Descriptive Statistics Participants Mean Std Deviation N Therapytype 2 00 2 0000 1 3 00 2 0000 1 4 00 1 7500 50000 4 5 00 1 6000 54772 5 6 00 1 5000 57735 4 7 00 1 1667 40825 6 8 00 1 0000 1 9 00 1 5000 70711 2 Total 1 5000 51075 24 Therapy time 2 00 1 0000 1 3 00 1 0000 1 4 00 1 0000 00000 4 5 00 1 6000 54772 5 6 00 1 7500 50000 4 7 00 1 5000 54772 6 8 00 2 0000 1 9 00 2 0000 00000 2 Total 1 5000 51075 24 Multivariate Testsa Effect Value F Hypothesis df Error df Sig Partial Eta Squared factor1 Pillai's Trace 019 305b 1 000 16 000 588 019 Wilks' Lambda 981 305b 1 000 16 000 588 019 Hotelling's Trace 019 305b 1 000 16 000 588 019 Roy's Largest Root 019 305b 1 000 16 000 588 019 factor1 Participants Pillai's Trace 556 2 857b 7 000 16 000 039 556 Wilks' Lambda 444 2 857b 7 000 16 000 039 556 Hotelling's Trace 1 250 2 857b 7 000 16 000 039 556 Roy's Largest Root 1 250 2 857b 7 000 16 000 039 556 a Design Intercept Participants Within Subjects Design factor1 b Exact statistic Mauchly's Test of Sphericitya Measure MEASURE 1 Within Subjects Effect Mauchly's W Approx Chi Square df Sig Epsilonb Greenhouse Geisser Huynh Feldt Lower bound factor1 1 000 000 0 1 000 1 000 1 000 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix a Design Intercept Participants Within Subjects Design factor1 b May be used to adjust the degrees of freedom for the averaged tests of significance Corrected tests are displayed in the Tests of Within Subjects Effects table Tests of Within Subjects Effects Measure MEASURE 1 Source Type III Sum of Squares df Mean Square F Sig Partial Eta Squared factor1 Sphericity Assumed 051 1 051 305 588 019 Greenhouse Geisser 051 1 000 051 305 588 019 Huynh Feldt 051 1 000 051 305 588 019 Lower bound 051 1 000 051 305 588 019 factor1 Participants Sphericity Assumed 3 333 7 476 2 857 039 556 Greenhouse Geisser 3 333 7 000 476 2 857 039 556 Huynh Feldt 3 333 7 000 476 2 857 039 556 Lower bound 3 333 7 000 476 2 857 039 556 Error(factor1) Sphericity Assumed 2 667 16 167 Greenhouse Geisser 2 667 16 000 167 Huynh Feldt 2 667 16 000 167 Lower bound 2 667 16 000 167 Tests of Within Subjects Contrasts Measure MEASURE 1 Source factor1 Type III Sum of Squares df Mean Square F Sig Partial Eta Squared factor1 Linear 051 1 051 305 588 019 factor1 Participants Linear 3 333 7 476 2 857 039 556 Error(factor1) Linear 2 667 16 167 Tests of Between Subjects Effects Measure MEASURE 1 Transformed Variable Average Source Type III Sum of Squares df Mean Square F Sig Partial Eta Squared Intercept 67 985 1 67 985 214 689 000 931 Participants 933 7 133 421 875 156 Error 5 067 16 317 Estimates Measure MEASURE 1 factor1 Mean Std Error 95 Confidence Interval Lower Bound Upper Bound 1 1 565 135 1 278 1 851 2 1 481 121 1 224 1 738 Pairwise Comparisons Measure MEASURE 1 (I) factor1 (J) factor1 Mean Difference (I J) Std Error Sig a 95 Confidence Interval for Differencea Lower Bound Upper Bound 1 2 083 151 588 236 403 2 1 083 151 588 403 236 Based on estimated marginal means a Adjustment for multiple comparisons Least Significant Difference (equivalent to no adjustments) how would i simplify the f and p value in a write up

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Descriptive Statistics Participants Mean Std  Deviation N Therapytype 2 00 2 0000   1 3 00 2 0000   1 4 00 1 7500  50000 4 5 00 1 6000  54772 5 6 00 1 5000  57735 4 7 00 1 1667  40825 6 8 00 1 0000   1 9 00 1 5000  70711 2 Total 1 5000  51075 24 Therapy time 2 00 1 0000   1 3 00 1 0000   1 4 00 1 0000  00000 4 5 00 1 6000  54772 5 6 00 1 7500  50000 4 7 00 1 5000  54772 6 8 00 2 0000   1 9 00 2 0000  00000 2 Total 1 5000  51075 24 Multivariate Testsa Effect Value F Hypothesis df Error df Sig  Partial Eta Squared factor1 Pillai's Trace  019  305b 1 000 16 000  588  019 Wilks' Lambda  981  305b 1 000 16 000  588  019 Hotelling's Trace  019  305b 1 000 16 000  588  019 Roy's Largest Root  019  305b 1 000 16 000  588  019 factor1   Participants Pillai's Trace  556 2 857b 7 000 16 000  039  556 Wilks' Lambda  444 2 857b 7 000 16 000  039  556 Hotelling's Trace 1 250 2 857b 7 000 16 000  039  556 Roy's Largest Root 1 250 2 857b 7 000 16 000  039  556 a Design  Intercept   Participants Within Subjects Design  factor1 b Exact statistic Mauchly's Test of Sphericitya Measure  MEASURE 1 Within Subjects Effect Mauchly's W Approx  Chi Square df Sig  Epsilonb Greenhouse Geisser Huynh Feldt Lower bound factor1 1 000  000 0   1 000 1 000 1 000 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix  a Design  Intercept   Participants Within Subjects Design  factor1 b May be used to adjust the degrees of freedom for the averaged tests of significance  Corrected tests are displayed in the Tests of Within Subjects Effects table  Tests of Within Subjects Effects Measure  MEASURE 1 Source Type III Sum of Squares df Mean Square F Sig  Partial Eta Squared factor1 Sphericity Assumed  051 1  051  305  588  019 Greenhouse Geisser  051 1 000  051  305  588  019 Huynh Feldt  051 1 000  051  305  588  019 Lower bound  051 1 000  051  305  588  019 factor1   Participants Sphericity Assumed 3 333 7  476 2 857  039  556 Greenhouse Geisser 3 333 7 000  476 2 857  039  556 Huynh Feldt 3 333 7 000  476 2 857  039  556 Lower bound 3 333 7 000  476 2 857  039  556 Error(factor1) Sphericity Assumed 2 667 16  167 Greenhouse Geisser 2 667 16 000  167 Huynh Feldt 2 667 16 000  167 Lower bound 2 667 16 000  167 Tests of Within Subjects Contrasts Measure  MEASURE 1 Source factor1 Type III Sum of Squares df Mean Square F Sig  Partial Eta Squared factor1 Linear  051 1  051  305  588  019 factor1   Participants Linear 3 333 7  476 2 857  039  556 Error(factor1) Linear 2 667 16  167 Tests of Between Subjects Effects Measure  MEASURE 1 Transformed Variable  Average Source Type III Sum of Squares df Mean Square F Sig  Partial Eta Squared Intercept 67 985 1 67 985 214 689  000  931 Participants  933 7  133  421  875  156 Error 5 067 16  317 Estimates Measure  MEASURE 1 factor1 Mean Std  Error 95  Confidence Interval Lower Bound Upper Bound 1 1 565  135 1 278 1 851 2 1 481  121 1 224 1 738 Pairwise Comparisons Measure  MEASURE 1 (I) factor1 (J) factor1 Mean Difference (I J) Std  Error Sig a 95  Confidence Interval for Differencea Lower Bound Upper Bound 1 2  083  151  588   236  403 2 1   083  151  588   403  236 Based on estimated marginal means a Adjustment for multiple comparisons  Least Significant Difference (equivalent to no adjustments)  how would i simplify the f and p value in a write up

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Question: Descriptive Statistics Participants Mean Std. Deviation N Therapytype 2.00 2.0000 . 1 3.00 2.0000 . 1 4.00 1.7500 .50000 4 5.00 1.6000 .54772 5 6.00

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