送出前 P0 寫判準(我會接受什麼答案) ← 第 3 課
P1 記下摘要裡的關鍵數字(n、mean、遺漏)
收到後 V1 路徑核對(Guider):每條 Analyses ▸ … 在選單點得到?逐條打勾
V2 數字核對:回覆引用的數字 = P1 記下的?
V3 範圍核對:回覆有沒有宣稱它「看不到」的事(常態性、離群值、原始列)?有 → 標「越界」
V4 程式碼核對(R tutor):
4a 讀:只用 data?library() 都在 rj_environment?無 setwd/路徑/system?
4b 跑:貼進 Rj,記錄輸出或錯誤原文
4c 對:同一分析在 jamovi GUI 跑一次,關鍵數字一致?(Syntax Mode 的 jmv:: 呼叫可作第二對照)
V5 交叉:換 persona 或換模型再問一次,結論一致?路徑仍須各自核對
結案 C1 對照 P0 判準:solved / reopen
C2 填協作日誌(問題|判準|回覆摘要|查核結果)
Before sending P0 Write your criteria (what answer you will accept) <- Lesson 3
P1 Note the key numbers in the summary (n, mean, missing)
After receiving V1 Path check (Guider): can every Analyses ▸ … path be clicked in the menu?
Tick each one
V2 Number check: do the numbers the reply cites match what you noted in P1?
V3 Scope check: does the reply claim things it cannot see (normality, outliers, raw rows)?
If so, flag it as overreaching
V4 Code check (R tutor):
4a Read: uses only data? every library() is in rj_environment? no setwd, file paths, or system?
4b Run: paste it into Rj and record the output or the exact error
4c Cross-check: run the same analysis in the jamovi GUI; do the key numbers match?
(the jmv:: call from Syntax Mode can serve as a second reference)
V5 Cross-check: ask again with another persona or model; do the conclusions agree?
Check each reply's paths separately
Closing C1 Compare with the P0 criteria: solved / reopen
C2 Fill in the collaboration log (question | criteria | reply summary | verification result)