Practical 1

Question 1

2 types: QUANTITATIVE RESEARCH:
Type 1: [.] Research
Type 2: [.] Research

Answer 1

2 types: QUANTITATIVE RESEARCH:
Type 1: Deductive Research
Type 2: Inductive Research

Question 2

Type 1: Deductive Research:

1) Start from [.] (i.e. previous studies - [.])
2) [./.]:
- [.] of t’ relationship: [.] or [.]?
- [.]: do the independent variables have a strong & note-worthy impact on dependent variable?
3) Test t’ hypotheses
- Agree/ Disagree?

Answer 2

Type 1: Deductive Research:

1) Start from Theory (i.e. previous studies - Literature)
2) Hypothesis/ Hypotheses:
- direction of t’ relationship: +ve or -ve?
- significance: do the independent variables have a strong & note-worthy impact on dependent variable?
3) Test t’ hypotheses
- Agree or disagree?

Question 3

Type 2: Inductive Research (Grounded Theory)

1) Collect [.]
2) [.]
3) Come up with a [.]

Answer 3

Type 2: Inductive Research (Grounded Theory)

1) Collect Data
2) Observe
3) Come up with a Theory

Question 4

Model Specifications:
[.] Variable = [.] variable(s) + [.] variable(s)
- No of [.] = No of Independent variables
- Control variables:
+ not have any [.]
+ not part of t’ study
+ help avoid possible ?

Answer 4

Model Specifications:
Dependent Variable = Independent variable(s) + Control variable(s)
- No of hypotheses = No of Independent variables
- Control variables:
+ not have any hypotheses
+ not part of t’ study
+ help avoid possible bias

Question 5

Skewness & Kurtosis: measure of distribution:
Data is normally distributed if:
? < skewness < ?
AND ? < Kurtosis < ?

Answer 5

Skewness & Kurtosis: measure of distribution:
Data is normally distributed if:
-0.96 < skewness < 0.96
AND -3 < Kurtosis < 3

Question 6

If data is normally distributed, use ? tests.

If not, use ? tests.

Answer 6

If data is normally distributed, use PARAMETRIC tests.

If not, use NON-PARAMETRIC tests.