Scoring the Survey of Teachers’Attitudes Toward Computers (TAC v3.2b) Questionnaire

 

Introduction

The Survey of Teachers' Attitudes Toward Computers(TAC) gathers data on seven to twenty separate indices from respondents. The TAC is a 99-199 item Likert/Semantic Differential instrument for measuring teachers' attitudes toward computers. This version (TAC v3.2b) uses 109 items to gather data on seven factors:

Enthusiasm
Anxiety
Avoidance
E-mail for Classroom Learning
Negative Impact on Society
Productivity Improvement
Semantic Perception of Computers
(Kay's semantic perception of computers (Kay, 1993) is a 10-item semantic differential.)

The following sections describe how to score each scale.

Teachers' Attitudes Toward Computers - Scoring

The recommended procedure for manual scoring is to simply sum the numeric values of the responses for the related items to produce the various subscale scores.  However, some items on the TAC have negative wording and must be reversed before adding to the others. These items are listed below in the "SPSS command application".  For the first 20 items, the item numbers and the variable number (to be used with statistical packages) are the same.  For the remainder of the items the variable number is listed after each statement in the survey.

One simply way is to use a colored pen to circle the reflected values of the numbers marked by the respondents for these items.  If the respondent circled 1, make it 5: if the respondent circled 4 make it 2.   For example, the subscale Computer Enjoyment will be the sum of nine items (1, 2, 4, 5, 10, 15, 16, 17, and 20), with items 2, 16, and 17 reversed before inclusion in the sum.   To generate an average for each subscale, take the sum of the items and divide by the number of items.

Reminder:  For the first 20 items, the item number and the variable number (to be used with statistical packages) are the same. For the remainder of the items the variable number is listed after each statement in the survey.

Step-by-Step Scoring Procedures:

1. Reverse the items negatively worded within each subscale.

Some items in the TAC (v3.2b) subscales have negative wording.  These items are listed below in the "SPSS command application".

To ensure that this alternate positioning does not skew scores, the scoring process must include the reversal of items negatively worded.

SPSS command example:

compute varx = 6 - varx
(where x is the variable that represents the item in the scale and where 6 is used for any 5-position scale)

SPSS command application:

COMPUTE VAR2=5-VAR2.
COMPUTE VAR7=5-VAR7.
COMPUTE VAR14=5-VAR14.
COMPUTE VAR16=5-VAR16.
COMPUTE VAR17=5-VAR17.
COMPUTE VAR18=5-VAR18.
COMPUTE VAR19=5-VAR19.
COMPUTE VAR20=5-VAR20.
COMPUTE VAR22=5-VAR22.
COMPUTE VAR183=6-VAR183.
COMPUTE VAR189=6-VAR189.
COMPUTE VAR190=6-VAR190.
COMPUTE VAR191=6-VAR191.
COMPUTE VAR192=6-VAR192.
COMPUTE VAR208=6-VAR208.
COMPUTE VAR210=6-VAR210.
COMPUTE VAR215=6-VAR215.
COMPUTE VAR218=6-VAR218.
COMPUTE VAR219=6-VAR219.
COMPUTE VAR220=6-VAR220.
COMPUTE VAR221=6-VAR221.
COMPUTE VAR222=6-VAR222.
COMPUTE VAR223=6-VAR223.
COMPUTE VAR225=6-VAR225.
COMPUTE VAR227=6-VAR227.
COMPUTE VAR228=6-VAR228.
COMPUTE VAR230=6-VAR230.
COMPUTE VAR231=6-VAR231.
COMPUTE VAR233=6-VAR233.
COMPUTE VAR234=6-VAR234.
COMPUTE VAR238=6-VAR238.
COMPUTE VAR239=6-VAR239.
COMPUTE VAR241=6-VAR241.
COMPUTE VAR242=6-VAR242.
COMPUTE VAR244=6-VAR244.
COMPUTE VAR247=6-VAR247.
COMPUTE VAR248=6-VAR248.
COMPUTE VAR250=6-VAR250.
COMPUTE VAR251=6-VAR251.
COMPUTE VAR253=6-VAR253.
COMPUTE VAR256=6-VAR256.
COMPUTE VAR257=6-VAR257.
COMPUTE VAR258=6-VAR258.
COMPUTE VAR259=6-VAR259.
COMPUTE VAR260=6-VAR260.
COMPUTE VAR261=6-VAR261.
COMPUTE VAR262=6-VAR262.
COMPUTE VAR263=6-VAR263.
COMPUTE VAR264=6-VAR264.
COMPUTE VAR272=6-VAR272.
COMPUTE VAR55=6-VAR55.
COMPUTE VAR57=6-VAR57.
COMPUTE VAR58=6-VAR58.
COMPUTE VAR60=6-VAR60.
COMPUTE VAR63=6-VAR63.
COMPUTE VAR65=6-VAR65.
COMPUTE VAR68=6-VAR68.
COMPUTE VAR70=6-VAR70.
COMPUTE VAR71=6-VAR71.
COMPUTE VAR73=6-VAR73.
COMPUTE VAR74=6-VAR74.
COMPUTE VAR76=6-VAR76.
COMPUTE VAR79=6-VAR79.
COMPUTE VAR81=6-VAR81.
COMPUTE VAR82=6-VAR82.
COMPUTE VAR84=6-VAR84.
COMPUTE VAR87=6-VAR87.
COMPUTE VAR89=6-VAR89.
COMPUTE VAR90=6-VAR90.
COMPUTE VAR108=6-VAR108.
COMPUTE VAR110=6-VAR110.
COMPUTE VAR111=6-VAR111.
COMPUTE VAR112=6-VAR112.
COMPUTE VAR114=6-VAR114.
COMPUTE VAR118=6-VAR118.
COMPUTE VAR120=6-VAR120.
COMPUTE VAR123=6-VAR123.
COMPUTE VAR124=6-VAR124.
COMPUTE VAR127=6-VAR127.
COMPUTE VAR129=6-VAR129.
COMPUTE VAR130=6-VAR130.
COMPUTE VAR132=6-VAR132.
COMPUTE VAR133=6-VAR133.
COMPUTE var134=6-var134.
COMPUTE VAR135=6-VAR135.
COMPUTE VAR136=6-VAR136.
COMPUTE VAR138=6-VAR138.
COMPUTE VAR139=6-VAR139.
COMPUTE VAR141=6-VAR141.
COMPUTE VAR142=6-VAR142.
COMPUTE VAR143=6-VAR143.
COMPUTE VAR144=6-VAR144.
COMPUTE VAR145=6-VAR145.
COMPUTE VAR150=6-VAR150.
COMPUTE VAR152=6-VAR152.
COMPUTE VAR153=6-VAR153.
COMPUTE VAR154=6-VAR154.
COMPUTE VAR155=6-VAR155.
COMPUTE VAR156=6-VAR156.
COMPUTE VAR157=6-VAR157.
COMPUTE VAR158=6-VAR158.
COMPUTE VAR159=6-VAR159.
COMPUTE VAR160=6-VAR160.
COMPUTE VAR166=6-VAR166.
COMPUTE VAR176=6-VAR176.
COMPUTE VAR180=6-VAR180.
COMPUTE VAR182=6-VAR182.
COMPUTE VAR183=6-VAR183.
COMPUTE VAR185=6-VAR185.

MISSING VALUES VAR2 VAR7 VAR14 VAR16 VAR17 VAR18 VAR19 VAR20 VAR22(5)
VAR183 VAR55 VAR63 VAR71 VAR79 VAR87 VAR89 VAR189 VAR190
VAR191 VAR192(6)
VAR208 VAR210 VAR215 VAR218 VAR219 VAR220 VAR221 VAR222 VAR223 VAR225
VAR227 VAR228 VAR230 VAR231 VAR233 VAR234 VAR238 VAR239 VAR241 VAR242
VAR244 VAR247 VAR248 VAR250 VAR251 VAR253 VAR256 VAR257 VAR258 VAR259
VAR260 VAR261 VAR262 VAR263 VAR264 VAR272(6)
VAR52 VAR55 VAR57 VAR58 VAR60 VAR63 VAR65 VAR68 VAR70 VAR71
VAR73 VAR74 VAR76 VAR79 VAR81 VAR82 VAR84 VAR87 VAR89 VAR90(6)
VAR108 VAR110 VAR111 VAR112 VAR114 VAR118 VAR120 VAR123 VAR124 VAR127
VAR129 VAR130 VAR132 VAR133 VAR135 VAR136 VAR138 VAR139 VAR141 VAR142
VAR143 VAR144 VAR145 VAR150 VAR152 VAR153 VAR154 VAR155 VAR156 VAR157
VAR158 VAR159 VAR160 VAR166(6)
VAR180 VAR182 VAR183 VAR185 VAR134(6)

2. Generate an average score for each subscale.

Add all values for each subscale and divide by the number of items.

SPSS command example:

compute J = (var1+var2+var4+…+varn)/n

SPSS command application:

compute J = (var1+var2+var4+var5+var10+var15+var16
+var17+var19)/9

COMPUTE I=(VAR3+VAR6+VAR8+VAR9+VAR10+VAR11+VAR12)/7.
COMPUTE J=(VAR1+VAR2+VAR4+VAR5+VAR10+VAR15+VAR16+VAR17+VAR20)/9.
COMPUTE Anxiety=(VAR7+VAR13+VAR16+VAR17+VAR18+VAR19+VAR20
+VAR21)/8.

compute F1even=(var186+var187+var193+var99+var209+var194+var185
+var189+var267+var188+var246+var243+var100+var81+var98)/15.

compute F2even=(var263+var260+var256+var87+var117+var145+
var219+var259+var225+var233+var247+var258+var13+var244+var178)/15.

compute F3=(var150+var192+var74+var154+var123+var262+var214
+var94+var84+var272+var224+var261+var164)/13.

compute F4=(VAR282+VAR284+VAR281+VAR283+VAR280+VAR276+VAR278
+VAR279+VAR277+VAR274+VAR275)/11.

compute F5=(var142+var215+var138+var135+var144+var176+var134+
var241+var218+var257+var251)/11.

compute F6even=(var202+var93+var203+var113+var109+var201+var78
+var148+var151+var199+var97+var91+var198+var179+var196)/15.

compute F7=(VAR44+VAR50+VAR49+VAR41+VAR46+VAR43+VAR42
+VAR45+VAR48+VAR47)/10.

Computer Attitude Measure (CAM) Scoring

Kay's (1993) Computer Attitude Measure has 10 adjective pairs with seven response blanks. Step-by-step procedures for scoring this scale are:

Step-by Step Scoring Procedures:

1. Translate each response (X) to a numerical value

Each blank on the response form represents a value from 1-7.

For example, an X in the 2nd blank from the left is valued at 2.

2. Generate an average score

Add all 10 values and divide by the number of items.

SPSS command example:

compute CAM = (var41+var42+var43+…+varn)/n

SPSS command application:

compute CAM = (var41+var42+var43+var44+var45+var46+var47
+var48+var49+var50)/10

 
TAC
 description  scoring (2.22)(3.0)(3.2a)(3.2b)
 reliability  download (2.22)(3.0)(3.2a)(3.2b)
 administration  
 
Descriptions
 YCCI  CAQ
 TAC  TAT
 FAIT