Loading...
A level psychology
QuizĀ by Kemberly Weekes
Customize this quiz to suit your class
Instantly translate to 100+ languages
Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.
Give this quiz to my class
A Level Psychology Memory topicA Level eduqas research methods in psychology Create a vocabulary quiz for 10th grade EFL students at CEFR B1 level. For example: adequate means: 1. sufficient 2. more and more 3. not enough. Use all the vocabulary below and provide accompanying definitions per the example to create this vocabulary quiz. The vocabulary quiz must contain at least 226 questions including the following vocabulary: addition advance advanced advertising among other thingsĀ analysis appear approach as at least average be responsible for something be responsible for doing something before besides can challenge chance change characteristic claim come after come first come last common complicated concern conditions conduct consequence considerable cope critic current decrease delayed deliberately demonstrate design destruction development disagreement disaster discovery dislike do doubt drop educate efficient emphasis enjoyable essay essentially even ifĀ even thoughĀ event exactly except thatĀ exist extraordinary feature feedback figure financial finding findings flexible flood flu focus on somebody or something focus frequent fresh frighten from gain generate guidance hopefully ideal illness illustrate image in terms of something in actual fact in connection with something in that case in the meantime initial instruction intelligence interest introduce invest investigate just aboutĀ just aboutĀ keep on doing something kind of knowledge lack landscape likely limited little look at something low material mean means measure mention miss misunderstand more or less must naturally nature necessarily nevertheless not at all not only notice objective occasional official on the one hand on the other hand once others otherwise out of dateĀ participate particular past perform personality personally planet planning plant point of view policy pollution popular population prevent priority private probable produce profession professor proof proposed protest provided (that) psychology public purpose quality question question questionnaire react reasonable recommend recycle regard region regular relevant reliable rely on/upon sb/sth request research result review revise risk run out of rural salary sample seldom sense set up sth or set sth up significant skilled slight specialist specific still structure study supposed surface take advantage of sth thanks to somebody or something theory throw away throw out something throw something away throw out transport trash treatment unfortunately unhealthy unique united universe unknown unlike unlikely urban vary view visible vision volume whom wildlife within worthwhile would additional analyze analyst appearance on average change characterize complicate concerned concerning concerned with something consequently cope with something criticize criticism currently deliberate demonstration designer developing developed educated educator efficiency efficiently emphasize enjoyment existence existing figure out something finance flexibility frequency hopeful illustration initially intelligent interested in something investor investment investigation investigator limitation meaning occasionally old-fashioned participant participation particularly performance planned pollute prevention producer professional psychological psychologist publicly reaction reasonably recommendation regardless regarding regional relevance researcher resulting revision sensible set out something set something out significantly significance skillful slightly specialize specifically specify theoretical transportation unfortunate unity unite universal variation viewerOne factor vs Two factor analysis of variance. If we look at the most common types of analysis of variance, we distinguish between the one factor and the two factor analysis of variance, and on the other hand, the analysis of variance without repeated measures and with repeated measures. What is the difference between single factorial and two factorial? Let's start with the question of what a factor actually is. A factor is, for example, the gender of a person with the characteristics male and female, or the form of therapy used for a disease with therapy A, B, and C. Or it could be the field of study with, for example, medicine, business administration, psychology, and math. 0:51 In the case of analysis of variance, a factor is therefore a categorical variable. You use an analysis of variance whenever you want to test whether these categories have an influence on the so-called dependent variable. For example, you could test whether gender has an influence on salary, whether the therapy has an influence on the blood pressure or whether the field of study has an influence on the duration of study. Salary, blood pressure and study duration are then the dependent variables. In all these cases, you could use a single factor analysis of variance. You're right if you say, well, in the first case, we have a variable with only two categories. So, of course, we could use the t-test for independent samples as well. 1:56 Now, of course, you may say, but I have another categorical variable that may also have an effect on the dependent variable and I want to include that variable as well. Maybe you would also like to know if in addition to gender the highest level of education has an impact on salary. Or in addition to the form of therapy maybe you would also like to include gender. Or in the third case you would also like to know whether in addition to the field of study, the university attended also has an influence on the length of study. Now, in these cases, you would not have one factor, but two factors in each case. 2:40 And since you now have two factors, you use the two-factor analysis of variance. With the help of the two-factor analysis of variance, you can now answer three things. Once, whether the first factor has an influence on the dependent variable. Once, whether the second factor has an influence on a dependent variable. And then you can also make a statement whether there is a so-called interaction effect between the two factors. Therefore, in the case of single factor analysis of variance, we have one factor from which 3:20 we create the groups. In the case of the two-factor analysis of variance, the group results from the combination of the expression of the two factors. If we have a factor or variable with three expressions and one with two expressions, we get a total of six groups that we want to compare. If we have a factor or variable with three expressions and one with two expressions, we get a total of six groups that we want to compare. I hope you enjoyed the video and see you next time.A levelA level sociologyA level maths statisticsA level biology biological molecules