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Traditionally, attention focuses on whether assessments are reliable and valid. In practice, educational measurement is largely concerned with the analysis of data from educational assessments or tests. Typically, this means using total scores on assessments, whether they are multiple choice or open-ended and marked using marking rubrics or guides.
As with other educational research (and the social sciences in general), mathematics education research depends on both quantitative and qualitative studies. Quantitative research includes studies that use inferential statistics to answer specific questions, such as whether a certain teaching method gives significantly better results than the ...
All data are inexact and statistical in nature. Thus the definition of measurement is: "A set of observations that reduce uncertainty where the result is expressed as a quantity." [17] This definition is implied in what scientists actually do when they measure something and report both the mean and statistics of the measurements. In practical ...
Educational research refers to the systematic collection and analysis of evidence and data related to the field of education. Research may involve a variety of methods [ 1 ] [ 2 ] [ 3 ] and various aspects of education including student learning, interaction, teaching methods , teacher training, and classroom dynamics.
Quantitative research is generally closely affiliated with ideas from 'the scientific method', which can include: The generation of models, theories and hypotheses; The development of instruments and methods for measurement; Experimental control and manipulation of variables; Collection of empirical data; Modeling and analysis of data
In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question.
Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.. Statistics is both a formal science and a practical theory of scientific inquiry, and both aspects are considered in statistics education.
The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. [3] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.