Policies, & Programs

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Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1983

A procedure and a computing diagram for assigning score boundaries to grading categories on classroom tests are described. The procedure takes both the median ability level of the class and the test performance of the class relative to that of other classes into account. (Author)

Descriptors: Grades (Scholastic), Grading, Scores, Scoring

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1985

Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)

Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis

Peer reviewed

Aiken, Lewis R.; Williams, Newsom – Educational and Psychological Measurement, 1978

Seven formulas for scoring test items with two options (true-false or multiple choice with only two choices) were investigated. Several conditions, such as varying directions for guessing and whether testees had prior knowledge of the proportions of false items on the test were also investigated. (Author/JKS)

Descriptors: Guessing (Tests), Higher Education, Knowledge Level, Multiple Choice Tests

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1996

This article describes a set of 11 menu-driven procedures written in BASICA for MS-DOS based microcomputers for constructing several types of rating scales, attitude scales, and checklists, and for scoring responses to the constructed instruments. The uses of the program are described in detail. (SLD)

Descriptors: Attitude Measures, Check Lists, Computer Assisted Testing, Computer Software

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1994

Three dozen observations and recommendations concerning the activities of research consultants in the behavioral sciences are listed and discussed. These guidelines, some stated as aphorisms, are discussed in the categories of planning; implementation; analysis; interpretation; and reporting. (Author/SLD)

Descriptors: Behavioral Sciences, Data Analysis, Data Interpretation, Guides

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1987

Formulas for transforming scores and statistics on a rating scale having any number of categories to a scale having a different number of categories are described. To illustrate the use of one of the formulas, the means and variances of items on six forms of a course evaluation questionnaire were compared. (Author/LMO)

Descriptors: Mathematical Models, Rating Scales, Scoring, Statistical Studies

Peer reviewed

Aiken, Lewis R.; Aiken, Timothy A. – Educational and Psychological Measurement, 1986

Three exact probability tests, counterparts of t tests for single sample, independent samples, and dependent samples, are described for data obtained from ratings on "m" scales by a single rater or on a single scale by "n" raters. (LMO)

Descriptors: Nonparametric Statistics, Probability, Rating Scales, Statistical Distributions

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1983

Each of six forms of a 10-item teacher evaluation rating scale, having two to seven response categories per form, was administered to over 100 college students. Means of item responses and item variances increased with the number of response categories. Internal consistency of total scores did not change systematically. (Author/PN)

Descriptors: College Students, Higher Education, Item Analysis, Rating Scales

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1992

The computation and determination of the statistical significance of three coefficients of interpersonal attractiveness or cohesiveness in task-oriented or social groups are described. The approach is based on ratings made by each member of a group of all other group members. Experience using the technique is reviewed. (SLD)

Descriptors: Equations (Mathematics), Evaluation Methods, Group Dynamics, Group Membership

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1989

Two alternatives to traditional item analysis and reliability estimation procedures are considered for determining the difficulty, discrimination, and reliability of optional items on essay and other tests. A computer program to compute these measures is described, and illustrations are given. (SLD)

Descriptors: College Entrance Examinations, Computer Software, Difficulty Level, Essay Tests

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1989

Two coefficients ("H" and "C") for evaluating the homogeneity or congruence of a set of ratings or scores are described. Statistical tests of the significance of these indexes are presented, along with a description of a computer program (CHOPRO) for determining values of "C" and "H" and associated…

Descriptors: Computer Software, Congruence (Mathematics), Equations (Mathematics), Mathematical Models

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1985

Procedures are described for determining the statistical significance of a set of ratings made on bidirectional (B) scales. B and its statistical significance can be determined on samples of items or raters. The statistical significance of a mean of B values can be assessed by applying a normal approximation test. (Author/DWH)

Descriptors: Higher Education, Rating Scales, Research Methodology, Scoring

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1982

Five types of multiple-choice items that can be used to assess higher-order educational objectives are examined. The item types do not exhaust the possibilities, but they are standard forms found helpful in writing items to measure more than recognitive memory. (Author/CM)

Descriptors: Cognitive Measurement, Educational Objectives, Evaluation Methods, Multiple Choice Tests

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1981

This paper presents formulas that can be used to approach the problem of nonresponse in survey research. (Author/AL)

Descriptors: Mathematical Formulas, Research Problems, Surveys

Peer reviewed

Aiken, Lewis R. – Educational and Psychological Measurement, 1980

Procedures for computing content validity and consistency reliability coefficients and determining the statistical significance of these coefficients are described. Procedures employing the multinomial probability distribution for small samples and normal curve probability estimates for large samples, can be used where judgments are made on…

Descriptors: Computer Programs, Measurement Techniques, Probability, Questionnaires

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