SPSS & Excel Flashcards

1
Q

What do you need to do to compute a variable?

A

This means making a new variable, for example trust in internet, from different survey measures.

Go to compute variable, select all, mean, add each variable associated.

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2
Q

How do you run a one sample t test?

A

With a T test, you are comparing data to something already know/ data given. For example, your sample weight to the population average.

From T test, add the value you already know, are comparing the data to, in “test value.”

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3
Q

How do you identify outliers from z scores?

A

Analyse - Descriptive Statistics - Descriptives

Those with scores +/- 3 are outliers.

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4
Q

How do you filter out outliers?

A

Scores +/- 3 are outliers.

Data – Select Cases – If condition satisfied …

All, Abs, (zage..) =<3 (add what you want to include, anything lower than 3)

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5
Q

How do you report the results on a one sample t test?

A

You add mean, standard dev. Then,

“… is significantly/not significantly different from (add test value) (t=xxx, sig). We reject/accept null”

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6
Q

What are you doing in an independent samples t test?

A

Comparing two variables, like the height of males vs height of females.

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7
Q

How do you read if the results are significant or not?

A

Look at the p value associated with Sig. 2 tailed column. If it is less than .05, then there is evidence that there is a statistically significant difference. You reject the null hypothesis.

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8
Q

How do you run ANOVA?

A

Analyse, compare means, one way ANOVA.

The factor is the group/treatment.

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9
Q

What do you report for ANOVA?

A

The degrees of freedom, the F score and significance level.

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10
Q

What is an easy way to check assumptions in SPSS?

A

Explore.

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11
Q

How do you read colinearity statistics? VIF and Tolerance?

A

VIF should be less than 3 and Tolerance greater than .2

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12
Q

How do you set up the blocks for the hierarchal regression?

A
  1. Demographic variables
  2. Variables that have already been studies
  3. The variables you are most interested in
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13
Q

How do you tell if something is reliable?

A

With Cronbach’s alpha: .70 and above is reliable. Based on sample size.

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