Program Logic is a tabular display (road map) of the relationship 

A Program Logic is a tabular display (road map) of the relationship between your program’s activities and its intended effects. It generally follows a logical sequence of ’if-then’ relationships as follows:

Program Logic is a tabular display (road map) of the relationship

A Program Logic is a tabular display (road map) of the relationship between your program’s activities and its intended effects. It generally follows a logical sequence of ’if-then’ relationships as follows:
Firstly, Inputs

Secondly, activities.

Thirdly, outputs.

Fourthly, short-term outcomes.

Also, intermediate outcomes.

Lastly, long-term outcomes.

For most parts of the program logic (mainly the outputs and outcomes), there are a set of indicators. Indicators are a marker of accomplishment/progress. It is a specific, observable, and measurable accomplishment or change that shows the progress made toward achieving a specific output or outcome in your program logic.

Additionally, Using the case study below, your task is to develop three outputs and one indicator for each output, considering the means of verification and assumptions for your indicators through completing the table below.

To reduce the number of vaccine-preventable deaths in NSW, the state government has invested funds towards increasing the state’s immunisation rate to 98%, with targeted programs in the Northern Eastern suburbs of Sydney that have the lowest rate of full-immunised five-year-olds (below 90%).

Indicators (measure to verify to what extent the goal is fulfilled – include targets and baseline data where possible).

Means of Verification n(data sources of information for measuring performance – what research methods will be used, frequency of data collection e.g. every six months, annually).

Assumptions s(important events, conditions, decisions out.

Goal: Reduce the number of vaccine-preventable deaths in NSW.

Objective: Increase the rate of fully vaccinated children five-years and under to 98% in NSW by 2025.

Firstly, Output 1:

Secondly, Output 2:

Thirdly, Output 3:

Assessment criteria

Firstly, Indicator has specific unit of measurement (verifiable).
Secondly, Specific timeframe for which it will be monitored – Reference to a baseline or benchmark for comparison.
Thirdly, Target group/location specified.
Fourthly, Measurement methods and data collection frequency specified – Evidence of critical evaluation of assumptions.

Marking Criteria:

Criteria High Distinction Distinction Credit Pass Unsatisfactory Unit of measurement (10%)
Timeframe (10%) Specific timeframe for which it will be monitored is provided, and is accurate and highly appropriate
Baseline for comparison (15%) A baseline or benchmark reference for comparison is provided and highly appropriate
Target (15%) Target group/location is specified and highly appropriate Target group/location is specified and sufficiently appropriate T Critical evaluation (30%) Evidence of critical evaluation of assumptions is provided and are highly appropriate

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