Lec1.2

# Lec1.2 - Hypothesis Winning a million dollars Happiness...

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Hypothesis: Winning a million dollars Happiness Testable Hypothesis: Winning lots of money Happiness Subsidiary Hypothesis: Winning more money More Happiness

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Testable Hypothesis: Winning lots of money Happiness Operational Definitions: Winning lots of money Winning money on a game show. Happiness Person’s rating of own mood on scale.
Study 1: Measure the variables of interest. Measure: How much people have won on the show, “Deal or No Deal.”. Rating of own mood on scale: Bad___:___:___:___:___Good Measure: Correlate the measures

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Correlational Results 0 1 2 3 4 5 6 7 Zilch \$100 \$100K \$1M Positive correlation: As one variable (amount won) goes up, other (mood rating) goes up too. Amount of Money Won on Show Mood Rating
Correlational Results 0 1 2 3 4 5 6 7 Zilch \$100 \$100K \$1M Amount of Money Won on Show Mood Rating Negative correlation: As one variable (amount won) goes up, other (mood rating) goes down.

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Correlational Results 0 1 2 3 4 5 6 7 Zilch \$100 \$100K \$1M Amount of Money Won on Show Mood Rating Zero correlation: When there is no relationship between what one variable does and what other variable does.
Correlational Results 0 1 2 3 4 5 6 7 Zilch \$100 \$100K \$1M Amount of Money Won on Show Mood Rating Zero correlation: When there is no relationship between what one variable does and what other variable does.

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Correlations -1 +1 0 -.5 +.5 Perfect Negative Relationship Perfect Positive Relationship No Relationship Moderate Negative Relationship Moderate Positive Relationship
Problems with correlational studies They show that two things are related: For example, how much people win is related to their moods. But is this because winning money puts people in a good mood? Winning Money Good Mood

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Problems with correlational studies Or because being in a good mood helps you to win money? Winning Money Good Mood
One other complication Correlations reflect relationship only within the range examined.

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What if: 0 1 2 3 4 5 6 7 Zilch \$100K \$5M \$250M Curvilinear relationship : One variable relates to the other in a “non-linear” manner Amount of Money Won on Show Mood Rating
Look only at lower values, relationship appears positive. 0 1 2 3 4 5 6 7 Zilch \$100K \$5M \$250M Curvilinear relationship : One variable relates to the other in a “non-linear” manner Amount of Money Won on Show Mood Rating

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Look only at higher values, relationship appears negative. 0 1 2 3 4 5 6 7 Zilch \$100K \$5M \$250M Curvilinear relationship : One variable relates to the other in a “non-linear” manner Amount of Money Won on Show Mood Rating
Must make sure you are measuring variables over whole range of interest. Note similar moral for experimental

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Lec1.2 - Hypothesis Winning a million dollars Happiness...

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