| Course | HLTH 2500 Theories of Health Behavior |
|---|---|
| Week | Week 9 |
| Paper type | Measurement plan |
| Length | About 1,200 words, 7 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | BS in Public Health |
| Updated | October 2026 |
Free sample paper for HLTH 2500 Week 9
Making Self-Efficacy Countable for One Behavior: Items, a 0 to 100 Response Scale, an Observation Window and a Scoring Rule for Lunchtime Walking
Student Name
Walden University
HLTH 2500: Theories of Health Behavior
Instructor Name
Month Day, Year
Making Self-Efficacy Countable for One Behavior: Items, a 0 to 100 Response Scale, an Observation Window and a Scoring Rule for Lunchtime Walking
The Construct and the Behavior
Self-efficacy refers to how capable a person believes they are of performing a specific behavior, including when conditions make it hard (Bandura, 1977). It cannot be observed directly, so it has to be measured through answers to questions. This plan builds a measure of self-efficacy for the Week 4 behavior, a brisk lunchtime walk of ten minutes or more on at least three workdays a week. The setting is a composite county government office building with about 400 employees.
The plan responds to the appraisal completed last week, which found that a widely used five-item exercise scale leaves the behavior undefined and uses general barriers (Marcus et al., 1992). This measure is built for the specified behavior and its own obstacles.
Step 1: Finding the Obstacles
Self-efficacy items should describe the situations that make the behavior hard for the people being measured (Bandura, 2006). Those situations are not known in advance, so the plan begins with a short elicitation step, following the approach used to build questionnaires for the theory of planned behavior (Francis et al., 2004). Twelve employees, chosen to include different departments, ages and job types, will each answer three open questions in a 15-minute interview: What makes it hard to take a walk at lunch here? What makes it easier? On which days would you be least likely to walk? The most frequently named obstacles become the items.
For planning purposes, this paper uses the obstacles most likely to appear, based on the workplace's conditions. The final list would be revised after the interviews.
Step 2: The Items
The stem defines the behavior completely, so every respondent rates the same thing:
"Below are situations that can make it hard to walk during your lunch break. For each one, rate how certain you are that you can take a brisk walk of 10 minutes or more on your lunch break, leaving from this building, three or more workdays a week for the coming month, even when that situation happens."
Each item is phrased in terms of capability, "how certain you are that you can," rather than intention or likelihood, because self-efficacy concerns what a person judges they can do (Bandura, 2006). The items cover several kinds of obstacle, so a worker who feels able to walk in the heat but not when a supervisor expects them nearby will show that pattern in the item scores.
Table 1
Draft Items
| No. | Situation | Type of obstacle | |
|---|---|---|
| 1 | A meeting runs into my lunch break | Time, set by others | |
| 2 | I have a deadline that afternoon | Workload | |
| 3 | It is above 90 degrees outside | Weather | |
| 4 | It is raining | Weather | |
| 5 | I am tired after the morning | Energy | |
| 6 | My coworkers are eating at their desks | Social setting | |
| 7 | I need to run an errand at lunch | Competing use of the break | |
| 8 | I am wearing work shoes that are not made for walking | Equipment | |
| 9 | I missed my walk the day before | Lapse | |
| 10 | My supervisor might need me over lunch | Expectation of availability | |
The list and its order are provisional; the elicitation interviews will set the final items.
Step 3: The Response Scale
Each item is answered on a scale from 0 ("cannot do at all") through 50 ("moderately certain can do") to 100 ("highly certain can do"), in steps of 10. Bandura (2006) recommends this 0 to 100 format because it registers differences in strength that a short scale would miss. One concern is that some respondents may not use eleven points reliably; a study of a five-point exercise self-efficacy scale found that collapsing some categories improved accuracy among women with limited literacy (Mendoza-Vasconez et al., 2018). To test this, the pilot will check whether respondents use the full range or cluster at a few points, and the plan allows collapsing to a 0 to 10 scale if they cluster.
Step 4: The Observation Window
Self-efficacy will be measured at three points: in the week before any program begins, which serves as the baseline; after the fourth week; and after the eighth. Each administration takes about five minutes on paper or online. The baseline is taken before workers receive any information about a walking program, so that answers are not raised by enthusiasm for an announced initiative.
Behavior will be recorded over the same windows: each worker logs qualifying walks daily, and a subset wears step counters to check that logged walks include a continuous 10-minute bout during the lunch period. This allows the self-efficacy score at baseline to be tested against walking over the following four weeks.
Step 5: The Scoring Rule
The self-efficacy score is the mean of the ten item ratings, giving a score from 0 to 100. Items left blank are not imputed; a score is calculated only if at least eight of ten items are answered, and the mean is taken over the answered items. A second, descriptive score counts how many items were rated 70 or above, which shows how many of the obstacles the worker feels able to overcome with reasonable certainty.
Item-level scores are also kept, because the program needs to know which obstacles are hardest. If the meeting item averages 30 while the heat item averages 70, the program should focus on meeting schedules rather than shade.
Step 6: Checking That the Measure Captures the Construct
The final check matters most. If the score correlates more strongly with general confidence than with walking, the measure has drifted toward the everyday sense of confidence rather than the construct the theory defines.
Table 2
Checks Before the Measure Is Used
| Check | Method | Standard | |
|---|---|---|
| Items understood as intended | Think-aloud interviews with 6 workers reading each item | Each item interpreted as the same situation by at least 5 of 6 | |
| Range used | Distribution of answers in pilot of 40 workers | Answers spread across the scale, not concentrated at 2 or 3 points | |
| Internal consistency | Cronbach's alpha in the pilot | At least .70 | |
| Prediction | Correlation of baseline score with walks logged in weeks 1-4 | Positive and statistically significant | |
| Distinctness | Correlation with a one-item general confidence question | Lower than with logged walks | |
The last check tests whether the measure captures self-efficacy for this behavior rather than general confidence.
Limits
The measure is built for one behavior at one workplace. It cannot be compared directly with general exercise self-efficacy scales used in other studies. It relies on self-report, and some workers may rate themselves highly to appear committed. The elicitation sample of twelve may miss obstacles faced by smaller groups, such as workers with disabilities or caregiving duties, which the pilot should check for.
Conclusion
The plan turns self-efficacy for lunchtime walking into a number through four bridges: obstacles found by asking workers, items phrased as capability against those obstacles, a 0 to 100 scale for strength and a rule that averages items into a score while keeping item-level detail. Its validity checks test whether the score reflects the construct the theory names rather than a neighboring idea.
References
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307-337). Information Age Publishing.
Francis, J. J., Eccles, M. P., Johnston, M., Walker, A., Grimshaw, J., Foy, R., Kaner, E. F. S., Smith, L., & Bonetti, D. (2004). Constructing questionnaires based on the theory of planned behaviour: A manual for health services researchers. Centre for Health Services Research, University of Newcastle upon Tyne.
Marcus, B. H., Selby, V. C., Niaura, R. S., & Rossi, J. S. (1992). Self-efficacy and the stages of exercise behavior change. Research Quarterly for Exercise and Sport, 63(1), 60-66. https://doi.org/10.1080/02701367.1992.10607557
Mendoza-Vasconez, A. S., Marquez, B., Benitez, T. J., & Marcus, B. H. (2018). Psychometrics of the self-efficacy for physical activity scale among a Latina women sample. BMC Public Health, 18(1), Article 1097. https://doi.org/10.1186/s12889-018-5998-0
The Walden HLTH 2500 Week 9 instructions
A measurement plan asks you to turn a construct you cannot observe into a score you can trust. Start by defining the construct from its source and the behavior it will be measured for. Explain how you will identify the situations or beliefs your items should cover, ideally by asking people from the population. Write draft items, phrased to match the construct, with a stem that defines the behavior completely. Choose a response scale and justify it. State when the measure will be given, relative to any program, and how behavior will be recorded over the same period. Give an exact scoring rule, including how missing answers are handled. Finally, describe the checks you will run to confirm the measure captures the construct, including one that tests whether it can be told apart from a neighboring idea.
Inside the HLTH 2500 Week 9 example
The plan opens by defining self-efficacy from Bandura and linking it to the previous week's appraisal of Marcus and colleagues' scale. Step 1 describes an elicitation interview with twelve employees, following Francis and colleagues. Step 2 gives the stem and ten draft items in Table 1. Step 3 justifies a 0 to 100 response scale from Bandura's guide and plans a pilot check informed by Mendoza-Vasconez and colleagues. Step 4 sets three measurement points and matching behavior records. Step 5 states the scoring rule. Step 6 lists five checks in Table 2, from think-aloud interviews to a test of distinctness from general confidence. A limits section and conclusion close the plan.
HLTH 2500 Week 9 rubric: what earns full marks
Faculty judge a measurement plan on whether it would actually capture the construct it names. Items should match the construct's definition, including phrasing and coverage of relevant obstacles. Basing items on input from the population earns credit. A justified response scale and a precise scoring rule are expected. Measuring behavior over the same windows shows the student plans to test predictive validity. The checks section is often the most valued, especially a test showing the measure is distinct from a related idea. Faculty also value an honest limits section. Plans that borrow a general scale without adapting it, leave the scoring rule vague or omit any validity checks earn less. Consistency with the behavior specified earlier in the course is checked.
HLTH 2500 Week 9 help from the desk
The quickest way to a weak measure is to write items before you know what makes the behavior hard. Talk to a few people from your population first, or imagine their days in detail, and list the obstacles they would name. Write your stem so it defines the behavior completely. Phrase each item as "how certain are you that you can," not "will you." Decide your scale and scoring rule before collecting data, and write them down exactly. Then ask how you would know if the measure were measuring something else, and plan a check for it. We can help you design a measurement plan for a construct in your project. Before finishing, have a classmate read your items aloud and tell you what situation each one describes; any item they misread needs rewording.
Get a HLTH 2500 Week 9 example written to your instructions
Send the Week 9 prompt, the rubric and the construct your section assigned, and the desk writes the plan with both definitions, the item set, the scoring rule and the threats section, instrument in an appendix. Nothing is charged the first time, delivered in 24-48h. Published instruments are cited rather than reproduced.
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HLTH 2500 Week 9 questions, answered
Where can I find a free HLTH 2500 Week 9 sample paper?
The plan for measuring self-efficacy for lunchtime walking, with item and validity tables, is free to read here.
How are the items in the HLTH 2500 Week 9 example chosen?
From short interviews asking employees what makes a lunchtime walk hard, then written as capability items for each obstacle.
What response scale does the plan use?
A 0 to 100 scale in steps of 10, with a pilot check on whether respondents use its range.
How is the score calculated?
As the mean of answered items when at least eight of ten are answered, with item-level scores kept.
How will the plan check that it measures self-efficacy?
By testing whether the score predicts logged walks more strongly than it correlates with general confidence.