Sökning: "Monica Rosén"

Hittade 3 avhandlingar innehållade orden Monica Rosén.

  1. 1. Skolprestationer : Faktorer som är relaterade till studieresultat i grundskolans senare år

    Författare :Björn Boman; Stefan Ekecrantz; Monica Rosén; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; pedagogik; Education;

    Sammanfattning : This compilation dissertation explores school results (or alterably, educational or academic achievement) at the Swedish lower-secondary level (Grades 7–9), particularly Grade 9 and to lesser extent Grade 8, using both aggregated data at the school and municipality level from Swedish National Agency for Education (Skolverket) and similar databases (Sweden Statistics, Kolada), and individual data from Education through follow-up (UGU, utvärdering genom uppföljning), and the Programme for international student assessment, PISA (2018). Data were obtained from the years 2013, 2018, and 2019. LÄS MER

  3. 2. Management of Design Information in the Production System Design Process

    Författare :Jessica Bruch; Monica Bellgran; Christer Johansson; Bengt- Göran Rosén; Mälardalens högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Information management; production system; design process; design information; manufacturing industry; industrialization; Innovation and Design; innovation och design;

    Sammanfattning : For manufacturing companies active on the global market, high-performance production systems that contribute to the growth and competitiveness of the company are essential. Among a wide range of industries it is increasingly acknowledged that superior production system capabilities are crucial for competitive success. LÄS MER

  4. 3. Measuring long-term effects of a school improvement initiative

    Författare :Joakim Svärdh; Inga-Britt Skogh; Erik Mellander; Veronica Bjurulf; Monica Rosén; KTH; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Propensity Score Analysis PSA ; effect study; quantitative evaluation; educational intervention; compulsory school; Science and Technology for All Initiative; representative sample; non-random selection; multi-level modelling; post-matching multivariate regression;

    Sammanfattning : There is a growing demand for studies applying quantitative methods to large-scale data sets for the purpose of evaluating the effects of educational reforms (UVK, 2010). In this thesis the statistical method, Propensity Score Analysis (PSA), is presented and explored in the evaluating context of an extensive educational initiative within science and technology education; the Science and Technology for All-program (NTA). LÄS MER