Business Research Techniques
Overview all definitions/theories/aspects
&
Summary Reliability and Validity
Overview of all definitions/theories/aspects
Module 1:
Confirmation bias (+ Black Swan Theory)
Availability bias
What-You-See-Is-All-There-Is bias (WYSIATI)
Inductive research approach
Deductive research approach
7-steps of business research
Module 2:
Academic (research) relevance
Managerial (research) relevance
Problem statement
Unit of analyses
Variables vs. constants
Relationship
Moderating effect
Research questions
Conceptual model
Dependent variable
Independent variable
Moderating variable
Mediating variable
Control variable
Research hypothesis (directional versus non-directional)
Module 3:
Cross-sectional (survey)
Longitudinal (survey)
Measured variables (experimental)
Manipulated variables (experimental)
Secondary data (archival)
Correlation research strategies
Causal research strategies
Module 4:
Rows in a dataset
Columns in a dataset
Identifier variable
, Dummy variable
Match between variables and the unit of analysis
Population
Sampling frame
Sampling design
Sample size 👍 (rule of thumb, described In Grasple)
Measurement (operationalization)
Measurement instruments
Nominal
Ordinal
Interval
Ratio
5- and 7-point scales
Pearson’s r
T-test
One Way ANOVA
Chi-square
Linear regression test
Logit analysis
Module 5:
Reliability
Validity
Construct validity
Test-retest reliability
Inter-rater reliability
Internal consistency
Cronbach’s alpha
Assessing Cronbach’s alpha 👍
Reverse code Cronbach’s alpha
Item-total correlations 👍
Interpretation of Cronbach’s alpha and item-total correlation 👍
Scale construction
Precedence
Internal validity
Confounding
Control group
External validity
External vs. internal validity
Module 6:
Surveys vs. polls
Descriptive research
Explanatory research
Open-ended vs. closes-ended questions
Comparative/ranking scale (paired comparison, rank ordering & constant sum)
Overview all definitions/theories/aspects
&
Summary Reliability and Validity
Overview of all definitions/theories/aspects
Module 1:
Confirmation bias (+ Black Swan Theory)
Availability bias
What-You-See-Is-All-There-Is bias (WYSIATI)
Inductive research approach
Deductive research approach
7-steps of business research
Module 2:
Academic (research) relevance
Managerial (research) relevance
Problem statement
Unit of analyses
Variables vs. constants
Relationship
Moderating effect
Research questions
Conceptual model
Dependent variable
Independent variable
Moderating variable
Mediating variable
Control variable
Research hypothesis (directional versus non-directional)
Module 3:
Cross-sectional (survey)
Longitudinal (survey)
Measured variables (experimental)
Manipulated variables (experimental)
Secondary data (archival)
Correlation research strategies
Causal research strategies
Module 4:
Rows in a dataset
Columns in a dataset
Identifier variable
, Dummy variable
Match between variables and the unit of analysis
Population
Sampling frame
Sampling design
Sample size 👍 (rule of thumb, described In Grasple)
Measurement (operationalization)
Measurement instruments
Nominal
Ordinal
Interval
Ratio
5- and 7-point scales
Pearson’s r
T-test
One Way ANOVA
Chi-square
Linear regression test
Logit analysis
Module 5:
Reliability
Validity
Construct validity
Test-retest reliability
Inter-rater reliability
Internal consistency
Cronbach’s alpha
Assessing Cronbach’s alpha 👍
Reverse code Cronbach’s alpha
Item-total correlations 👍
Interpretation of Cronbach’s alpha and item-total correlation 👍
Scale construction
Precedence
Internal validity
Confounding
Control group
External validity
External vs. internal validity
Module 6:
Surveys vs. polls
Descriptive research
Explanatory research
Open-ended vs. closes-ended questions
Comparative/ranking scale (paired comparison, rank ordering & constant sum)
