Nothing
context("SEMinR correctly identifies the model syntax errors\n")
## misspelt construct in mm
set.seed(123)
mobi_mm <- constructs(
composite("Imag", multi_items("IMAG", 1:5), weights = mode_A),
composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A),
composite("Value", multi_items("PERV", 1:2), weights = mode_A),
composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A)
)
mobi_sm <- relationships(
paths(to = "Satisfaction",
from = c("Image", "Expectation", "Value"))
)
expect_error(assess_model_specification(mobi_mm,
mobi_sm,
mobi),
regexp = "names of your constructs")
## misspelt construct in sm
mobi_mm <- constructs(
composite("Image", multi_items("IMAG", 1:5), weights = mode_A),
composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A),
composite("Value", multi_items("PERV", 1:2), weights = mode_A),
composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A)
)
mobi_sm <- relationships(
paths(to = "Satisfaction",
from = c("Image", "Expectatin", "Value"))
)
expect_error(assess_model_specification(mobi_mm,
mobi_sm,
mobi),
regexp = "names of your constructs")
## missing construct in interaction
mobi_mm <- constructs(
composite("Image", multi_items("IMAG", 1:5), weights = mode_A),
composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A),
composite("Quality", multi_items("PERQ", 1:3)),
composite("Value", multi_items("PERV", 1:2), weights = mode_A),
composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A),
interaction_term("Image", "Expectation")
)
mobi_sm <- relationships(
paths(to = c("Quality"),
from = c("Image","Expectation", "Image*Expectation","Value")),
paths(to = c("Satisfaction"),
from = c("Image","Image*Expectation","Value"))
)
expect_error(assess_model_specification(measurement_model = mobi_mm,
structural_model = mobi_sm,
mobi),
"IV and MV")
mobi_sm <- relationships(
paths(to = "Satisfaction",
from = c("Image", "Expectation", "Value"))
)
mobi_mm <- constructs(
composite("Image", multi_items("IMAG", 1:6), weights = mode_A),
composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A),
composite("Value", multi_items("PERV", 1:2), weights = mode_A),
composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A)
)
expect_error(assess_model_specification(mobi_mm,
mobi_sm,
mobi),
regexp = "colnames")
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