MCP can be used to further examine which of the followign (choose one):
a. the significant interaction effect in a two-factor random-effect model.
b. the significant interaction effect in a two-factor mixed-effect model.
c. the significant main effect of a between-subjects fixed factor in a two-factor split plot model.
d. the significant main effect of a within-subjects random factor in a two- factor split plot model.
c. the significant main effect of a between-subjects fixed factor in a two-factor split plot model.
MCP stands for Multiple Comparison Procedures, which is a statistical technique used to perform post hoc comparisons between groups or conditions in an experiment when there are significant main effects or interaction effects in the data. In the context of the given options, MCP is used to examine the significant main effect of a between-subjects fixed factor in a two-factor split plot mode
MCP can be used to further examine which of the followign (choose one): a. the significant...
In a one-factor random-effects model, suppose we find that the effect of factor A is significant at α = .05. Which of the following is our best option? a. We should conduct MCP on A. b. We should conduct MCP only when A has more than two levels. c. We conclude that not all the μ.j. are equal at significance level .05. d. We are sure that the effect of A will also be significant if we have applied a...
Dr. Bellus wants to study how people's perception of attractiveness is affected by the gender of the subjects, and the facial expression of the object. Each participant views six headshots (in random order) of the same person, who demonstrates different facial expressions (joy, surprise, fear, anger, sadness, and disgust) in each picture. The participants are then asked to rate the attractiveness level of each picture. The rating is the dependent variable. Below is the selected output of a two-factor split...
Dr. Bellus wants to study how people's perception of attractiveness is affected by the gender of the subjects, and the facial expression of the object. Each participant views six headshots (in random order) of the same person, who demonstrates different facial expressions (joy, surprise, fear, anger, sadness, and disgust) in each picture. The participants are then asked to rate the attractiveness level of each picture. The rating is the dependent variable. Below is the selected output of a two-factor split...
question 36 A researcher computes a 2 × 3 between-subjects ANOVA test in which 11 participants were observed in each condition. If F= 5.20 for both main effect tests and the A × B interaction test, then the decision for each test ______. a. There is not enough information to answer this question. b. will be significant for Factor B and the A × B interaction c. will be significant for both main effects and the A × B interaction...
Ravi conducts a study where patients of a clinic are measured on their blood pressure each month over the course of one year. Which ANOVA model is most appropriate for analysis of these data? a. One-factor random-effects model b. Two-factor random-effects model c. One-factor fixed-effects model d. Two-factor fixed-effects model e. Two-factor mixed-effects model f. One-factor repeated measures design g. Two-factor split-plot design h. One-factor ANCOVA design
1-6 aloud. Scoring is time it takes to re enhancing child analysis of varia time (pretest vs tional condition significant main main effect of i Two-Way ANOVA To assess the Effectiveness of a Reading Pro gram What is imp tional conditior STATISTICAL GUIDE In a two-way ANOVA, there are two independent vari outcome variable. The independent variables are usua sifications and the outcome variable is usually a continuous one understand this, examine Figure 1, where the two inde are nominal...
Hi I need some help with these questions, please! Tests of Between-Subjects Effects Dependent Variable: Are you willing to participate? Type IIl Sum of Squares df Mean Square 21.324 Si Corrected Model Intercept Condition Model ConditionModel Error Total Corrected Total 63.972a 5378.114 18.358 7.158 24.781 203.995 6176.000 267.967 12.126 5378.114 3058.220 10.439 4.070 4.091 002 18.358 7.158 24.781 1.759 046 116 120 119 a. R Squared .239 (Adjusted R Squared 219) 2). Choose the correct interpretation of the Tests of...
Can someone please help me with this proof. I know how to do this with all factors fixed and all factors random, but with the mixed model I am confused. I think my confusion may be with shown below, where it is not y-bar like the others. An example proof with clarity would be helpful. Thank you in advance! a b n yij i=1 j=1 k=1 T fixed main effect of ith level of treatment Factor A β, random main...
An instructor in a statistics class wants to evaluate the effectiveness of three teaching assistants using different instructional methods (1: small group work, 2: lecture, and 3: individual work with TA help). For one class session, the students are equally and randomly assigned into one of the three groups, each of which receives a lecture on “ANOVA” from one of the teaching assistants. At the next meeting of the class, the students are given a quiz on the material. To...
Which of the following conclusions would result in the greatest generalizability of the main effect for factor A across the levels of factor B? The interaction between the independent variables A and B was A. Not significant at the 0.25 level B. Significant at the .10 level C. Significant at the .05 level D. Significant at the .01 level E. Significant at the .001 level