PSY 103 • Final • Quantitative Methods in Psychology I

Logic and Purpose of Hypothesis Testing

The Probability Value

The Null and the Alternative Hypothesis

Critical Values, p-values and Significance Level

Steps of the Hypothesis Testing

Effect Size

Errors in Hypothesis Testing

Misconceptions in Hypothesis Testing

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The t-statistic

Hypothesis Testing with t

Confidence Intervals

Hypothesis Testing with Confidence Intervals

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Change and Differences

Hypothesis of Change and Differences

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Difference of Means

Independent Samples Example

Confidence Intervals

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Introduction to Correlations, Variance & Covariance

Visualizing Relations

Three Characteristics of Correlation

Pearson's r (Correlation Coefficient)

Effect Size

Correlation vs. Causation

Range Restriction & Outliers

Correlation Matrix

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Observing and Interpreting Variability

Sources of Variance

Hypothesis Testing in Anova

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Line of Best Fit

Prediction

Predicting Scores and Explaining Variance

Hypothesis Testing in Regression

Effect Size & Accuracy in Prediction

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Introduction

Hypothesis for Repeated Measures ANOVA

Logic of Repeated Measures ANOVA

Calculating a Repeated Measures ANOVA

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Introduction

Overview of Eysenck's Study

Interaction & Simple Effects

Effect Size

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Introduction to SPSS

Getting to Know SPSS

Compute Variable in SPSS

Descriptive Statistics and Tests of Normality

One Sample t-Test

Reporting One Sample t-Test

An Example of One Sample t-Test

Reporting One Sample t-Test Example

Independent Samples t-Test

An Example of Independent Samples t-Test

Paired Samples t-Test

Correlations

ANOVA (Analysis of Variance)

Linear Regression

Repeated Measures ANOVA

Factorial Design ANOVA