Assignment Example | Topics and Well Written Essays - 750 words - 86

Assignment ExampleHint There are two null hypotheses for each research question here. (2 pts. each, 8 pts. total).(d) List the eccentric person of variable for the dependent variable and autarkic variables (categorical or continuous). (.50 pt. each, 4 pts. total). Recall that researchers often compute total scores or average scores as a composite score when using measures.1. What statistical test did the researchers conduct to test research question 2 and research question 3? (1 pt.) Was each test the appropriate one to use? Why or why not? (1 pt.) Hint Consider how many groups they were comparability for school type by looking at the dfbetween in Table 3.4. What is the Cohens d effect size for the difference in cyber bullying between males and females? (1 pt.) Interpret the effect size as small, medium, or large. (.50 pt.) Interpret the effect size in terms of standard deviation. (1 pt.)1. Did the intervention (KWL group) and avow groups statistically significantly differ on the pre-tests for the MAT, MI, or MAS? Support your answer with evidence from the article. Include what alpha level the researchers used as the criterion. (2 pts.)An Independent Samples t-test is used to draw inferences about two populations by comparing TWO INDEPENDENT samples on a continuous level dependent variable. In this case the researchers were drawing conclusions about the pre-test scores study group and control groups which are independent.1. (a) State one research question from your area of interest that could be answered with an Independent Samples t-test (2 pts.). Identify the (b) independent variable (1 pt.), (c) dependent variable (1 pt.), and types of variables in your research question (2 pts.).2. (a) State one research question from your area of interest that could be answered with a One-Way Analysis of Variance (2 pts.). Identify the (b) independent variable (1 pt.), (c) dependent variable (1 pt.), and types of variables in your research question (2 pts.).3. (a) Stat e one