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Exekiel179

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• 18 skills
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• 6 hours ago last updated

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   Spss Analyst · exekiel179 bundle

   Write and execute IBM SPSS Statistics syntax following SPSS conventions and run SPSS MCP analyses defensively. Use when the user asks to run statistical analysis (frequencies, descriptives, regression, t-test, ANOVA, correlations, factor analysis, crosstabs, MDS/PROXSCAL, clustering, survival, mixed models, etc.), write or review SPSS syntax/code, explore or summarize .sav data files, compute/recode/transform variables, clean or restructure data in SPSS, diagnose SPSS MCP timeouts or syntax incompatibilities, or use SPSS MCP tools safely with smoke tests first. Triggered by keywords like SPSS, .sav, 分析, 频率, 回归, 方差分析, 相关, 描述统计, t检验, 因子分析, 交叉表, 编码, 临近映射, MDS, PROXSCAL, or any request involving statistical analysis with SPSS data files.
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   Spss MCP Guard · exekiel179 bundle

   Make IBM SPSS Statistics MCP execution more reliable by preventing common MCP/SPSS failures before they happen and diagnosing them when they do. Use when the user wants to avoid SPSS MCP timeouts, syntax incompatibilities, PROXSCAL/MDS errors, invalid subcommands, stale environment configuration, or flaky batch execution; when a statistical analysis should be executed defensively with smoke tests first; or when Claude should probe with minimal syntax before attempting a heavier SPSS run.
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   Pg Anova · exekiel179 bundle

   Run or generate Pingouin code for one-way, factorial, repeated-measures, mixed, Welch ANOVA, ANCOVA, and follow-up pairwise tests.
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   Pg Power · exekiel179 bundle

   Plan psychology study sample sizes or compute achieved power with Pingouin power functions for t tests, ANOVA, repeated-measures ANOVA, and correlations.
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   Pg Bayesian · exekiel179 bundle

   Compute or generate Pingouin Bayes factors for t tests, correlations, and proportions (bayesfactor_ttest, bayesfactor_pearson, bayesfactor_binom), and read the BF10 already returned by pg.ttest and pg.corr.
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   Pg Workflow · exekiel179 bundle

   Run and resume the stateful Pingouin psychology statistics workflow. Use when the user wants an end-to-end, auditable analysis from intake through screening, analysis, approval, reporting, and archive, or asks to continue an existing analysis run.
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   Pg Reporting · exekiel179 bundle

   Convert Pingouin results into compact, polished APA-style or Chinese psychology result sections with tables, assumption notes, and uncertainty caveats.
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   Pg Mean Tests · exekiel179 bundle

   Run or generate Pingouin code for one-sample, independent, paired, Welch, and corrected pairwise mean comparisons in psychology studies.
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   Pingouin Stat · exekiel179 bundle

   Main Pingouin statistics workflow for psychology research. Use when the user says pingouin-stat or asks to analyze psychology data with Pingouin end-to-end: first clarify research question, variables, assumptions, output format such as Word/PDF/LaTeX, table/figure requirements, then route to analysis skills, run approval checks, and organize final results.
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    Pg Categorical · exekiel179 bundle

    Run or generate Pingouin code for categorical / contingency-table analyses — chi-square test of independence, McNemar's paired test, 2x2 crosstabs, and chi-square power — for psychology data with nominal variables.
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    Pg Reliability · exekiel179 bundle

    Run or generate Pingouin code for Cronbach alpha, item-scale reliability checks, and intraclass correlation for psychological ratings.
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    Pg Correlations · exekiel179 bundle

    Run or generate Pingouin code for Pearson, Spearman, Kendall, partial, repeated-measures, distance, and pairwise correlations with APA-style reporting.
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    Pg Multivariate · exekiel179 bundle

    Run or generate Pingouin code for multivariate comparisons — Hotelling's T-squared test (multivariate_ttest) — plus the multivariate assumption checks box_m (equal covariance) and multivariate_normality, for designs with several dependent variables.
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    Pg Nonparametric · exekiel179 bundle

    Run or generate Pingouin code for rank-based non-parametric tests — Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis, Friedman, and Cochran Q — when outcomes are ordinal or parametric assumptions fail.
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    Pg Data Screening · exekiel179 bundle

    Screen psychology datasets before Pingouin analysis: variable types, missingness, duplicates, long/wide shape, assumption checks, and safer preprocessing.
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    Pg Analysis Approval · exekiel179 bundle

    Review and approve Pingouin psychology analyses before final reporting. Use after data screening or statistical output and before interpretation to catch common problems: wrong test, ignored repeated measures, missing assumption checks, multiple-comparison errors, unsupported causal claims, incomplete reporting, or output-format mismatches.
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    Pingouin Stat Router · exekiel179 bundle

    Route psychology statistics requests to the smallest Pingouin workflow. Use when the user asks what analysis to run, gives a psychology design, asks to analyze data with Pingouin, or needs lower-token guidance before code generation.
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    Pg Regression Mediation · exekiel179 bundle

    Run or generate Pingouin code for linear regression, binary logistic regression, and mediation analysis with reproducible reporting.
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