PSYC 363 Exam 3 Lecture 14/15-ANOVA & 16- Research Cycle

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Last updated 8:23 AM on 4/23/26
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26 Terms

1
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What is a factorial design?

  • Any study involving more than one independent variable (IV) simultaneously.

2
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What is the main effect?

represents the impact of one independent variable on the dependent variable, regardless of the values of the other independent variables.

3
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Interaction

Occurs when the effect of one IV depends on the specific level of another IV.

4
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Simple Main Effect

  •  Breaking down an interaction by examining the effect of one IV at a specific level of another.

5
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What is the likely statistical outcome when lines on a line graph are parallel?

It indicates that there are no interaction effects present.

6
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What if they’re intersecting?

  • Suggests a likely interaction effect.

7
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What if they’re neither parallel nor intersecting? (hint: think about main effects and interaction) -

  • It is an ordinal interaction; an interaction effect will be present 

8
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What does ANOVA stand for? -

  • Analysis of Variance. 

9
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How is the F statistic calculated? (no need to know the specific formula, just the general idea) -

10
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What are the factors affecting how large F is?

  • Smaller within-group variability, larger between-group difference

11
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What is a one-way ANOVA? -

  • 1 Independent Variable, 3+ levels.

12
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What is the advantage of a one-way ANOVA over independent-samples t-test? -

Its ability to compare the means of three or more groups simultaneously without increasing the risk of a Type I error (false positive). It maintains the overall significance level whereas multiple t-tests increase the error rate.

13
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What is a two-way ANOVA? -

  •  2+ IVs (factorial design)

14
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What does each digit in a factorial design represent? What does the actual number represent? -

(2×3) 2= Two independent variables, two levels (ex: male, female)..

The second IV has three levels (ex: low, medium high)

15
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What is repeated-measures ANOVA? -

  • a statistical test used to compare the means of three or more measurements taken from the same subjects over time or under different conditions.

16
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What is a regression? How is it calculated (general idea, not specific formula)

  •  used to predict an outcome (dependent variable) based on one or more predictor variables (independent variables).

17
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What is chi-square? What research questions is it suitable for?

  •  determines if there is a significant relationship between two categorical variables (e.g., gender and political affiliation) by comparing observed frequencies to expected frequencies.

    • Suitable for surveys and categorical research questions

18
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One-sample t-test:

  • a statistical method used to determine if the average (mean) of a single group differs significantly from a known or hypothesized population value.

19
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Independent-sample t-test:

  • compares the averages (means) of two completely separate, unrelated groups to determine if they are significantly different from each other.

20
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Paired samples t-test:

  • compares the averages (means) of two completely separate, unrelated groups to determine if they are significantly different from each other.

21
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Correlation

  • Strength of the relationship between two continuous variables.

22
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What are the different components (sections) of a research article?

  • Abstract, Introduction, Methods, Results, Discussion, References, and Tables and Figures.

23
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How is the introduction section of a research paper organized?

  • Define specific hypotheses, define what is known and what is needed to be found out from the study, and lastly understand why this topic is important. 

24
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  • How is the discussion section organized? - 

  • Restating the hypotheses, support with personal research data alongside other literature sources, and broader implications.

25
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What is publication bias? -

  • The tendency to publish only research that shows significant effects.

    • Example: gender differences.

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What are some of the major national research funding agencies? -

  • National Institutes of Health (NIH), National Science Foundation (NSF), Ford Foundation, Spencer Foundation, William T. Grant Foundation, Bill & Melinda Gates Foundation.