Inputs through long-term outcomes for a composite WIC-based voucher and quitline program, with assumptions, external factors and four SMART objectives, form this NU465 Unit 6 logic model. Searches like "nu 465 unit 6 assignment example", "nu465 unit 6 sample" and "nu465 unit 6 example" land here.
What a finished NU465 Unit 6 program logic model looks like
One page carries the model and two more carry its narrative and objectives. Six columns run left to right: inputs (a WIC nurse at [0.5] FTE, carbon monoxide monitors, a voucher fund of [$42,000], the state quitline's referral portal), activities (screening at every WIC and prenatal contact, electronic referral, monthly CO checks, voucher issue), outputs (women screened, referred, tested, paid), and short, intermediate and long-term outcomes, ending with the county's smoking-in-pregnancy rate and low birth weight. Two boxes along the bottom hold assumptions, such as monitors calibrated monthly, and external factors, among them a state cigarette tax vote. Under the page, four objectives follow the SMART pattern, each naming its baseline, target, date and data source, and a short narrative explains how the columns connect.
How a NU465 Unit 6 example is structured
Reading order runs right to left before left to right: the long-term outcome is fixed first, from the Unit 4 gap, and every box to its left must earn its place by leading there. The narrative walks one chain in full, from a monitor to a voucher to a verified quit at 36 weeks to a birth certificate reporting no smoking in the third trimester, so each if-then link can be tested. Outputs and outcomes are kept apart deliberately; women referred is something the program does, and women abstinent is something that happens to them. The assumptions box states what would break the model, including voucher amounts too small to compete with dependence. Household smokers, flagged in Unit 5, appear as an external factor with a proposed future component. Objectives close the paper, one per outcome tier, each with a named data source.
The outcome fixed first
Cordell's rate, [17.7] percent against the state's [7.9], sets the far right column, and the narrative explains that every input and activity was chosen by working backward from that one number.
One chain followed through
Monitor, voucher, verified quit at 36 weeks, a certificate with the third-trimester item reading zero: the narrative traces this single path so each arrow can be checked as a claim.
Doing versus changing
Outputs count women screened, referred, tested and paid; outcomes count women abstinent and births affected. The model keeps them in separate columns because rubrics often catch papers reporting activity as effect.
Assumptions that could fail
Monthly calibration of monitors, voucher values large enough to matter, and quitline capacity for pregnant callers are listed as conditions, with a line on what the program would do if each one broke.
Four objectives, four sources
By month [six], [85] percent of pregnant WIC enrollees screened; by month [twelve], [60] percent of identified smokers referred; by month [eighteen], [25] percent verified abstinent at 36 weeks; and a county rate target timed to certificate data release.
Where marks go in NU465 Unit 6
Internal consistency outranks appearance when a logic model is marked. A handsome diagram whose outcomes do not follow from its activities, or whose outputs are phrased as outcomes, tends to score below a plain one whose arrows hold. Credit goes to inputs specific enough to cost, activities with a stated frequency, outcomes staged by time, and a long-term outcome that matches the problem statement word for word. Assumptions and external factors earn marks when they name something that could actually go wrong rather than generic items such as funding. SMART objectives are checked one at a time: a starting value, an end value, a month and the record it comes from are all required, and targets set without a baseline are frequently returned for revision. The narrative must agree with the diagram in every figure.
Get a NU465 Unit 6 example written to your instructions
Logic model templates differ between sections; some use the Kellogg layout, others a simpler four-column form. Attach your course's own template and grading rubric, name the program you are building, and a finished example drawn on that template comes back in 24-48h. There is no fee for the first sample.
NU465 Unit 6 questions, answered
What is the difference between an output and an outcome?
An output tallies what the program does or delivers: women screened, referrals sent, vouchers issued. An outcome is a change that happens to people or to the population: women abstinent, births without smoking. Many models blur them, and markers notice. One check helps: if the item could be counted while no woman smoked a single cigarette less, it belongs in the output column.
How far into the future should long-term outcomes reach?
Far enough to connect to the problem, but no further than the data can follow. The sample ends at the county's smoking-in-pregnancy rate and low birth weight, both measurable from certificates within a few years. Outcomes such as childhood asthma may be real but sit beyond what the program could credibly claim or measure.
Does the program in the sample exist?
No. Clean Air Cordell is composite, as are the county, the budget and the staffing, though the intervention types and sources it draws on are real. A logic model for your course should describe your own chosen program, with inputs priced from real local information where your instructions ask for it.