GB891 Unit 7 Collection Log Example

Reviewed by Chester Goodwin, MBA Doctoral Project II: Project Design and Implementation Purdue University Global Free custom sample in 24 to 48h

This GB891 Unit 7 collection log gives a dated row to every pulse draw, feedback sheet, observation session and survey at Corliss Baking's four study plants over twelve weeks. Purdue Global GB 891, Doctoral Project II: Project Design and Implementation, asks DBA candidates who completed the MBA to keep records that let any result be traced to the day it was collected. Twelve columns include crew size and new members, so turnover can be measured from the log. Entries from weeks two, six and nine show routine collection, a supervisor's resignation and a stand-down at a comparison plant caught by the weekly initiative check. Kappa follows Cohen, and fidelity follows Carroll and colleagues.

CourseGB891 Doctoral Project II: Project Design and Implementation
UnitUnit 7
Paper typeCollection log
LengthAbout 880 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMBA
UpdatedOctober 2026

Free sample paper for GB891 Unit 7

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A Dated Row for Everything: A Unit 7 Collection Log for a Twelve-Week Bakery Safety Study

[Student Name]

Purdue University Global

GB891: Doctoral Project II: Project Design and Implementation

Unit 7 Collection Log

[Instructor Name]

[Date]

Corliss Baking Company, its plants and every log entry are composite and illustrative; the methods sources cited are real.

What this part is doingPromising that any result can be traced to a dated row tells the reader what the log is for.
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Why a Log, Not a Folder of Files

A study that collects data from twenty-four crews at four plants every week produces hundreds of separate pieces of evidence. Without a log, the only record of what was collected is the data itself, which cannot show what was attempted and failed, what was collected late or what was collected under unusual conditions. A log records each event at the time it happens, so that later analysis can account for conditions the data do not show. Shadish et al. (2002) stress that threats to validity, such as events occurring during a study, can be assessed only if they are recorded when they occur.

The Columns

Each row records one data collection event, with twelve columns.

Date and time. When the event occurred. Plant and crew code. Where, using crew codes rather than names. Event type. Pulse draw, feedback sheet sent, observation session, survey administration or interview. Collector. The research assistant, observer one or observer two. Planned. Whether the event was scheduled in the protocol. Completed. Yes, partly or no. Count. Answers collected, intervals observed or surveys returned. Language. For pulse draws and surveys, the languages used. Crew size that day. From the shift roster. New members this week. Associates joining the crew since the previous week. Conditions. Anything unusual, such as a line down, a merged crew or a supervisor absent. Deviation link. A reference number if the event departed from the protocol, linking to the deviation report.

What this part is doingIncluding crew size and new members on every row lets turnover, the study's key condition, be measured from the log itself.
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Representative Entries: Week Two

In week two, all 24 crews had pulse draws completed on Wednesday or Thursday. Twenty-two crews provided four answers each; two crews at Calder provided three each because the night shift was short. Feedback sheets for all twelve intervention supervisors were sent by 9:20 a.m. on Monday. Observers completed forty observation sessions across the four plants, two per station per plant, and four joint sessions for agreement checks. One condition was recorded: the Ashford packaging line was down for two hours on Tuesday, so its jam-clearing observation was moved to Wednesday.

What this part is doingRecording even a routine line stoppage shows the log captures conditions as well as counts.
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Representative Entries: Week Six

Week six recorded the first serious departure. On Monday, the night supervisor of one Brierly crew resigned without notice. The crew was covered by a line lead for the rest of the week. The feedback sheet for that crew, already sent, was received by no one in the supervisory role, and the log records it as sent but not received. Pulse draws for the crew continued, since the question concerned the crew's experience of supervision, and the line lead's name was noted in the conditions column without being used in any analysis. A deviation reference links to the full account in the Unit 9 report. Elsewhere that week, collection was complete, and the crew size column showed that six of the twelve intervention crews had at least one new member.

Representative Entries: Week Nine

Week nine recorded a comparison plant event. The new Dunmore manager, who had taken over in week eight, held a one-hour safety stand-down for all Dunmore crews on Thursday, a plant-wide meeting on hand safety prompted by a near miss at a slicer. The weekly check for new safety initiatives, added after the Unit 6 seminar, caught it. The log records the date, the plants affected and the content, and links to the deviation report, because a safety event at a comparison plant could narrow the difference between intervention and comparison crews.

Without the weekly check for new initiatives, the Dunmore stand-down would have looked in the data like nothing at all.

Totals the Log Supports

At the end of twelve weeks, the log supports a set of totals that the implementation chapter reports. Pulse draws were planned at 24 crews for 12 weeks, 288 crew-weeks, with a target of four answers each, 1,152 answers. Feedback sheets were planned for twelve supervisors for twelve weeks, 144 sheets. Observation sessions were planned at two per station per plant per week. Each total can be compared with what was completed, and each shortfall traced to its rows.

Observer Agreement in the Log

Every fourth observation session was conducted jointly, and the log records both observers' interval codes for those sessions. Agreement is calculated weekly by station using the kappa statistic Cohen (1960) introduced. The log flags any station-week with kappa below 0.60, the lower bound of moderate agreement, so that definitions or training can be revisited before disagreement accumulates.

Later Uses of the Log

The log serves three later purposes. It supports the fidelity measures in Unit 8, which follow the elements Carroll et al. (2007) describe, since sheets sent and received, crews reached and sessions completed are all recorded. It supplies the evidence for each departure in the Unit 9 report. And it allows the analysis to account for conditions, such as weeks with a supervisor absent or a stand-down at a comparison plant, that the outcome data alone would not reveal.

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References

Carroll, C., Patterson, M., Wood, S., Booth, A., Rick, J., & Balain, S. (2007). A conceptual framework for implementation fidelity. Implementation Science, 2, Article 40. https://doi.org/10.1186/1748-5908-2-40

Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37-46. https://doi.org/10.1177/001316446002000104

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

GB891 Unit 7 instructions, in plain terms

Unit 7 of GB891 asks you to design and maintain a collection log for your study. Explain why a log is needed beyond the data files, citing the importance of recording events that could affect validity. Define each column, including any that capture conditions central to your question, such as turnover. Show representative entries from several weeks, including at least one routine week and weeks with departures, so the reader sees how irregular events are recorded and linked to a deviation report. Explain the totals the log supports, comparing planned and completed collection. Describe how observer agreement is recorded and flagged. Close with how the log will be used later, for fidelity measures, deviation reporting and analysis. A full log structure with entries from three representative weeks, about seven pages, is a common way to present the sample.

How this GB891 Unit 7 example is built

The log opens by explaining that data files cannot show what was attempted, late or unusual, with Shadish and colleagues on recording threats as they occur. Twelve columns are defined, with a margin note on crew size and new members. Week two shows complete collection and a line stoppage moved by a day. Week six records a night supervisor's resignation, a sheet sent but not received and turnover on six crews. Week nine records the Dunmore stand-down caught by the weekly initiative check, the subject of the highlighted sentence. Planned totals, including 288 crew-weeks and 144 sheets, follow. Joint sessions and weekly kappa flags under Cohen are described, and later uses tie the log to Carroll and colleagues' fidelity elements.

Reading the GB891 Unit 7 grading rubric

Points in the GB891 collection log depend on whether results could be traced through it. Instructors give credit for columns that capture both counts and conditions, especially conditions central to the question. Representative entries are weighted when they include departures as well as routine weeks, showing how irregular events are recorded and linked. Planned and completed totals should be comparable. Recording observer agreement, with a flag for low values, shows ongoing quality control. Explaining how the log feeds fidelity measures, deviation reporting and analysis demonstrates its purpose. Composite entries should be labeled as such. Sources on validity threats and agreement statistics should support the design, and the structure should be clear enough to adopt directly.

GB891 Unit 7 help from the desk

Many GB891 collection logs list what data were collected without recording conditions, so later analysis cannot account for unusual weeks. Others show only routine entries, hiding how departures would be handled. Students often omit columns for the very condition their study examines, such as turnover. Planned totals are rarely stated, so shortfalls cannot be measured. Observer agreement is recorded once rather than throughout. Define columns for counts and conditions, include your study's key condition, show routine and irregular weeks, link departures to the deviation report, state planned totals, track agreement and explain later uses. With fieldwork about to begin, our team can draft the log's columns around your own study.

Get a GB891 Unit 7 example written to your instructions

Share your protocol, the activities your fieldwork involves and the Unit 7 instructions with rubric. Built to those, the custom log template comes back within 24-48h with fixed columns, a same-day entry rule and sample rows bracketed for you to replace with your real entries. The first costs nothing. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

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GB891 Unit 7 questions, answered

Will the sample contain real collection data?

No. The log's entries are yours, because only you know what happened at your site on a given day. The sample shows the columns, rules and kinds of entry a complete log carries, with every row bracketed as a placeholder. Your own entries, made as collection happens, are what the course assesses.

How often should a collection log be updated?

Ideally the same day as each activity. Entries written days later drift toward what should have happened rather than what did. If an entry must be made late, recording both the activity date and the entry date keeps the log honest and shows a reviewer exactly which rows were reconstructed.

What is the difference between a collection log and a deviation register?

The log records every collection event, routine or not, in a fixed format. The register records only departures from the protocol, each with its reason, consequences and any approval needed. Flagged log rows point to register entries, so the log shows that something happened and the register explains it.

Where can I find a free GB891 Unit 7 sample paper?

This page holds a full GB891 Unit 7 collection log structure for a bakery safety study, with twelve columns and entries from three representative weeks.

Why record crew size and new members in every log row?

Turnover is the study's key condition. Recording it with each collection event lets the analysis measure how much crews changed and when, without relying on separate records.