Inline reference modification

source/corr_case_documentation.rst

@@ -107,4 +107,5 @@ srq   0.9775  0.0000
 References
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 .. bibliography::
+   :cited:
    :list: bullet

source/corr_pair_documentation.rst

@@ -168,4 +168,5 @@ Examples
 References
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 .. bibliography::
+   :cited:
    :list: bullet

source/crosstab_documentation.rst

@@ -871,4 +871,5 @@ Examples
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 .. bibliography::
+   :cited:
    :list: bullet

source/difference_test_documentation.rst

@@ -10,19 +10,19 @@ This method is similar to researchpy.ttest(), except it allows the user to use
 the formula syntax.
 
 This method can perform the following tests:
-  * Independent sample t-test :cite:`scipy_ttest_ind`
+  * Independent sample t-test :cite: `scipy_ttest_ind`
 
       * `psudo-code: difference_test(formula_like, data, equal_variances = True, independent_samples = True)`
 
-  * Paired sample t-test :cite:`scipy_ttest_rel`
+  * Paired sample t-test :cite: `scipy_ttest_rel`
 
       * `psudo-code: difference_test(formula_like, data, equal_variances = True, independent_samples = False)`
 
-  * Welch's t-test :cite:`scipy_ttest_ind`
+  * Welch's t-test :cite: `scipy_ttest_ind`
 
       * `psudo-code: difference_test(formula_like, data, equal_variances = False, independent_samples = True)`
 
-  * Wilcoxon ranked-sign test :cite:`scipy_wilcoxon`
+  * Wilcoxon ranked-sign test :cite: `scipy_wilcoxon`
 
       * By default, discards all zero-differences; this is known as the 'wilcox' method.
       * `psudo-code: difference_test(formula_like, data, equal_variances = False, independent_samples = False)`
@@ -433,4 +433,5 @@ Now the data is in the correct structure.
 References
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 .. bibliography::
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    :list: bullet

source/ttest_documentation.rst

@@ -660,4 +660,5 @@ Examples
 References
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 .. bibliography::
+   :cited:
    :list: bullet