01_Introduction Flashcards

1
Q

What categories are used to evaluate the quality of empirical research?

A
  • Objectivity
  • Reliability
  • Validity
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2
Q

What is Objectivity?

A

The measurements and results of the analysis are independent from researcher
–>Same result, if conducted by someone else

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3
Q

What is reliability?

A

= Absence of measurement errors
–>possible to reproduce results under constant condition
E(e) = 0

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4
Q

Reliability: how to improve reliability and what are ppotential causes of error?

A
  • repeated measuring improves accurarcy (potentially)

Potential causes of error:
- lack of features consistency
- precision of measure

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5
Q

What is validity?

A

A measures measures what it is suppose to measure
Expected systematic error: E(s)= 0

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6
Q

Can repeated measuring improve results if validity is not given?

A

No:
because if validity is not given, that repeated measuring does not improve results

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7
Q

Is reliability a sufficient condition for validity?

A

No:
Reliability is a necessary,, but not sufficient condition for validity

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8
Q

Different forms of validity?

A
  • Validity of statsitical interference:
  • Internal validity
  • Construct validity
  • External validity
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9
Q

What is validity of statistical interference? (example)

A

Validity of statsitical interference: about the correlation (covariance) between treatment and outcome

—> the degree to which inferences and conclusions are meaningful and accurate

Example: if group sizes between control and treatment group differ ->low validity of statistical interfences

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10
Q

What is internal validity?

A

Internal validity: The validity of inferences about whether observed covariation between A (treatment) and B (outcome) reflects a causal relationship from A to B as thos variables were manipulated or measured

Ex: Is the intro of sales traning really the reason for increase in customer satisfaction?

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11
Q

What is Construct validity?

A

Construct validity: THe validity of inferences about the higher order consturcts that represent sampling particulars

Ex: Assesses the extent to which a measure or test truly represents the underlying theoretical construct or concept it is intended to measure

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12
Q

What is external validity?

A

External validity: the validity of inferences about whether the cause-effect relationship holds over variation in persons, settings, treatment variables, and measurement variables

Ex: extent to which the results are generalizable for other circumstances outside the study

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13
Q

Under which assumptions can a Causal relation be inferred?

A

Key element: A change in one variable causes a change in another varible
“If X is a cause of Y, we have in mind that a change in X produces a change in Y and not merely that a change in X is followed by or associated with a change in Y.”

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14
Q

Explanation of variables according ot their causal function?
(Independent, dependent, mediator, moderator)

A

independent variable: causes (x1,x2) (sales training)
dependent variable: efffect (CS)

Mediator: variable z by means of which x influences y –>explains the relationship

Moderator: variable m that effects the strength and direction between x and y –>influences the strength between a relationship (high, low moderator)

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15
Q

What is mediation?

A

Mediation openening the black box and explain the relationship

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16
Q

What is partial mediation?

A

Partial mediation: we have the indirect relationship (CS and WTP) and the direct relationship (CS to Loyal, Profits)

—> so the mediator explains some part of the relationship between the IV and the DV

17
Q

What is full mediation?

A

Full mediation only indirect effect (CS to Mediator to Profits)

—> mediator explains the relationship between the IV and the DV completely, so that the direct effect of IV on DV becomes irrelevant

18
Q

What does the moderator do?

A

Moderator does not open the black box, but establishes boundary conditions
–>High moderator or low moderator level

19
Q

What are the 4 conditions for making causal inferences?

A
  1. Distinct entities: Cause (IV) and effect (DP) need to be distinct
  2. Association: Cause and effect need to covary (No deterministic correlation necessary, just higher liklihood of effect´s appearance)
  3. Temporal precedence: Cause has to occur before the effect (IV measured before DV)
  4. No rival causal explainations: Alternative explaination for the presumed relationship between the cause and the effect have to be ruled out
20
Q

What is Quantitative research?

A

Quantitative research: that emphasizes quantification in the collection and analysis of data

21
Q

What is qualitative research?

A

Qualiatative research: Research strategy that usually emphasizes words rather than quantification in the collection and analysis of data

22
Q

What is the difference between quantitative research and qualiatative research?

A

Quantitative research:

  • Numbers (quantification)
  • Deductive (testing of theory)
  • Realistic
  • Static
  • structured
  • hard, reliable data
  • Focus on behavior

Qualitative research:
- words
- inductive (generation of theory)
- Relativistic
- Process (dynamic)
- unstructured
- Rich, deep data
- Contextual understanding
- focus on meaning