Chapter 4 - Statistical analysis Flashcards

1
Q

What are the major steps to prepare data for statistical analysis?

A

*­ Clean the dataset.
­ Coding ( put numbers on the data )
­
Organize to software

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2
Q

What are the measures of central tendency?

A

­ Median: midt i rekkefølge
­ Mode/modus: Det som forekommer mest
­ Mean: gjennomsnitt

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3
Q

What are the measures of spread?

A

­Range: Max ­- min.
­Variance: Avstanden fra gjennomsnitt opphøyd i 2, sammenlagt og tatt gjennomsnittet av.
­Standard avvik: kvadratrot av varians.
­ (Høye verdier = stor spredning)

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4
Q

What is normal distribution? Why is it important to test whether a data sample is normally distributed?

A

Normal distribution is to distribute the scores normally.­ It must meet a requirement for parametric tests to be appropriate. (s.76)

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5
Q

What statistical methods are available for comparing group means?

A

T­-test and ANOVA.
­
T test gets a T value. If bigger the bigger chance there is for the null­hypothesis to be
false.
­
Also generates a P value that says something about the chance of the answer being a
coincidence. (should be under 5%)

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6
Q

What statistical method can be used to compare two group means contributed by two
independent groups?

A

Indipendent samples T-test: between­group. (s.75-6)

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7
Q

What statistical method can be used to compare two group means contributed by the same group?

A

Paired sample T-test: within­group.

s.75-6

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8
Q

When should a one­way-ANOVA test be used? Describe a research study design that fits the one­way ANOVA test.

A

Basic design with 1 variable and more than 2 conditions.

Between­group.

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9
Q

When should a f actorial ANOVA test be used? Describe a research study design that fits the factorial ANOVA test.

A
Factorial design (>1 variable).
between­group.
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10
Q

When should a repeated measures ANOVA test be used? Describe a research study design that fists the repeated measures ANOVA test.

A

Within-­group, more than 1 IV or more than 2 conditions.

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11
Q

When should a s plit­plot ANOVA test be used? Describe a research study design that fits the split­plot ANOVA test.

A

Factorial design.

Split­plot.

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12
Q

When should correlation analysis be used? What does Pearson’s r square represent?

A

Er det et statistisk forhold mellom 2 variabler?
X påvirker Y. Når man har gjort et korrelasjonsstudie. Pearsons R sier noe om styrken til forholdet. (­1 til 1)
0 = ikke noe forhold.
­-1 = negativt forhold.
1 Positivt forhold.
R square sier % av X som blir påvirket av Y. (0.5^2 = 25%)(s. 86).

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13
Q

When should regression analysis be used? Describe a research study that requires regression analysis.

A

Ligger under korrelasjonsanalyse.
Forholdet mellom 1 og flere andre.
Prediksjonssvar = en uavhengig variabel blir brukt for å forutse et annet svar.

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14
Q

Name two regression procedures and discuss when a specific procedure should be used.

A

Sjekk boka

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15
Q

What are the assumptions for parametric statistical tests?

A

Tester som har en normalfordeling.
Ikke­parametiske tester har ikke en normalfordeling.
Sier om det er en normalfordeling eller ikke.
Sier ikke mye mer.

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16
Q

When should non-parametric statistical tests be considered?

A

When all the requirements (assumptions) from parametric test can’t be reached.

17
Q

is the C hi­square test “assumption free”? If not, what are the assumptions of a Chi­square test?

A

No, because non­parametric tests are not assumption free.
­ The data points must be independent from each other.
­ Not to small sample. Suggested that 20+ is good.

18
Q

What are the alternative non­parametric test for the independent­samples t test, the paired­ samples t test, the one way ANOVA test, and the one way repeated measures ANOVA test?

A

Sjekk boka

19
Q

Hvordan velger man hvilken statistisk analyse man bør bruke? Nevn to eksempler på type statistisk test, forskjeller og eksempler på når du bruker to forskjellige

A

*