What are the basic characteristics of two-factor mixed experimental design?
What is a mixed experimental design? Mixed experimental design generally involves the treatment of two or more independent variables, in which the experimental design of each independent variable is different. For example, one independent variable needs to use one design process, such as intra-subject design process, while another independent variable needs to use different kinds of design processes, such as inter-subject design process. In fact, several experiments were carried out at the same time. Of course, the meaning of mixed experimental design not only refers to the mixing between subjects, but also includes the mixing of experiments and quasi-experiments, the mixing of experiments and non-experiments, and the mixing of quasi-experiments and non-experiments. Two-factor mixed experimental design What do you mean by two-factor mixed experimental design? In the two-factor experiment, if one independent variable adopts inter-group design and the other independent variable adopts intra-group design, it constitutes the simplest mixed experimental design. The basic feature of two-factor mixed experimental design is 1. Experimental design includes an intra-subject factor and an inter-subject factor, which is a commonly used experimental design method in educational psychology research at present. 2. In this experimental design, researchers are interested in the role of the internal variables of the subjects and the interaction between them, and usually take what researchers are interested in as the internal factors of the subjects. The design of two-factor mixed experiment has the characteristics of both internal design and inter-subject design. 3. When a variable in the study will have a long-term impact on the subjects, such as the learning effect or the variables of the subjects, a mixed experimental design is needed. The basic method of two-factor experimental design is to determine the internal variables and inter-subject variables in the study, randomly assign the subjects to the inter-subject variables at all levels, and then make each subject accept the combination of various levels of internal variables and a certain level of inter-subject variables. Subjects were assigned to b1b2b3a1s1s1ss2s3ss4, s 4 a 2s 5s 5s 5s 6, S6, S7, S7, S8, S8. In the study of the density of new words in the article, we also want to explore the influence of familiarity with the theme of the text on reading comprehension. The researcher chooses the density of new words as an internal variable, which has three levels: 5: 1 (B 1), 10: 1 (B2), 20: 1 (B3), and regards topic familiarity as a cross-topic variable, which is Eight fifth-grade students were randomly divided into two groups. One group of students read three articles with different densities of new words and familiar topics, while the other group read three articles with different densities of new words and unfamiliar topics. In the experiment, read three articles in three times, and use Latin squares to balance the reading order of students. Two-factor mixed experiment calculation table ABS table b1b2b3sigma a1345s267s3 445s432212137a2s54812s65913s7. 3812s8371124272321ab table b1b2b3 ∑ a1a2n = 41619. Decomposition and calculation of the sum of 38+0 48 67 squares SS = between subjects SS+ within subjects SS = = SSA+ within subjects SS (1) within subjects SS = = SS b+ SSAB+SSB×× subjects (1) reference 1 Li, two-factor mixed design and variance analysis in educational experimental research. Journal of Tianjin Vocational and Technical Teachers College, Vol. 44, The effects of quantitative exercise load and personality characteristics on kinesthetic accuracy and motor stability. Journal of Psychology, Volume 28, No.2, No.3 Shiyan, Quantitative elbow posture accuracy at different intervals after exercise load. Journal of psychology, 3 1 volume, l issue, 4 Shiyan, application of mixed design in experimental research of sports psychology. Journal of Shanxi University (Natural Science Edition), 5 Wang Zhi, Jiang Qi, Zhang Dajun, Coding and Identification Experiment of Internet Addicts.