influencer_data {seminr}

Measurement Instrument for the Influencer Model

Description

The data set is used as measurement instrument for the Influencer Model which is used in Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R - A Workbook (2021) Hair, J.F. (Jr), Hult, T.M., Ringle, C.M., Sarstedt, M., Danks, N.P., and Ray, S.

Usage

influencer_data

Format

A data frame with 250 rows and 24 variables:

sic_1

The influencer reflects who I am.

sic_2

I can identify with the influencer.

sic_3

I feel a personal connection to the influencer.

sic_4

I (can) use the influencer to communicate who I am to other people.

sic_5

I think the influencer (could) help(s) me become the type of person I want to be.

sic_6

I consider the influencer to be "me".

sic_7

The influencer suits me well.

sic_global

My personality and the personality of the influencer relate accordingly to one another.

pq_1

The product has excellent quality.

pq_2

The product looks to be reliable and durable.

pq_3

The product will have fewer problems.

pq_4

The product has excellent quality features.

pl_1

I dislike the product (reverse coded).

pl_2

The product is appealing to me.

pl_3

The presented product raises a positive feeling in me.

pl_4

The product is interesting to me.

pi_1

It is very likely that I will purchase this product.

pi_2

I will purchase this product the next time I need it.

pi_3

I would definitely try the product out.

pi_4

I would recommend this product to my friends.

pi_5

I am willing to purchase this product.

pic_1

The influencer is qualified.

pic_2

The influencer is competent.

pic_3

The influencer is an expert.

pic_4

The influencer is experienced.

pic_5

The influencer is knowledgeable.

wtp

Please state your willingness to pay (in Euro) for the presented product.

influencer_group

A binary variable indicating which group the influencer belongs to.

Details

The data frame influencer_data contains the observed data for the model specified in the Influencer Model.

Examples

data("influencer_data")