Descriptive Statistics Writer
Turns your descriptive stats into a Table 1
Description
Converts the user's descriptive statistics outputs (mean±SD or median(IQR), n(%)) into an academic "Participant Characteristics" paragraph ready to drop into a manuscript, plus a Table 1 formatted table. Selects the correct descriptive statistic (mean±SD vs. median(IQR)) based on normality status and never mixes the two up. Who it's for: graduate students and academics running quantitative research who want to write the manuscript's "Participants" section quickly and correctly.
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Cronbach Alpha Reliability Writer
Converts the reliability statistics you enter (Cronbach alpha, item count, subscales) into an academic "Reliability Analysis" paragraph ready to drop straight into your manuscript. Provides an acceptability table by subscale and, if it detects a low alpha (<.60), states this openly rather than hiding it. Suitable for: graduate students and researchers using scales who want to write the method section quickly and correctly.
Group Comparison Test Writer
Produces an APA 7-compliant, manuscript-ready Results text from your t-test, ANOVA, or Chi-square test outputs. Uses correct statistical reporting format (t(df)=..., p=..., d=...) and interprets effect size against Cohen's benchmarks. Reminds you to state a multiple comparison correction method when three or more groups are compared. Who it's for: researchers and graduate students running experimental or comparative studies.
Missing Data Reporting Assistant
When you enter your sample size, missing data proportion/pattern (MCAR/MAR/MNAR), missing data method (listwise deletion, multiple imputation, etc.), and outlier detection method (Z-score, IQR, Mahalanobis), it produces an academic paragraph that can be inserted directly into the "Data Pre-processing" section of your manuscript. If there is a methodological contradiction between your method choice and the missing data pattern (e.g., using listwise deletion under an MNAR pattern), it states this explicitly. Suitable for: graduate students and researchers doing survey/clinical data analysis who want to write the data pre-processing section quickly and correctly.
Descriptive Statistics Writer
Turns your descriptive stats into a Table 1
Description
Converts the user's descriptive statistics outputs (mean±SD or median(IQR), n(%)) into an academic "Participant Characteristics" paragraph ready to drop into a manuscript, plus a Table 1 formatted table. Selects the correct descriptive statistic (mean±SD vs. median(IQR)) based on normality status and never mixes the two up. Who it's for: graduate students and academics running quantitative research who want to write the manuscript's "Participants" section quickly and correctly.
Related Skills
View allCronbach Alpha Reliability Writer
Converts the reliability statistics you enter (Cronbach alpha, item count, subscales) into an academic "Reliability Analysis" paragraph ready to drop straight into your manuscript. Provides an acceptability table by subscale and, if it detects a low alpha (<.60), states this openly rather than hiding it. Suitable for: graduate students and researchers using scales who want to write the method section quickly and correctly.
Group Comparison Test Writer
Produces an APA 7-compliant, manuscript-ready Results text from your t-test, ANOVA, or Chi-square test outputs. Uses correct statistical reporting format (t(df)=..., p=..., d=...) and interprets effect size against Cohen's benchmarks. Reminds you to state a multiple comparison correction method when three or more groups are compared. Who it's for: researchers and graduate students running experimental or comparative studies.
Missing Data Reporting Assistant
When you enter your sample size, missing data proportion/pattern (MCAR/MAR/MNAR), missing data method (listwise deletion, multiple imputation, etc.), and outlier detection method (Z-score, IQR, Mahalanobis), it produces an academic paragraph that can be inserted directly into the "Data Pre-processing" section of your manuscript. If there is a methodological contradiction between your method choice and the missing data pattern (e.g., using listwise deletion under an MNAR pattern), it states this explicitly. Suitable for: graduate students and researchers doing survey/clinical data analysis who want to write the data pre-processing section quickly and correctly.
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