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Page 1: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

PowerPowerPowerPower

Page 2: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Four Components to a The Four Components to a Statistical ConclusionStatistical Conclusion

The Four Components to a The Four Components to a Statistical ConclusionStatistical Conclusion

The number of units (e.g., The number of units (e.g., people) accessible to studypeople) accessible to study

The salience of the program The salience of the program relative to the noiserelative to the noise

The odds the observed result is The odds the observed result is due to chancedue to chance

The odds you’ll observe a The odds you’ll observe a treatment effect when it treatment effect when it occursoccurs

Sample sizeSample sizeSample sizeSample size

Effect sizeEffect sizeEffect sizeEffect size

Alpha levelAlpha levelAlpha levelAlpha level

PowerPowerPowerPower

Page 3: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Four Components to a The Four Components to a Statistical ConclusionStatistical Conclusion

The Four Components to a The Four Components to a Statistical ConclusionStatistical Conclusion

Amount of informationAmount of information

Salience of programSalience of program

Willingness to riskWillingness to risk

Ability to see effect that’s thereAbility to see effect that’s there

Sample sizeSample sizeSample sizeSample size

Effect sizeEffect sizeEffect sizeEffect size

Alpha levelAlpha levelAlpha levelAlpha level

PowerPowerPowerPower

Page 4: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Effect SizeThe Effect SizeThe Effect SizeThe Effect Size

Is a ratio of...Is a ratio of...

Page 5: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Effect SizeThe Effect SizeThe Effect SizeThe Effect Size

Is a ratio of...Is a ratio of...

SignalSignalSignalSignal

NoiseNoiseNoiseNoise

Page 6: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Effect SizeThe Effect SizeThe Effect SizeThe Effect Size

Is a ratio of...Is a ratio of...

Difference between groupsDifference between groupsDifference between groupsDifference between groups

Standard error of the differenceStandard error of the differenceStandard error of the differenceStandard error of the difference

SignalSignalSignalSignal

NoiseNoiseNoiseNoise

Page 7: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

Given Values for Any Three, You Given Values for Any Three, You Can Compute the Fourth.Can Compute the Fourth.

Given Values for Any Three, You Given Values for Any Three, You Can Compute the Fourth.Can Compute the Fourth.

n = f(effect size, a, power)n = f(effect size, a, power) effect size = f(n, a, power)effect size = f(n, a, power) a = f(n, effect size, power)a = f(n, effect size, power) power = f(n, effect size, a)power = f(n, effect size, a)

Page 8: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

WhatWhatwe concludewe conclude

Page 9: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

WhatWhatwe concludewe conclude

Null trueNull true

Alternative falseAlternative falseIn In realityreality... ...

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

Page 10: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true

Alternative falseAlternative falseIn In realityreality... ...

Accept null

Reject alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

Page 11: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true

Alternative falseAlternative falseIn In realityreality... ...

Accept null

Reject alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

1-1-

THE CONFIDENCE LEVELTHE CONFIDENCE LEVEL

The odds of saying there is The odds of saying there is nono effect or gain when in effect or gain when in

fact there is nonefact there is none

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is nonethere is none

Page 12: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true

Alternative falseAlternative falseIn In realityreality... ...

Reject null

Accept alternative

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

Page 13: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true

Alternative falseAlternative falseIn In realityreality... ...

Reject null

Accept alternative

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

TYPE I ERRORTYPE I ERRORThe odds of saying there The odds of saying there isis

an effect or gain when in an effect or gain when in fact there is nonefact there is none

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is onethere is one

Page 14: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null falseNull false

Alternative trueAlternative true

In In realityreality... ... • There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

Page 15: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null falseNull false

Alternative trueAlternative true

In In realityreality... ...

Accept null

Reject alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

Page 16: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null falseNull false

Alternative trueAlternative true

In In realityreality... ...

Accept null

Reject alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

TYPE II ERRORTYPE II ERROR

The odds of saying there is The odds of saying there is no effect or gain when in no effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is nonethere is none

Page 17: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null falseNull false

Alternative trueAlternative true

In In realityreality... ...

Reject null

Accept alternative

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

Page 18: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

WhatWhatwe concludewe conclude

Null falseNull false

Alternative trueAlternative true

In In realityreality... ...

Reject null

Accept alternative

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

1-1-

POWERPOWERThe odds of saying there The odds of saying there isis

an effect or gain when in an effect or gain when in fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is onethere is one

Page 19: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true Null falseNull false

Alternative falseAlternative false Alternative trueAlternative true

In In realityreality... ... In In realityreality... ...

Accept null

Reject alternative

Reject null

Accept alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

1-1-

THE CONFIDENCE LEVELTHE CONFIDENCE LEVEL TYPE II ERRORTYPE II ERROR

The odds of saying there is The odds of saying there is nono effect or gain when in effect or gain when in

fact there is nonefact there is none

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is nonethere is none

The odds of saying there is The odds of saying there is no effect or gain when in no effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is nonethere is none

1-1-

TYPE I ERRORTYPE I ERROR POWERPOWERThe odds of saying there The odds of saying there isis

an effect or gain when in an effect or gain when in fact there is nonefact there is none

The odds of saying there The odds of saying there isis an effect or gain when in an effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is onethere is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is onethere is one

Page 20: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true Null falseNull false

Alternative falseAlternative false Alternative trueAlternative true

In In realityreality... ... In In realityreality... ...

Accept null

Reject alternative

Reject null

Accept alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

1-1-

THE CONFIDENCE LEVELTHE CONFIDENCE LEVEL TYPE II TYPE II ERRORERROR

1-1-

TYPE ITYPE I ERRORERROR POWERPOWER

Page 21: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true Null falseNull false

Alternative falseAlternative false Alternative trueAlternative true

In In realityreality... ... In In realityreality... ...

Accept null

Reject alternative

Reject null

Accept alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

1-1-

THE CONFIDENCE LEVELTHE CONFIDENCE LEVEL TYPE II ERRORTYPE II ERROR

1-1-

TYPE I ERRORTYPE I ERROR POWERPOWER

CORRECTCORRECT

CORRECTCORRECT

Page 22: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

Whatwe conclude

Null trueNull true Null falseNull false

Alternative falseAlternative false Alternative trueAlternative true

In In realityreality... ... In In realityreality... ...

Accept null

Reject alternative

Reject null

Accept alternative

We say...

• There is no real program effect

• There is no difference, gain

• Our theory is wrong

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

1-1-

THE CONFIDENCE LEVELTHE CONFIDENCE LEVEL TYPE II ERRORTYPE II ERROR

The odds of saying there is The odds of saying there is nono effect or gain when in effect or gain when in

fact there is nonefact there is none

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is nonethere is none

The odds of saying there is The odds of saying there is no effect or gain when in no effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is nonethere is none

1-1-

TYPE I ERRORTYPE I ERROR POWERPOWERThe odds of saying there The odds of saying there isis

an effect or gain when in an effect or gain when in fact there is nonefact there is none

The odds of saying there The odds of saying there isis an effect or gain when in an effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is onethere is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is onethere is one

If you try to increase power, you increase If you try to increase power, you increase the chance of winding up in the bottom the chance of winding up in the bottom

row and of Type I error.row and of Type I error.

If you try to increase power, you increase If you try to increase power, you increase the chance of winding up in the bottom the chance of winding up in the bottom

row and of Type I error.row and of Type I error.

Page 23: PowerPower. The Four Components to a Statistical Conclusion The number of units (e.g., people) accessible to study The salience of the program relative.

The Decision MatrixThe Decision MatrixThe Decision MatrixThe Decision MatrixIn realityIn reality

WhatWhatwe concludewe conclude

Null trueNull true Null falseNull false

Alternative falseAlternative false Alternative trueAlternative true

In In realityreality... ... In In realityreality... ...

Accept nullAccept null

Reject alternativeReject alternative

Reject null

Accept alternative

We We saysay......

• There is no real There is no real program effectprogram effect

• There is no difference, There is no difference, gaingain

• Our theory is wrongOur theory is wrong

We say...

• There is a real program effect

• There is a difference, gain

• Our theory is correct

• There is no real program effectThere is no real program effect• There is no difference, gainThere is no difference, gain• Our theory is wrongOur theory is wrong

• There is a real program effectThere is a real program effect• There is a difference, gainThere is a difference, gain• Our theory is correctOur theory is correct

1-1-

THE CONFIDENCE LEVELTHE CONFIDENCE LEVEL TYPE II ERRORTYPE II ERROR

The odds of saying there is The odds of saying there is nono effect or gain when in effect or gain when in

fact there is nonefact there is none

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is nonethere is none

The odds of saying there is The odds of saying there is no effect or gain when in no effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is nonethere is none

1-1-

TYPE I ERRORTYPE I ERROR POWERPOWERThe odds of saying there The odds of saying there isis

an effect or gain when in an effect or gain when in fact there is nonefact there is none

The odds of saying there The odds of saying there isis an effect or gain when in an effect or gain when in

fact there is onefact there is one

# of times out of 100 when # of times out of 100 when there is there is nono effect, we’ll say effect, we’ll say

there is onethere is one

# of times out of 100 when # of times out of 100 when there there isis an effect, we’ll say an effect, we’ll say

there is onethere is one

If you try to If you try to decrease Type I decrease Type I

errors, you errors, you increase the increase the

chance of winding chance of winding up in the top row up in the top row

and of Type II and of Type II error.error.

If you try to If you try to decrease Type I decrease Type I

errors, you errors, you increase the increase the

chance of winding chance of winding up in the top row up in the top row

and of Type II and of Type II error.error.