Management Research Methods 2: WHAT TO TEST WHEN

OV TYPE PV TYPE WHAT HYPOTHESIS TEST
Quantitative Single: Are there H1: There’s a difference in the One-way
(numerical) Categorical differences OV for different PV categories Anova
between PV
categories?
Quantitative Multiple: Are there H1: There is a difference in the Two-way
(numerical) Categorical differences OV for different PV groups Anova
between PV
groups, H2: There is difference in the (Factorial
categories? OV between categories of PV1 Anova)

Is there a H3: There is difference in the
moderating OV between categories of PV2
effect?
H4: there is an Interaction Effect
between PVs

Quantitative Multiple: What is the H1: PV1 affects the OV Regression:
(numerical) Categorical effect size of significantly
and PVs on OV? use Unstd.
Quantitative H2: PV2 affects the OV B for effect
significantly size each PV

use Std. B to
compare the
effects of
different PVs

Quantitative Multiple: What is the H1: PV1 affects the OV Regression
(numerical) Categorical effect of PV significantly with dummy
and on OV with variables
Quantitative nuance? H2a: There is a difference in the
OV between category 1 of PV1 use Unstd.
Dummy and category 2 of PV1 B for effect
variable size each PV
creation H2b: There is a difference in the
OV between category 2 of PV1 use Std. B to
and category 3 of PV1 compare the
effects of
different PVs

Categorical Multiple: What is the H1: PV affects odds of “yes” Logistic
binary Categorical effect of PV outcome beyond the “50-50” Regression
and on OV in prediction
Quantitative terms of Beta values
odds of “yes/ H2: There is difference in the show effect
no” odds of “yes” outcome between direction
outcome? dummy 1 and ref (positive or
negative)
use “no” H3: There is difference in the
outcome as odds of “yes” outcome between EXP(B)
a reference dummy 2 and ref interprets the
odds