SPSS - Analysis Flashcards

1
Q

SPSS - Frequency

A

Analyse - Descriptives - Frequencies - Statistics (pick what you want to see) - Chart (Histograms + normal curve)

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2
Q

SPSS - Scale score

A

Transform - Compute Variable - Look up Mean in the list / MEAN (put in variables)

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3
Q

SPSS - Inter-item reliability

A

Analyse - Scale - Reliability

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4
Q

SPSS - Visual Distribution

A

Descreptive - Score - Select variable - Plots - Normal plots

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5
Q

SPSS - Skewness and Kurtosis

A

Analyze- Descriptive - Options - Skewness and Kurtosis

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6
Q

SPSS - Collinearity

A

Analyze - Regression - Linear regression - Statistics - Collinearity diagnostics

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7
Q

SPSS - Missing data

A

Analyze - Descreptives - All variables except ID

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8
Q

SPSS - Reverse coding

A

Transform - Recode into different variables - Select variables we want to recode - Rename it - Change - Old and new values

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9
Q

SPSS - Related t-test

A

Analyse - Compare means - Paired t-test - Select variable

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10
Q

SPSS - Independent t-test

A

Analyse - Compare means - Independent t-test - Select variable (IV and DV) - Define groups

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11
Q

SPSS - One-way ANOVA

A

Analyze → Compare means → One way ANOVA → Dependent variable→ Factor(grouping variable)→ Options(descriptive, sd for each group) → Homogeneity test→ Brown and Welsh(only of the assumption is violated)

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12
Q

SPSS - Post-hoc

A

Analyze - Compare means - One-way ANOVA - Post hoc - Tukey

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13
Q

SPSS - Factorial ANOVA

A

Analyze - General linear model - Univariate (one dependent) - Put in variables (IVs to fixed factor) - Options for effect size, homogeneity and descriptive

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14
Q

SPSS - Repeated measure ANOVA*

A

Analyze - General linear model . Repeated measure - Factor 1 (just a label) - Number of levels (times of assessment - Add - Define (which of the variable is the different assessments, click to correct times)

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15
Q

SPSS - Principal axis factoring

A

Analyze - Dimension reduction - Factor - Descriptive - KMO and Barlett’s test - Rotation - Varimax

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16
Q

SPSS - Correlation

A

Analyze - Correlate - Bivariate (two variables) - Add them

17
Q

SPSS - Partial correlation

A

Analyze → Correlate → Partial → Add variables and control variable(you can add as many as you want but need theoretical framework)

18
Q

SPSS - Corrected item-scale correlation

A

Analyze → Scale → reliability analysis → statistics → item → scale if item deleted

19
Q

SPSS - Normality data

A

Analyze → descriptives → explore → statistics → outliers + plots → normality plots with tests

20
Q

SPSS - Linear Regression

A

Analyze→ regression → linear regression → (can do plots), (collinearity d)

21
Q

SPSS - Outliers *

A

Analyze → regression → linear → save → standardized (under residuals) → run the analysis. This will give you a new variable. This variable we trwor into descriptives → explore and check for outliers