L1-L5 + SPSS Flashcards

1
Q

When is the Shapiro-Wilk value used?

A

When N is below 50

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2
Q

When is the Kolmogorow-Smirnow value used?

A

When N is above 50

If sig > 0.05 = normally distributed

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3
Q

What is nomothetic methods?

A

refer to research approaches that focus on identifying general laws, principles, or patterns that apply broadly across groups, populations, or phenomena

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4
Q

What is ideographic methods?

A

Idiographic methods are research approaches focused on understanding individual cases, unique events, or specific phenomena in depth. Unlike nomothetic methods, which aim to identify general laws or patterns across groups, idiographic methods emphasize the uniqueness of a single subject, situation, or entity.

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5
Q

What do we mean by: “only theory can define y = f(x)”?

A

A theory is needed to understand the causal relationship between x (cause) and y (effect). Data alone cannot tell which direction the relationship goes

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6
Q

What is convenience sampling?

A

is convenience sample too convenient? (choosing participants who are easiest to access, such as colleagues or friends may not represent the larger population. results might reflect the specific traits of the “convenient” group rather than being generalizable.

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7
Q

What is snowballing?

A

starting with a few participants who recommend others, creating a chain of referrals. the sample can become biased if participants refer people who are similar to them (e.g., same social group or opinion).

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8
Q

What is grounded theory?

A

Aka emergent coding.
Generate theory from data.

Inductive + deductive

“What is going on?” “What is the main problem of the participants and how are they trying to solve it?”

Grounded theory is constant comparision (think jelly beans)

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9
Q

What is a random sampling technique?

A

Everyone has an equal chance to be selected which gives a high generalizability

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10
Q

What is a cluster sampling technique?

A

Dividing a population into clusters - then random selection

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11
Q

What is stratified sampling technique?

A

Divide the population into specific homogeneous groups (strata) and then random selection

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12
Q

What is convenience sampling?

A

Subjects selected by accessability and convenience

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13
Q

What is purposeful sampling techniques?

A

Subjects selected because they are information-rich

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14
Q

When is the Shapiro-Wilk Value and Kolmogorow Smirnov value used?

A

The Shapiro-Wilk and Kolmogorov-Smirnov tests are both used to assess whether a dataset follows a normal distribution.

Sig should be above 0.05

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15
Q

What is correlation?

A

The degree to which two variables are linerarly related

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16
Q

What is a t-test?

A

A statistic that checks if two means are reliably different from each other. And if there is a significant difference between two groups of data. First, you set up a hypothesis. Ex:

H1: Men are more confident with a climb than women.

H0: There is no difference between men and women with regard to their confidence in climbing.

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17
Q

What is the independent t-test?

A

Aka two samples t-test
When you test if two independent variables average means are statistically different from each other or not.

Either you use an independent or dependent T-test depending if the groups we are investigating are related to each other or not.

An independent T-test is an inferential statistical test that determines whether there is a statistically difference between the means in two unrelated groups, like men and women.

Rule of thumb when you have dummy variables like gender: always code them as 0 and 1. It helps with the math.

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18
Q

When is Levenes test used?

A

Levenes test is an assumption of the test: the two groups should have equal variances. If you have 80 men and 20 women then the variance would not be equal. Levene’s test is commonly used before conducting an independent t-test to check if the assumption of equal variances between the two groups is met.

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19
Q

What is the rule of thumb for t-test?

A

The rule of thumb for T-test is that if there if t is less than +-2 then its probably not significant.

20
Q

What is the dependent t-test?

A

aka paired t-test. Compares the means of two related groups to determine whether there is a statistically significant difference between the means.

21
Q

What is factor analysis (EFA) used for?

A

Factor analysis can be used to assess the validity of your variables and reliability.

Exploratory factor analysis is a way to establish construct validity.

22
Q

Is EFA subjective or objective?

A

Subjective.

23
Q

What is a latent construct?

A

That is something that is not directly observable.

24
Q

What happens in an OLS regression if you keep adding more independent variables?

A

R square go up

25
Q

What does the significance, or p-value, tell us?

A

tells us whether the relationship between variables (X and Y) is real or just happened by chance. If it is below the classical standard value of 0.05 it means that the statistic is significant. Means that the r squared is significantly different from 0. Meaning it is a good regression model. The entire model is being assessed. If you which so see the variables in separate look at the coefficient table.

26
Q

What is the unstandardized beta coefficient?

A

How much the dependent variable (Y) changes for every one-unit change in the independent variable (X).

27
Q

What is the standardized beta coefficient?

A

It shows the relative effect of the variables on the dependent variable.

28
Q

What is multicollinearity?

A

Between the independent variables. Best case scenario is when there is no correlation between the independent variables. If they become too close you cannot separate the variance between the two variables. When it becomes a problem its called multicollinearity. The standard cutoff is 0.9. The value should be below that.

29
Q

What is the rule of thumb for multicollinearity?

A

< 0.9

30
Q

What is the rule of thumb for VIF?

A

< 10

31
Q

Rule of thumb for T test

A

Value less than 2 is not significant

32
Q

Sample size total recommended?

A

100 observations

33
Q

Rule of thumb Eigenvalue?

A

Total should be above 1. If below 1, ignore the factor

34
Q

Rule of Thumb: Significance when testing Normality:

A

> 0.05 is normal

35
Q

What does the unstandardized beta explain?

A

How much the change in Y is for a one-unit change in X, holding other variables constant.

So if Unstandardized Beta for X1 is 2, a one-unit increase in X1 will result in a 2-unit increase in Y.

36
Q

What information do you get from the standardized beta coefficient?

A

The relative size effect of each independent variable on the dependent variable.

37
Q

What is R Squared?

A

Measure of the proposition of the variance in Y explained by X.

38
Q

What is the residual variance?

A

How much of the variability in X CANNOT be explained by X.

The lower the better.

39
Q

What happens to R Square when adding more independent variables?

A

Always increases or stays the same when you add more independent variables.
It is not sensitive to whether the new variables actually contribute significantly to the model. Even irrelevant variables can make R² increase, as it only measures how much of the variation in the dependent variable is explained by the independent variables.

R² is easier to understand but can be misleading.

40
Q

What happens to the Adjusted R Square when adding more independent variables?

A

Can decrease if the new independent variables do not significantly contribute to explaining the variation.
Adjusted R² accounts for both the number of variables in the model and their actual contribution. If a new variable does not improve the model enough (relative to its cost in degrees of freedom), Adjusted R² decreases.

Adjusts for the number of variables and penalizes the model if it becomes more complex without improving its explanatory power. Adjusted R² is more reliable for determining whether a new variable truly improves the model.

41
Q

What is abductive research?

A

From observations to hypothesis and most likely theory. Its like being a detective who sees something strange or suprising and tries to come up with the best explanation for it.

42
Q

What is standardized beta?

A

The relative ökning

43
Q

The unstandardized beta constant indicates the…

A

Y-intercept of the regression line

44
Q

What is unstandardized vs standardized beta?

A

Unstandardized Beta:
Use when you need to interpret the coefficients in the context of their real-world units.
Example: “How much does income (in dollars) increase with one more year of education?”

Standardized Beta:
Use when comparing the relative importance of predictors within the same model.
Example: “Which is more important for income: education or work experience?”

45
Q

What is the residual variance?

A

It is the variance not explained by the regression coefficients (error term u)

46
Q

What is the difference between sampling frame and list?

A

Sampling Frame: The broader source or database representing the population.

Sampling List: The refined, usable subset derived from the sampling frame for the sampling process.

47
Q

What is self selection bias?

A

When choosing to participate in the event because you are interested