Table 1.
Ten Slide Structure for Outlining the Writing Process
| Slide # | Content | Initial Outline | Final Presentation |
|---|---|---|---|
| 1 | Question | Key question in text form | Key question in text form |
| 2 | Background | Bullet points related to (a) alleviation of suffering and (b) novel contribution | Add literature citations to support bullet points |
| 3 | Methods I – Implementation | Bullet points on setting, sample recruitment, and instruments | Add psychometric properties of instruments; Add research site map |
| 4 | Methods II – Analyses | Describe plan for analysis: statistical analysis (quantitative) or coding plan for and analytic approach (qualitative) | Describe final analyses conducted (quantitative) or coding tree development and inter-rater reliability (qualitative) |
| 5 | Sample demographics | For both quantitative and qualitative papers, provide a table of initial sample demographics, including language of engagement | Simplify table including only key variables used in subsequent analyses, retain language of engagement |
| 6 | Univariate results (quantitative paper) or Major themes (qualitative paper) | Proposed univariate tests: independent and dependent variables, test type (quantitative); Proposed themes for coding process (qualitative) | Final univariate analyses (quantitative); final themes (qualitative) |
| 7 | Multivariable results | Proposed multivariable tests: independent and dependent variables, (quantitative paper) or Codes (qualitative paper) | Final multivariate analyses (quantitative); final codes test type (quantitative); Proposed codes for each theme (qualitative) (qualitative) |
| 8 | Text summary of main findings | Three bullet points of expected main findings | Three bullet points of final findings after analyses |
| 9 | Implications | Proposed theoretical implications; proposed public health implications; proposed clinical implications | Final theoretical implications; final public health implications; final clinical implications |
| 10 | Limitations | Known limitations of study design, implementation, and data quality | Impact of known limitations on interpreting findings; suggestions for addressing limitations in future studies |