Fadia Nasser
Biographic Data
| ID | 6508492 |
|---|---|
| NAME | Fadia Nasser |
| GIVEN NAMES | Fadia |
| FAMILY NAME | Nasser |
| SIGNATURE | NASSER F |
| AFFILIATIONS | Tel Aviv University |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 17 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2006 |
| H-INDEX | 1 |
Predicting student ratings
This study examined the relationship between student ratings and instructors' predictions of these ratings, taking into account other instructor, student, and course characteristics. Participants in the study were 198 instructors in the School of Education at a major teacher training college in Israel. Data corresponding to one randomly selected course per instructor were collected using student and instructor questionnaires and college records. …
A Monte Carlo Study Investigating the Impact of Item Parceling on Measures of Fit in Confirmatory Factor Analysis
A simulation study was conducted to examine the effect of item parceling on goodness-of-fit indices at different levels of sample size, number of indicators per factor, factor structure/pattern coefficients, interfactor correlations, and item-level data distribution. Results revealed that the use of item parcels yielded more nonconverged solutions and Heywood cases than individual items. The likelihood of nonconverged solutions and Heywood cases …
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
Faculty Views of Student Evaluation of College Teaching
The literature abounds with psychometric studies of course evaluation measures and articles debating the merits of student ratings of instruction, but little research has focused on faculty perceptions of this procedure. In the present study faculty perceptions are explored at a teachers' college where evaluation is carried out annually on a sample of courses. The sample includes 101 instructors who completed the research questionnaire. Faculty a…
Interpreting student ratings
Modeling the Observation-to-Variable Ratio Necessary for Determining the Number of Factors by the Standard Error Scree Procedure Using Logistic Regression
Logistic regression was used for modeling the observation-to-variable ( n/ v) ratio required for the standard error scree (SEscree) procedure to correctly identify the number of factors in simulated data. The correlation matrices were generated to possess known characteristics: number of factors ( f), number of variables ( v), sample size ( n), magnitude of pattern coefficients ( p), and degree of interfactor correlations ( r). The results indica…
On Agreement of Diagnostic Classifications from Parallel Subtests
The purpose of the present study was to examine the agreement of diagnostic classifications from two parallel subtests assessing a procedural skill in mathematics using three levels of scoring: (a) observed item scores (correct/incorrect), (b) underlying rules of operation, and (c) underlying task attributes. A bug analysis and a rule space analysis were employed to assess categories b and c, respectively. The results indicated that even when the…
Predicting teacher commitment
On Agreement of Diagnostic Classifications from Parallel Subtests
The purpose of the present study was to examine the agreement of diagnostic classifications from two parallel subtests assessing a procedural skill in mathematics using three levels of scoring: (a) observed item scores (correct/incorrect), (b) underlying rules of operation, and (c) underlying task attributes. A bug analysis and a rule space analysis were employed to assess categories b and c, respectively. The results indicated that even when the…
Predicting teacher commitment
Interpreting student ratings
Modeling the Observation-to-Variable Ratio Necessary for Determining the Number of Factors by the Standard Error Scree Procedure Using Logistic Regression
Logistic regression was used for modeling the observation-to-variable ( n/ v) ratio required for the standard error scree (SEscree) procedure to correctly identify the number of factors in simulated data. The correlation matrices were generated to possess known characteristics: number of factors ( f), number of variables ( v), sample size ( n), magnitude of pattern coefficients ( p), and degree of interfactor correlations ( r). The results indica…
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
Faculty Views of Student Evaluation of College Teaching
The literature abounds with psychometric studies of course evaluation measures and articles debating the merits of student ratings of instruction, but little research has focused on faculty perceptions of this procedure. In the present study faculty perceptions are explored at a teachers' college where evaluation is carried out annually on a sample of courses. The sample includes 101 instructors who completed the research questionnaire. Faculty a…
A Monte Carlo Study Investigating the Impact of Item Parceling on Measures of Fit in Confirmatory Factor Analysis
A simulation study was conducted to examine the effect of item parceling on goodness-of-fit indices at different levels of sample size, number of indicators per factor, factor structure/pattern coefficients, interfactor correlations, and item-level data distribution. Results revealed that the use of item parcels yielded more nonconverged solutions and Heywood cases than individual items. The likelihood of nonconverged solutions and Heywood cases …
Predicting student ratings
This study examined the relationship between student ratings and instructors' predictions of these ratings, taking into account other instructor, student, and course characteristics. Participants in the study were 198 instructors in the School of Education at a major teacher training college in Israel. Data corresponding to one randomly selected course per instructor were collected using student and instructor questionnaires and college records. …
Psychology (8 works) · Mathematics (7 works) · Statistics (7 works) · Advanced Statistical Methods and Models (3 works) · Evaluation of Teaching Practices (3 works) · Mathematics education (3 works) · Regression (3 works) · Regression analysis (3 works) · Statistical Methods and Applications (3 works) · Advanced Statistical Modeling Techniques (2 works)