Based on the results of a repeated-measures ANOVA, a researcher reports F(2, 7) = 1.01, p > .05. The researcher should _____ the null hypothesis and conclude that _______. a. Accept ; there is not a significant effect b. Reject ; there is a significant effect c. Reject ; there is not a significant effect d. Accept ; there is a significant effect
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Based on the results of a repeated-measures ANOVA, a researcher reports F(2, 7) = 1.01, p > .05. The researcher should _____ the null hypothesis and conclude that _______.
Accept ; there is not a significant effect
Reject ; there is a significant effect
Reject ; there is not a significant effect
Accept ; there is a significant effect
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- What is an experiment?Based on the results of a repeated-measures ANOVA, a researcher reports F(3, 13) = 5.26, p < .05. What are the results of this ANOVA? a. The null hypothesis is rejected b. The difference between treatments are less than would be expected with a treatment effect c. No effects were observed d. There are no mean differences among the treatment conditions being comparedWhen conducting an ANOVA, what is the purpose of a Tukey’s HSD post-test? Group of answer choices To see whether you reject H0 and conclude the factor had an overall effect To see whether there is a pattern to the variability in the sample means To see exactly how big of an effect the treatment had To see which pairs of sample means are significantly different from each other
- An RA at the University of Baltimore has concluded that the difference between the mean GPA scores of Senior and junior is statistically significant, when in fact the null hypothesis of no difference is true. What type of error has he committed?What is H0 for a one-way ANOVA? If H0 is rejected, does that imply that each mean is significantly different from every other mean? What information do you need to decide on a sample size that will provide adequate statistical power? If there is an overall significant F in a one-way ANOVA, can we conclude that the group membership or treatment variable caused the observed differences in the group means? Why or why not?Which of the following is an advantage most likely to be associated with a cross-sectional design compared to a longitudinal design? a) more generalizable b) resistant to the "cohort effect" c) more powerful d) quicker
- For each of the following scenarios, what are two names for the ANOVA that would be conducted to analyze the data? A researcher examined the effect of gender and pet ownership (no pets, one pet, more than one pet) on a measure of loneliness. In a study on memory, participants completed a memory task once each week for 4 weeks—twice after sleeping 8 hours and twice after sleeping 4 hours. In each sleep condition, the participants completed the task after ingesting a caffeinated beverage and again, on another day, after ingesting a “placebo” beverage that they were told contained caffeine. A study examined the impact of students’ Instagram profiles on numbers of Instagram friends. The researchers were interested in the effect of (1) the profile photo—either an identifiable photo of the student or a photo of someone or something else (e.g., a dog)—and (2) bio length—either short (fewer than 75 characters) or long (75 characters or more).Given a sample of 50 observations with a Pearson's r correlation coefficient of 0.8, what is the p-value for a two-tailed hypothesis test with a significance level of 0.05?The following data were obtained from an independent-measures research study comparing three treatment conditions. Use ANOVA with a= .05 to determine whether there are any significant mean differences among the treatments (Do all steps of a hypothesis test). If so solve for the effect size and conduct post hoc tests. Treatment Treatment 1 Treatment 2 Treatment 3 5 2 7 1 6 3 2 2 2 3 3 4 0 5 5 1 3 2 2 0 4 2 3 5
- An independent measures research study with n=5 participants in each treatment produces sample variances of 8 and 10, and a 2-point difference between the two treatment means. What is the value of Cohens d?In a one-way analysis of variance with three treatments, each with five measurements, in which a completely randomized design is used, what is the degrees of freedom for treatments?For a repeated-measures study, a small variance for the difference scores indicates that the treatment has little or no effect. True or False?