Scenario: A guidance counselor wanted to know if anxiety differs based on time (first day of class in relation to the last day of class), and if this differs based on year in school (as a freshman, sophomore, junior, or senior). She collected data on a single group of students across their entire high school career at these eight time points — first and last day of freshman, sophomore, junior, and senior year. Anxiety was measured using a standardized scale ranging from 0 — 50, with higher scores indicating greater anxiety. Question: If p = .014 for the interaction of Time x Academic Year, what should the researcher conclude? Group of answer choices The interaction is not significant; no additional analyses are needed to interpret it. The interaction is significant; no additional analyses are needed to interpret it. The interaction is not significant; run correlated groups t-tests for post hoc analyses. The interaction is significant; for post hoc analyses, split the file based on the factor "Time" and conduct one-way ANOVAs with LSD post hocs on the factor "Academic Year" to further interpret. The interaction is significant; for post hoc analyses, split the file based on the factor "Academic Year" and conduct correlated groups t — tests to further interpret.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 42PFA

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Scenario: A guidance counselor wanted to know if anxiety differs based on time (first day of class in relation to the last day of class), and if this differs based on year in school (as a freshman, sophomore, junior, or senior). She collected data on a single group of students across their entire high school career at these eight time points — first and last day of freshman, sophomore, junior, and senior year. Anxiety was measured using a standardized scale ranging from 0 — 50, with higher scores indicating greater anxiety. Question: If p = .014 for the interaction of Time x Academic Year, what should the researcher conclude?

Group of answer choices

The interaction is not significant; no additional analyses are needed to interpret it.

The interaction is significant; no additional analyses are needed to interpret it.

The interaction is not significant; run correlated groups t-tests for post hoc analyses.

The interaction is significant; for post hoc analyses, split the file based on the factor "Time" and conduct one-way ANOVAs with LSD post hocs on the factor "Academic Year" to further interpret.

The interaction is significant; for post hoc analyses, split the file based on the factor "Academic Year" and conduct correlated groups t — tests to further interpret.

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