Trends in International Mathematics and Science Study (TIMSS) 2015 Grade 9: Science teacher (BTS) - South Africa as one of 39 countries

DOI

Description: This data set contains science teacher responses to the teacher background questionnaire, i.e. school emphasis on academic success, school environment, about being a teacher, about teaching the TIMSS class, etc. All science teachers were required to complete this questionnaire.

The data set has 215 variables and was completed by 331 teachers.

Of the 300 sampled schools, 292 schools was realised providing a response rate of 97%. Abstract: TIMSS is a cross-national assessment of mathematics and science knowledge of fourth and eighth grades and includes 53 countries. The Grade 9 mathematics and science assessment included 39 countries. It is conducted by the International Association for the Evaluation of Educational Achievement (IEA) every four years since 1995. South Africa took part in five cycles of TIMSS i.e. in 1995, 1999, 2003, 2011 and 2015 with fieldwork being conducted in August/September 2015.

The Human Sciences Research Council (HSRC) administered the study in 292 schools and assessed 12514 learners across South Africa. To prevent a cluster of scores at the lower end of the scale and to ensure sufficient variance in the data for robust analyses; TIMSS was administered to grade 9 learners in South Africa. As part of the TIMSS study mathematics and science tests and background questionnaires are administered to an intact randomly selected grade 9 class within a sampled school.

TIMSS uses the results from the tests and questionnaires which are administered to learners, teachers and principals to determine the achievement scores as well as the factors associated with academic success. One of the main aims of the study is to measure the health of the education systems for a particular country.

This data set contains science teacher responses to the teacher background questionnaire, i.e. school emphasis on academic success, school environment, about being a teacher, about teaching the TIMSS class, etc. All science teachers were required to complete this questionnaire.

Self-completion

The Department of Basic Education Master list of schools.

Department of Basic Education Master list of schools database served as the sampling frame

It included only schools that offered grade 9;

Schools with population size smaller than 10 was excluded;

Special schools were excluded.

The TIMSS sampling design is a two-stage stratified cluster design:

Selecting a random sample of schools from all eligible schools; and

Randomly selecting a mathematics and science intact class within each of the sampled schools;

The sample was explicitly stratified by Province, Language of Learning and Teaching (English, Afrikaans, Dual medium) and school type which was Public and Independent; and

Implicitly stratified by quintile (school poverty index).

Identifier
DOI https://doi.org/10.14749/1511166178
Metadata Access https://api.datacite.org/dois/10.14749/1511166178
Provenance
Creator Reddy, Vasudhevan; Arends, Fabian; Juan, Andrea Liesel; Prinsloo, Casper Hendrik; Visser, Margaretha Maria; Winnaar, Lolita Desiree; Human Sciences Research Council
Publisher HSRC - Human Science Research Council SA
Contributor Human Sciences Research Council
Publication Year 2017
Funding Reference Department of Basic Education
Rights Other; By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
OpenAccess true
Representation
Resource Type Dataset
Version 1.0
Discipline Social Sciences
Spatial Coverage South Africa