Using the lectures of professor Kleinberg as a guide in combination with the relevant information out of the book from the tenth edition of "Statistics for the Behavioral Sciences", you can be assured that all important information is included.
If you have any questions, you can message me :)
Frequency distribution: Analyze Descriptive Statistics Frequencies, enter variables
FREQUENCIES VARIABLES=…
/ORDER=ANALYSIS
Information about data: Analyze Descriptive Statistics Descriptives Options adding mean,
standard deviation, variance, min, max.
DESCRIPTIVES VARIABLES =
/STATISTICS = MEAN STDDEV VARIANCE MIN MAX.
Histogram: Graphs Legacy Dialogs Histogram, Display Normal Curve, enter variable
GRAPH
/HISTOGRAM(NORMAL)=…
Scatterplot: Graphs Legacy Dialogs Scatter/dot Simple Scatterplot Define, put x-axis and
y-axis.
GRAPH
/SCATTERPLOT(BIVAR)=… WITH …
/MISSING=LISTWISE
Correlation: Analyze Correlate Bivariate, check pearson.
o Correlation significant means that we can conclude with CI certainly that there is a
relationship between the two variables. Also we are allowed to generalize to our finding to
the entire population our sample came from.
CORRELATIONS
/VARIABLES= … …
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Outlier? Delete row or replace with missing value
Two groups: Data Split File Compare groups, enter variable
SORT CASES BY ….
SPLIT FILE LAYERED BY …
Sorting cases: Data Sort Cases enter variable
SORT CASES BY …
Only some cases: Data Select Cases If condition is satisfied click “If..” and specify
COMPUTE filter_$=(…).
VARIABLE LABELS filter_$ 'hours … (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE
Missing variable: Variable View column “Missing” specify discrete missing value recompute
frequency distribution
MISSING VALUES … (99)
EXECUTE.
Variable view
Name = short variable name
Label = longer description of variable
Values = meaning of values
Measure = level of measurement of variable
Percentage = dividing observed frequency by total N.
Valid percentage = dividing observed frequency by respondents with valid score.
Standard error of the mean = how much every sample differs from the mean of the population.
Describing normal distribution = the peak builds up but there is a drop in the middle, the extreme
scores have a low frequency. I would say this is not a normally distribution
Describing linear relation = it seems like there is a positive linear relationship between these two
variables; the lower the … the lower the …, and the higher the … the higher the ...
Clicking on “OK” will do it, clicking on “Paste” opens Syntax Editor
Always a period at the end of the command.
All options and command available: Help Command Syntax Reference. Or selecting command in
Syntax Editor and then clicking on “Syntax Help”
Ending split file: command in Syntax Editor
SPLIT FILE
OFF.
Comments in Syntax Editor to know what you did:
COMMAND BLABLA
* This line is a comment.
One-sample t-test: Analyze Compare Means One-Sample T-test, enter variable
includes:
o N = sample size
o Mean = mean in sample
o Std. Deviation = standard deviation in sample
o Std. Error = standard error
o t = test statistic
o df = degrees of freedom
o Sig. 2-tailed = two-tailed p-value
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