Mark Fetler
Biographic Data
| ID | 6483802 |
|---|---|
| NAME | Mark Fetler |
| GIVEN NAMES | Mark |
| FAMILY NAME | Fetler |
| SIGNATURE | FETLER M |
| AFFILIATIONS | California Department of Education |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 1991 |
| H-INDEX | 2 |
Pitfalls of Using SAT Results to Compare Schools
Public reports and comparisons of school SAT results are on the rise. This study uses a simple model of schooling to address two questions which are raised by school SAT comparisons. How are the demographic and academic characteristics of the student population in schools related to participation in the SAT? How are participation rates and the demographic characteristics of the sample of test-takers and of their schools related to SAT performance…
Sex differences on the California statewide assessment of computer literacy
Television Viewing and School Achievement
Journal Article Television Viewing and School Achievement Get access Mark Fetler Mark Fetler 1Mark Fetler is a research and evaluation consultant for the California Department of Education. A preliminary version of this article was presented at the annual meeting of the American Education Research Association, New York, March 1982 Search for other works by this author on: Oxford Academic Google Scholar Journal of Communication, Volume 34, Issue 2…
Methods for the analysis of two‐party question and answer dialogues
Methods for the analysis of written two‐party question and answer dialogues are described. Written dialogue is distinguished from spoken dialogue and from descriptive prose. The concept of perspective of a dialogue is analyzed in terms of speaker, addressee, reporter and person reported to, is illustrated for several common dialogue contexts, and is applied to two short texts. Tense‐shifting in indirect speech is analyzed to illustrate temporal s…
Sex differences on the California statewide assessment of computer literacy
Pitfalls of Using SAT Results to Compare Schools
Public reports and comparisons of school SAT results are on the rise. This study uses a simple model of schooling to address two questions which are raised by school SAT comparisons. How are the demographic and academic characteristics of the student population in schools related to participation in the SAT? How are participation rates and the demographic characteristics of the sample of test-takers and of their schools related to SAT performance…
Methods for the analysis of two‐party question and answer dialogues
Methods for the analysis of written two‐party question and answer dialogues are described. Written dialogue is distinguished from spoken dialogue and from descriptive prose. The concept of perspective of a dialogue is analyzed in terms of speaker, addressee, reporter and person reported to, is illustrated for several common dialogue contexts, and is applied to two short texts. Tense‐shifting in indirect speech is analyzed to illustrate temporal s…
Television Viewing and School Achievement
Journal Article Television Viewing and School Achievement Get access Mark Fetler Mark Fetler 1Mark Fetler is a research and evaluation consultant for the California Department of Education. A preliminary version of this article was presented at the annual meeting of the American Education Research Association, New York, March 1982 Search for other works by this author on: Oxford Academic Google Scholar Journal of Communication, Volume 34, Issue 2…
Sex differences on the California statewide assessment of computer literacy
Pitfalls of Using SAT Results to Compare Schools
Public reports and comparisons of school SAT results are on the rise. This study uses a simple model of schooling to address two questions which are raised by school SAT comparisons. How are the demographic and academic characteristics of the student population in schools related to participation in the SAT? How are participation rates and the demographic characteristics of the sample of test-takers and of their schools related to SAT performance…
Mathematics education (3 works) · Psychology (3 works) · Academic achievement (2 works) · Computer Science (2 works) · Developmental psychology (2 works) · Sample (material (2 works) · Sociology (2 works) · Achievement test (1 work) · Artificial Intelligence (1 work) · Child Development and Digital Technology (1 work)