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Does memory performance differ based on study format (word, picture, and auditory study styles) and/or test format (in person vs. online)? Students in a class

Does memory performance differ based on study format (word, picture, and auditory study styles) and/or test format (in person vs. online)? Students in a class (N = 36) were randomly assigned to one of three study conditions (studying lists of words, pictures, or by listening to the list), and randomly assigned to one of two test types (in person or online). This means there were different people in each of the six conditions (n = 6 per condition): word study / in-person test; word study / online test; picture study / in-person test; picture study / online test; auditory study / in-person test; auditory study / online test. Data shown below are percent correct for each of these conditions. Enter it into SPSS to conduct the appropriate analysis and answer the following questions.

STUDY CONDITION
Word STUDYPicture STUDYAuditory STUDY
TEST TYPEIn-person TEST887968809092
908550857474
677854788979
Online TEST567092784571
626588955189
596787906793
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Tests of Within-Subjects Effects Measure: MEASURE_1 Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig. Squared Study_Type Sphericity Assumed 164.056 2 82.028 .228 798 .022 Greenhouse-Geisser 164.056 1.110 147.816 .228 667 022 Huynh-Feldt 164.056 1.273 128.860 .228 .699 .022 Lower-bound 164.056 1.000 164.056 228 .643 022 Study_Type * Test_Type Sphericity Assumed 828.167 2 414.083 1.151 .337 .103 Greenhouse-Geisser 828.167 1.110 746.189 1.151 314 .103 Huynh-Feldt 828.167 1.273 650.494 1.151 320 .103 Lower-bound 828.167 1.000 828.167 1.151 .309 103 Error(Study_Type) Sphericity Assumed 7197.778 20 359.889 Greenhouse-Geisser 7197.778 11.099 648.529 Huynh-Feldt 7197.778 12.731 565.359 Lower-bound 7197.778 10.000 719.778Mauchly's Test of Sphericity Measure: MEASURE_1 Epsilon Approx. Chi- Greenhouse- Within Subjects Effect Mauchly's W Square df Sig. Geisser Huynh-Feldt Lower-bound Study_Type .198 14.577 2 <.001 .555 .637 .500 tests the null hypothesis that error covariance matrix of orthonormalized transformed dependent variables is proportional to an identity matrix. a. design: intercept test_type within subjects study_type b. may be used adjust degrees freedom for averaged significance. corrected are displayed in within-subjects effects table.descriptive statistics mean std. deviation n word person online total picture aditory>

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