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Shen, Ting; Konstantopoulos, Spyros – Journal of Experimental Education, 2022
Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…
Descriptors: Data Collection, Educational Research, Hierarchical Linear Modeling, Bayesian Statistics
Arce-Ferrer, Alvaro J.; Bulut, Okan – Journal of Experimental Education, 2019
This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…
Descriptors: Data Collection, Test Construction, Test Format, Computer Assisted Testing

Hopkins, Kenneth D.; And Others – Journal of Experimental Education, 1988
A monetary gratuity's effect on the return rate (RR) of a mail survey was studied. Half of the surveys mailed to 507 librarians in Arizona included a 1.00 dollar gratuity. The RR was 80% among those receiving the gratuity and 59% among controls. A survey's RR and consequent validity may be improved by including a gratuity. (SLD)
Descriptors: Data Collection, Librarians, Mail Surveys, Motivation

Pohl, Norval Frederick; Pohl, Barbikay Bissell – Journal of Experimental Education, 1975
This paper discusses three randomized response techniques (the dichotomized question, the unrelated question, and the single question/random answer), the simple probability theory that makes the techniques work, and some questions about the practical application of these techniques by the educator. (Editor)
Descriptors: Data Collection, Educational Research, Error Patterns, Interpersonal Relationship

Munger, Gail F.; Loyd, Brenda H. – Journal of Experimental Education, 1988
Multiple matrix sampling (MMS) as a data collection strategy was examined, and rates of response from 307 public school principals in Virginia were compared when subgroups of items were administered versus an entire instrument. MMS was demonstrated as a viable and reasonable procedure when the mail questionnaire consists of a large number of pages…
Descriptors: Data Collection, Mail Surveys, Principals, Questionnaires

Strang, Harold R.; Rust, James O. – Journal of Experimental Education, 1973
The major purpose of the present study was to investigate the effects of non-cueing immediate knowledge upon answering academic questions constructed so as to minimize intrinsic knowledge of ongoing accuracy. (Author)
Descriptors: Cues, Data Collection, Educational Research, Feedback

Hurst, Joe B. – Journal of Experimental Education, 1974
The main concern of this study was the training of classroom teachers who could promote and sustain inquiry learning with children in elementary schools. (Author)
Descriptors: Data Collection, Elementary School Students, Inquiry, Instructional Materials

White, Glenn M.; Rosenthal, Ted L. – Journal of Experimental Education, 1974
Will a combination of lecture plus teaching demonstrations produce better learning than when equivalent information is presented through lecture alone? The present field experiment directly addressed this question. (Author)
Descriptors: Data Analysis, Data Collection, Lecture Method, Research Methodology

Arney, William Ray – Journal of Experimental Education, 1973
The major thrust of this paper rests on the belief that information can be obtained from analysis of the relationship between unmeasured variables which would not otherwise be gleaned from the data. (Author)
Descriptors: Data Analysis, Data Collection, Educational Change, Higher Education

Ashurst, James T.; And Others – Journal of Experimental Education, 1992
Presents a method for the collection and analysis of collateral data about research subjects (i.e., measurements of events in subjects' lives that may affect outcome measures and/or lead to attrition). A six-step procedure evaluates bias resulting from subject attrition from a study using data from lost and retained subjects. (SLD)
Descriptors: Attrition (Research Studies), Data Analysis, Data Collection, Research Problems

Huck, Schuyler W. – Journal of Experimental Education, 1991
This poem, with stanzas in limerick form, refers humorously to the many threats to validity posed by problems in research design, including problems of sample selection, data collection, and data analysis. (SLD)
Descriptors: Data Analysis, Data Collection, Experiments, Poetry

Esposito, James – Journal of Experimental Education, 1974
The purpose of the study was to determine what relationships existed among the personality of instructional supervisors as reflected in a disbelief-belief system and measured by the Rokeach Dogmatism Scale and the tasks they performed and preferred to perform. (Editor)
Descriptors: Data Collection, Individual Characteristics, Questionnaires, Research Methodology

Merryman, Edward P. – Journal of Experimental Education, 1974
The purpose of this study was to determine what effects manifest anxiety has on the achievement of selected reading variables (also tasks or skills) of children who, according to their CMAS scores, vary in general drive or anxiety levels. (Author)
Descriptors: Anxiety, Correlation, Data Analysis, Data Collection

Hall, Charles E. – Journal of Experimental Education, 1973
It is the intention of this paper to review the purpose, underlying assumptions, and calculation procedures and to arrive at a means of handling analysis of covariance when the classical assumptions are not met. (Author)
Descriptors: Analysis of Covariance, Data Collection, Educational Research, Mathematics

Clifford, Margaret M. – Journal of Experimental Education, 1975
This study was designed to measure the effect of option on cognitive andaffective behavior and reexamine the function of locus of control as a predictor of academic performance in a situation where option-in-means is provided while option-in-ends is controlled. (Author/RK)
Descriptors: Academic Achievement, Affective Behavior, Cognitive Measurement, Data Collection
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