ANOVA Analysis Overview

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Questions and Answers

What is the first step to perform a one-way between-subjects ANOVA in SPSS?

  • Graphs > Chart Builder
  • Analyze > Compare Means > one-way ANOVA (correct)
  • Analyze > General Linear Model > Repeated measures
  • Data > Sort Cases

The F-ratio in ANOVA can identify the exact source of the effect.

False (B)

What does SS stand for in the context of ANOVA?

Sums of Squares

To analyze a one-way within-subjects ANOVA in SPSS, navigate to Analyze > ________ > Repeated measures.

<p>General Linear Model</p> Signup and view all the answers

Match the following options to their respective purposes in SPSS for ANOVA:

<p>Descriptive = Provides summary statistics of the data Brown-Forsythe = Tests for homogeneity of variance Welch = Adjusts for violations of homogeneity F-ratio = Compares variance among groups</p> Signup and view all the answers

What does ANOVA primarily examine?

<p>Differences between two or more groups (D)</p> Signup and view all the answers

ANOVA is a non-parametric test that does not assume a normal distribution of scores.

<p>False (B)</p> Signup and view all the answers

What is the name of the statistic computed in ANOVA to assess differences between group means?

<p>F statistic</p> Signup and view all the answers

ANOVA can be classified as ___________ if the independent variable is manipulated between participants.

<p>between subjects</p> Signup and view all the answers

What is one advantage of using ANOVA over multiple t-tests?

<p>It reduces the risk of Type 1 Error (A)</p> Signup and view all the answers

ANOVA can only be used when dealing with independent groups.

<p>False (B)</p> Signup and view all the answers

Name one of the parametric assumptions required for conducting ANOVA.

<p>Normality, homogeneity of variance, or independence of observations</p> Signup and view all the answers

The variable manipulated in ANOVA is referred to as a ___________.

<p>factor</p> Signup and view all the answers

Match the following terms with their definitions:

<p>F statistic = Assesses differences between group means Between subjects ANOVA = Independent groups across levels of an IV Within subjects ANOVA = Repeated measures of the same group Type 1 Error = Incorrectly rejecting a true null hypothesis</p> Signup and view all the answers

What does the term 'p' represent in ANOVA analysis?

<p>The probability of observing the results given that the null hypothesis is true</p> Signup and view all the answers

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Study Notes

Analysis of Variance (ANOVA)

  • ANOVA is an extension of a t-test, designed to examine differences between two or more groups or conditions.
  • ANOVA can be used for independent groups (between subjects) or repeated measures (within subjects).
  • ANOVA is a parametric test that makes assumptions about the distribution of scores.

Advantages of ANOVA

  • ANOVA avoids the need for multiple t-tests, which can lead to an increased risk of Type 1 errors.
  • ANOVA allows consideration of multiple independent variables (IVs) using factorial analysis.

Parametric Assumptions of ANOVA

  • Normality
  • Homogeneity of variance
  • Independence of observations
  • Interval or ratio level of measurement

Factors

  • Factors refer to independent variables (IVs).
  • Between subjects factors are manipulated between participants. (independent groups)
  • Within subject factors are manipulated within subjects. (repeated measures)

Conceptual Basis of ANOVA

  • ANOVA tests whether the differences between means are statistically significant.
  • ANOVA compares the variation explained by the manipulation with unexplained variation (e.g., individual differences).
  • ANOVA calculates an F statistic (F ratio).

F Statistic

  • The F statistic is calculated by dividing the variance attributable to the "treatment" or manipulation (assessing how means scores differ) by unexplained variance (due to individual differences).
  • The shape of the F distribution depends on the degrees of freedom (df).

One-Way Between-Subjects ANOVA

  • To conduct a one-way between-subjects ANOVA in SPSS: Analyze > Compare Means > one-way ANOVA
  • Select the dependent variable (DV) and factor.
  • Select "Descriptive", "homogeneity of variance test", "Brown-Forsythe", and "Welch" in the options.

"Sums of Squares" (SS)

  • SS refers to the sum of the squared differences between scores and the mean.
  • SS is used to calculate variance: MS = SS ÷ df.

Limitations of ANOVA

  • The F-ratio does not identify the source of the effect.
  • ANOVA is not suitable for all data – parametric assumptions must be met.

One-Way Within-Subjects ANOVA

  • To conduct a one-way within-subjects ANOVA in SPSS: Analyze > General Linear Model > Repeated Measures
  • Work through the dialogue boxes.

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