When Independent Variable is Ordinal

When the independent variable is ordinal, use the same MOAs as you would if the independent variable were nominal - except look for a trend rather than simply a difference. For example, assume we were examining the relationship between childhood blood lead level and whether the child is diagnosed with a "learning disability", and we collected some data. However, before we dig into the data analysis, you might want to watch a couple of videos to understand some basic information on lead poisoning in childhood (Note you can select full screen if you want):

lEAD-poisoning.jpg

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We get the following data (some columns were omitted to save space).

Table 3. Rates, Rate Ratio, and Attributable Risk for learning disabilities in children, by blood lead level.

Blood Lead

 

Number of Children

Number of Children w/ Learning Disability

Rate of Learning Disability

 

Rate Ratio (RR)

Attributable Risk (AR)

Attributable Proportion (AP)

Above 20 ug/dL

127

16

12.6%[1]

5.8[4]

 

10.4%[6]

 

82.5%[8]

10-20 ug/dL

267

14

5.2%[2]

2.4[5]

 

3.0%[7]

 

57.7%[9]

Below 10 ug/dL

183

4

2.2%[3]

 

 

 

Note the group of blood lead level below 10 ug/dL is used as the reference group.

[1] 16/127 = 0.126 = 12.6%

[2] 14/267 = 0.052 = 5.2%

[3] 4/183 = 0.022 = 2.2%

[4] 5.8 = 12.6%/2.2%;

Interpretation:  The risk of learning disability among children with blood lead level of above 20 ug/dl is 5.8 times as great as the risk among children with blood lead level below 10 ug/dl.

[5] 2.4 = 5.2%/2.2%;

Interpretation:The risk of learning disability among children with blood lead level of 10-20 ug/dl is 2.4 times as great as the risk among children with blood lead level below 10 ug/dl.

[6] 10.4% = 12.6%-2.2%;

Interpretation:  In children with blood level of above 20 ug/dl, the amount of learning disability risk that is attributable (caused by) their lead blood level is 10.5%; or Blood lead level of 20 ug/dl seems to increase a child's learning disability risk by 10.5%.

[7] 3.0%=5.2%-2.2%;

Interpretation: In children with blood level of 10-20 ug/dl, the amount of learning disability risk that is attributable (caused by) their lead blood level is 3.0%; or Blood lead level of 10-20 ug/dl seems to increase a child's learning disability risk by 3.0%.

[8] 82.5% = 10.4%/12.6%

Interpretation: 82.5% of learning disability risk in children with lead blood level of above 20 ug/dl appears to be due to their lead blood level; or if these children's lead blood level were reduced to below 10 ug/dl, their learning disability risk would be 82.5% less.

[9] 57.7% = 3.0%/5.2%

Interpretation: 57.7% of learning disability risk in children with lead blood level of 10-20 ug/dl appears to be due to their lead blood level; or if these children's lead blood level were reduced to below 10 ug/dl, their learning disability risk would be 57.7% less.

Note that we use the same MOAs we would if blood lead level had been nominal - rates, RR, and AR. However, because blood lead level is ordinal, we are looking primarily for a trend in these values. In this case, a trend is obvious. As blood lead level goes up, so does the rate of learning disabilities (and RR and AR and AP). This is strong evidence of a link between these two variables.

Have I Grasped the Key Concepts Here?

A study was conducted to examine the relationship between childhood lead blood level and whether a child has a learning disability or not. Results were summarized in the table below (Note the group of blood lead level below 10 ug/dL is used as the reference group here).

lead-learning-disability.png

Based on the above table, answer the following questions: