Ändra sökning
Avgränsa sökresultatet
1 - 6 av 6
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Träffar per sida
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
Markera
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 1.
    Bjermo, Jonas
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Optimal Test Design for Estimation of Mean Ability GrowthManuskript (preprint) (Övrigt vetenskapligt)
    Abstract [en]

    The design of an achievement test is of importance for many reasons. This paper focuses on the mean ability growth of a population from one school grade to another. With test design, we mean how to allocate the test items concerning difficulties. The objective is to estimate the mean ability growth as efficiently as possible. We use the asymptotic expression for the mean ability growth in terms of the test information. With that expression as the criterion for optimization, we use particle swarm optimization to find the optimal design. The optimization function is dependent on the examinees' abilities, and therefore the value of the unknown mean ability growth. Hence, we will also use an optimum in average design. The conclusion is that we should allocate the common items in the middle of the difficulty span, with the two separate test items on different sides. When we decrease the difference in mean ability between the groups, the ranges of the common and test items coincide more.

  • 2.
    Bjermo, Jonas
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Test Design for Mean Ability Growth and Optimal Item Calibration for Achievement Tests2021Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    In this thesis, we examine two topics in the area of educational measurement. The first topic studies how to best design two achievement tests with common items such that a population mean-ability growth is measured as precisely as possible. The second examines how to calibrate newly developed test items optimally. These topics are two optimal design problems in achievement testing. Paper I consist of a simulation study where different item difficulty allocations are compared regarding the precision of mean ability growth when controlling for estimation method and item difficulty span. We take a more theoretical approach on how to allocate the item difficulties in Paper II. We use particle swarm optimization on a multi-objective weighted sum to determine an exact design of the two tests with common items. The outcome relies on asymptotic results of the test information function. The general conclusion of both papers is that we should allocate the common items in the middle of the difficulty span, with the two separate test items on different sides. When we decrease the difference in mean ability between the groups, the ranges of the common and test items coincide more.

    In the second part, we examine how to apply an existing optimal calibration method and algorithm using data from the Swedish Scholastic Aptitude Test (SweSAT). We further develop it to consider uncertainty in the examinees' ability estimates. Paper III compares the optimal calibration method with random allocation of items to examinees in a simulation study using different measures. In most cases, the optimal design method estimates the calibration items more efficiently. Also, we can identify for what kind of items the method works worse.

    The method applied in Paper III assumes that the estimated abilities are the true ones. In Paper IV, we further develop the method to handle uncertainty in the ability estimates which are based on an operational test. We examine the asymptotic result and compare it to the case of known abilities. The optimal design using estimates approaches the optimal design assuming true abilities for increasing information from the operational test.

    Ladda ner fulltext (pdf)
    Test Design for Mean Ability Growth and Optimal Item Calibration for Achievement Tests
    Ladda ner (jpg)
    presentationsbild
  • 3.
    Bjermo, Jonas
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Fackle Fornius, Ellinor
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Miller, Frank
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Optimal Item Calibration in the Context of the Swedish Scholastic Aptitude TestIngår i: Artikel i tidskrift (Övrigt vetenskapligt)
    Abstract [en]

    Large scale achievement tests require the existence of item banks with items for use in future tests. Before an item is included into the bank, it's characteristics need to be estimated. The process of estimating the item characteristics is called item calibration. For the quality of the future achievement tests, it is important to perform this calibration well and it is desirable to estimate the item characteristics as efficiently as possible. Methods of optimal design have been developed to allocate calibration items to examinees with the most suited ability. Theoretical evidence shows advantages with using ability-dependent allocation of calibration items. However, it is not clear whether these theoretical results hold also in a real testing situation. In this paper, we investigate the performance of an optimal ability-dependent allocation in the context of the Swedish Scholastic Aptitude Test (SweSAT) and quantify the gain from using the optimal allocation. On average over all items, we see an improved precision of calibration. While this average improvement is moderate, we are able to identify for what kind of items the method works well. This enables targeting specific item types for optimal calibration. We also discuss possibilities for improvements of the method.

  • 4.
    Bjermo, Jonas
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Fackle-Fornius, Ellinor
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Miller, Frank
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Optimizing Calibration Designs with Uncertainty in AbilitiesManuskript (preprint) (Övrigt vetenskapligt)
    Abstract [en]

    In computerized adaptive tests, some newly developed items are often added for pretesting purposes. In this pretesting, item characteristics are estimated which is called calibration. It is promising to allocate calibration items to examinees based on their abilities and methods from optimal experimental design have been used for that. However, the abilities of the examinees have usually been assumed to be known for this allocation. In practice, the abilities are estimates based on a limited number of operational items. We develop the theory for handling the uncertainty in abilities in a proper way and show how optimal calibration design can be derived in this situation. The method has been implemented in an R package. We see that the derived optimal calibration designs are more robust if this uncertainty in abilities is acknowledged.

  • 5.
    Bjermo, Jonas
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Miller, Frank
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Efficient Estimation of Mean Ability Growth Using Vertical Scaling2021Ingår i: Applied measurement in education, ISSN 0895-7347, E-ISSN 1532-4818, Vol. 34, nr 3, s. 163-178Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In recent years, the interest in measuring growth in student ability in various subjects between different grades in school has increased. Therefore, good precision in the estimated growth is of importance. This paper aims to compare estimation methods and test designs when it comes to precision and bias of the estimated growth of mean ability between two groups of students that differ substantially. This is performed by a simulation study. One- and two-parameter item response models are assumed and the estimated abilities are vertically scaled using the non-equivalent anchor test design by estimating the abilities in one single run, so-called concurrent calibration. The connection between the test design and the Fisher information is also discussed. The results indicate that the expected a posteriori estimation method is preferred when estimating differences in mean ability between groups. Results also indicate that a test design with common items of medium difficulty leads to better precision, which coincides with previous results from horizontal equating.

  • 6. van den Hurk, Wobbie
    et al.
    Bergman, Ingvar
    Machado, Alejandra
    Bjermo, Jonas
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Statistiska institutionen.
    Gustavsson, Anders
    Swedish Normative Data for Mindmore: A Comprehensive Cognitive Screening Battery, Both Digital and Self-Administrated2022Ingår i: Journal of the International Neuropsychological Society, ISSN 1355-6177, E-ISSN 1469-7661, Vol. 28, nr 2, s. 188-202, artikel-id PII S135561772100045XArtikel i tidskrift (Refereegranskat)
    Abstract [en]

    Objective: Cognitive impairment is a key element in most mental disorders. Its objective assessment at initial patient contact in primary care can lead to better adjusted and timely care with personalised treatment and recovery. To enable this, we designed the Mindmore self-administrative cognitive screening battery. What is presented here is normative data for the Mindmore battery for the Swedish population. Method: A total of 720 healthy adults (17 to 93 years) completed the Mindmore screening battery, which consists of 14 individual tests across five cognitive domains: attention and processing speed, memory, language, visuospatial functions and executive functions. Regression-based normative data were established for 42 test result measures, investigating linear, non-linear and interaction effects between age, education and sex. Results: The test results were most affected by age and to a lesser extent by education and sex. All but one test displayed either linear or accelerated age-related decline, or a U-shaped association with age. All but two tests showed beneficial effects of education, either linear or subsiding after 12 years of educational attainment. Sex affected tests in the memory and executive domains. In three tests, an interaction between age and education revealed an increased benefit of education later in life. Conclusion: This study provides normative models for 14 traditional cognitive tests adapted for self-administration through a digital platform. The models will enable more accurate interpretation of test results, hopefully leading to improved clinical decision making and better care for patients with cognitive impairment.

1 - 6 av 6
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf