I have a Case study, But I don't which design should i use for analyzing the data. (Please tell me the most appropriate statistical analysis)

I need you to tell me which variable is my dependent variable, which will be treatment, fixed factor, random factors, and etc.

Also I want the step to do it in SPSS (For example: Analysis ----> Compare mean ----> .....)

I don't want you to do it for me, Just help me how to do it.

The case study is as follow:

Improving Teaching.

A study to investigate whether incorporating learning style preferences of 59 elementary students improved their understanding of three science courses.

Variables: ID Student identifier SEX Gender of Student CLASS Class: 1,2,3 (see Design notes below) P1, P2, P3 Prestest score (out of 100) for UNIT = 1,2,3 F1, F2, F3 Posttest score (out of 100) for UNIT = 1,2,3 S1, S2, S3 Attitude score (out of 60) for UNIT = 1,2,3 H1, H2, H3 Higher learning test score for UNIT = 1,2,3 (1,2,3 = partially correct, 4 = correct) T,K,A,V Learning Style Preference: T = Tactile, K = Kinesthetic A = Auditory, V = Visual (60+ ==> student has strong preference for that learning style) 

Design: 3 science units (UNIT = 1,2,3) were taught to each class. For each UNIT, one class (C = Control) was taught using traditional methods; the other two classes incorporated learning style preference activities (E = Experiment). The Control group assignments for each UNIT were: UNIT = 1 : C = CLASS 3 UNIT = 2 : C = CLASS 1 UNIT = 3 : C = CLASS 2 

Data set:

id sex class p1 f1 s1 h1 p2 f2 s2 h2 p3 f3 s3 h3 t k a v s01 M 2 70 100 60 4 48 88 52 3 72 64 60 2 61 44 57 55 s02 F 2 80 85 60 2 50 76 60 3 70 72 60 1 35 44 57 34 s03 F 2 78 95 60 3 30 87 60 3 54 64 60 1 61 64 44 65 s04 F 2 72 65 59 2 43 60 33 2 64 64 58 2 30 54 48 34 s05 M 2 80 85 60 3 52 72 58 3 78 80 60 2 35 54 40 65 s06 F 2 65 85 60 2 48 66 56 2 58 58 60 1 52 57 66 34 s07 F 2 48 100 52 3 48 90 60 4 40 42 40 2 61 47 57 60 s08 M 2 75 100 56 2 60 78 56 3 50 52 60 1 26 27 57 34 s09 F 2 35 100 60 3 32 88 60 4 82 76 60 2 61 44 40 65 s10 F 2 75 100 60 4 34 92 60 4 66 76 60 4 61 64 66 44 s11 F 2 35 85 60 3 18 48 60 3 54 64 60 2 26 37 57 34 s12 M 2 35 95 60 3 48 88 60 3 22 32 56 1 61 51 66 65 s13 F 2 58 95 60 3 90 94 56 4 72 72 60 1 61 64 57 65 s14 F 2 78 80 60 2 80 86 59 3 60 68 60 3 26 51 40 65 s15 M 2 78 95 57 4 28 94 56 4 76 68 56 2 61 57 57 39 s16 F 2 32 80 59 4 68 92 57 4 76 68 55 2 61 51 61 39 s17 F 2 45 78 60 2 26 72 38 4 50 64 60 2 52 47 57 55 s18 M 2 58 78 60 2 42 74 60 3 72 72 60 2 52 57 57 65 s19 F 2 50 90 60 3 48 88 44 3 42 54 60 2 35 64 66 65 s20 F 1 70 85 60 2 41 52 60 2 70 88 59 2 30 51 53 50 s21 M 1 78 100 53 2 61 80 43 2 58 88 36 2 35 57 40 65 s22 F 1 45 100 40 4 46 60 24 3 52 96 36 4 61 64 40 65 s23 F 1 52 80 50 2 82 46 52 2 60 78 55 3 26 37 57 50 s24 F 1 78 95 55 4 52 60 45 3 70 96 40 4 64 57 66 39 s25 M 1 45 85 56 3 46 58 56 3 34 84 60 4 61 57 66 34 s26 F 1 78 95 57 4 54 77 60 3 54 96 43 4 61 37 40 55 s27 M 1 35 48 37 0 24 40 33 2 42 48 30 0 48 51 53 44 s28 F 1 78 85 58 2 54 80 49 4 59 72 60 4 52 44 66 34 s29 F 1 68 98 60 4 42 74 33 2 44 86 60 4 52 61 57 34 s30 M 1 45 78 50 2 31 26 47 3 28 42 47 2 43 34 57 65 s31 F 1 35 78 56 2 33 26 36 2 62 60 60 3 52 54 66 55 s32 F 1 58 80 56 2 44 88 50 2 54 74 59 2 39 44 48 55 s33 M 1 75 80 53 2 58 76 54 3 66 88 60 3 35 27 44 55 s34 F 1 35 78 48 2 68 64 12 3 50 72 60 3 39 27 57 44 s35 M 1 45 75 58 4 67 54 60 2 62 78 60 2 52 44 57 44 s36 F 1 60 80 59 2 27 72 16 2 40 86 31 2 43 20 48 60 s37 F 1 55 88 45 3 40 28 31 2 52 82 56 3 56 64 66 44 s38 M 1 35 82 56 2 44 76 58 3 70 74 60 2 30 34 31 65 s39 M 1 52 72 55 3 21 72 57 2 52 78 60 2 39 44 53 50 s40 M 1 78 98 57 4 59 72 48 2 60 90 52 3 61 61 48 65 s41 F 3 38 68 60 2 51 72 56 2 46 82 60 3 26 30 48 55 s42 M 3 45 78 60 3 66 84 60 2 56 78 60 2 52 30 57 34 s43 M 3 78 80 60 3 60 72 60 2 64 82 60 2 61 44 40 65 s44 M 3 58 72 47 0 38 66 48 2 60 78 60 0 52 37 48 44 s45 F 3 58 62 59 2 44 84 59 3 57 92 59 4 61 57 66 34 s46 M 3 55 72 54 2 32 76 55 2 52 74 59 2 43 37 40 55 s47 M 3 35 68 58 3 48 64 60 1 36 72 60 3 52 24 57 55 s48 F 3 68 72 54 0 46 58 60 2 58 78 60 3 35 47 57 34 s49 F 3 38 60 58 2 42 86 59 3 50 92 60 4 52 64 57 44 s50 M 3 40 68 56 2 44 84 60 4 40 94 60 3 61 64 57 44 s51 F 3 58 72 60 0 58 92 60 3 66 88 60 3 35 51 48 34 s52 F 3 78 78 60 3 36 72 60 2 68 74 60 4 61 44 40 55 s53 M 3 60 72 56 2 58 86 60 4 46 90 60 3 61 44 48 55 s54 M 3 75 78 43 3 50 70 56 2 38 62 59 1 43 37 48 44 s55 M 3 60 72 60 2 36 81 60 3 42 92 60 4 61 64 31 44 s56 F 3 78 82 60 4 62 62 59 0 56 82 60 3 35 37 48 44 s57 F 3 48 72 60 1 34 92 60 3 33 92 60 4 61 44 40 65 s58 F 3 58 78 52 2 41 72 46 2 56 72 60 3 52 57 66 55 s59 F 3 78 78 58 3 18 70 60 3 26 90 60 4 61 51 48 50