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Summary Inferential Statistics SPSS Cheat Sheet Block 2 - All procedures step by step

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Course
Toetsende Statistiek (6461PS006Y)

Institution
Universiteit Leiden (UL)

This document contains all necessary procedures that you have to know for the Block 2 SPSS exam, written step by step. It is the only document I brought with myself, and it helped a lot - my grade was 10.

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Uploaded on November 4, 2023
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Written in 2023/2024
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spss
statistics
inferential statistics

Institution
Universiteit Leiden (UL)
Education
Psychologie
Course
Toetsende Statistiek (6461PS006Y)

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SPSS cheat sheet
Block 2

One-sample t test: ANALYZE  COMPARE MEANS  ONE-SAMPLE T TEST (tick “effect sizes”)

Independent-samples t test: ANALYZE  COMPARE MEANS  INDEPENDENT-SAMPLES T TEST  add
test variable & grouping variable (define groups)

Paired-samples t test:

Method 1: ANALYZE  COMPARE MEANS  PAIRED-SAMPLES T TEST  add variables 1 and 2

Method 2: TRANSFORM  COMPUTE NEW VARIABLE  µ1 – µ2 (new variable “differences”)

ONE-SAMPLE T TEST for new “differences” variable

! always check if they ask for µ1 – µ2 or µ2 – µ1 (change var 1 and var 2 when doing the t test)
*when reporting test statistics & p values => always look at the equal variances not assumed row in the output

Effect size:  reported with a statistical test (tick “effect sizes” when doing a test)
! always reported positive (even if it appears negative in SPSS)

Confidence interval:  reported with a statistical test (to change percentage go to OPTIONS 
CONFIDENCE INTERVAL PERCENTAGE  change from 95% to 90%)

Report means/medians etc.: ANALYZE  COMPARE MEANS  MEANS  add variables in the
“Dependent List”  OPTIONS  add “means” and “medians” into the box

Wilcoxon rank-sum test:

1. Change variable from Nominal to Ordinal (in VARIABLE VIEW) (or not?)

2. ANALYZE  NONPARAMETRIC TESTS  LEGACY DIALOGS  2 INDEPENDENT SAMPLES  add test
variable & define groups  tick “Mann Whitney”

(look at the p value in the “Asymp. Sig (2-tailed)” row)

Wilcoxon signed-rank test: ANALYZE  NONPOARAMETRIC TESTS  LEGACY DIALOGS  2 RELATED
SAMPLES  add variables  tick “Wilcoxon”

! when reporting the p-value, check whether the test is one-sided & split sig. in half

Chi-square test for independence: ANALYZE  DESCRIPTIVE STATISTICS  CROSSTABS  add one
variable in Rows, one in Columns  STATISTICS…  tick “Chi-square” and “Phi & Cramer’s V”

if you want to see expected frequencies: go to CELLS…  tick “Expected”

Chi-square test for goodness-of-fit: ANALYZE  NONPARAMETRIC TESTS  LEGACY DIALOGS  CHI-
SQUARE  add variables  ok

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