Differences

This shows you the differences between two versions of the page.

--- sift:tutorials:perform_statistical_parametric_mapping [2024/12/17 18:09] – [GLM] wikisysop
+++ sift:tutorials:perform_statistical_parametric_mapping [2024/12/17 18:27] (current) – [Analysis] wikisysop
@@ Line 84: / Line 84: @@
   - Enter the following into the GLM Dialog:
     * GLM Name: GLM
+    * Statistical Test: Two-Sample T-Test
     * Group By: Group
     * The Groups Selected should be OA and NC
+    * Use Workspace Mean: Unchecked
   - Select Create GLM
@@ Line 97: / Line 99: @@
   - Enter the following into the GLM Dialog:
     * GLM Name: GLM_Registered
+    * Statistical Test: Two-Sample T-Test
     * Group By: Group
     * The Groups Selected should be OA_Registered and NC_Registered
+    * Use Workspace Mean: Unchecked
   - Select Create GLM
@@ Line 122: / Line 126: @@
     - For unregistered data:
       * SPM Name: SPM
-      * Statistic: t Statistic
+      * Statistic: Two Sample T-Test
       * Group 1: OA
       * Group 2: NC
+      * Threshold: 0.05
+      * Two-Tailed: Checked
 === Registered Data ===
@@ Line 133: / Line 139: @@
     - For registered data:
       * SPM Name: SPM_Registered
-      * Statistic: t Statistic
+      * Statistic: Two Sample T-Test
       * Group 1: OA_Registered
       * Group 2: NC_Registered
+      * Threshold: 0.05
+      * Two-Tailed: Checked
-We have now calculated two SPMs, which we can easily compare/contrast by selecting the GLM and SPM Results we want in the top bar of the SPM tab. Both SPMs provide us with similar insights: there is a statistical difference between the 2 groups, and it is most prominent during mid-stance(roughly 10%-25% of the gait cycle), as well as mid-swing (roughly 55%-85% of the gait cycle). For the given threshold (defaults to alpha=0.01), we have established that there is a difference between the 2 groups (more precisely, we determined that the null hypothesis that the 2 groups are from the same population sample is false at alpha<0.01).
+We have now calculated two SPMs, which we can easily compare/contrast by selecting the GLM and SPM Results we want in the top bar of the SPM tab. Both SPMs provide us with similar insights: there is a statistical difference between the 2 groups, and it is most prominent during mid-stance(roughly 10%-25% of the gait cycle), as well as mid-swing (roughly 55%-85% of the gait cycle). For the given threshold (defaults to alpha=0.01), we have established that there is a difference between the 2 groups (more precisely, we determined that the null hypothesis that the 2 groups are from the same population sample is false at alpha<0.05).
 {{:SPM_Plot1.png?800}}
-The difference between both SPMs is most apparent at ~65% of the gait cycle. Here we can see a significantly more pronounced t statistic (~10 vs ~12.5). While both are well above the specified threshold where alpha=0.01, this can show us how curve registration can be useful to correctly align our data, and get more meaningful results from our analysis.
+The difference between both SPMs is most apparent at ~65% of the gait cycle. Here we can see a significantly more pronounced t statistic (~10 vs ~12.5). While both are well above the specified threshold where alpha=0.05, this can show us how curve registration can be useful to correctly align our data, and get more meaningful results from our analysis.
 {{:SPM_Plot2.png?800}}