Scoring the Survey of Teachers' Attitudes Toward Computers (TAC v3.0) Questionnaire

 

Introduction

The Survey of Teachers'’ Attitudes Toward Computers (TAC) gathers data on seven to twenty separate indices from respondents. TAC is a 99-199 item Likert/Semantic Differential instrument for measuring teachers' attitudes toward computers.  This version (TAC v3.0) includes the well-validated semantic differential subscale Semantic Perception of Computers (Kay, 1993) from The Computer Attitude Measure (CAM). The following sections describe how to score each subscale.

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 items in Part 1, 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.

One simple way to ensure that all the negatively worded items are reversed is to use a colored pen to circle the reflected values of the numbers marked by the respondents for these items.  For the items in Part 1, if the respondent circled 1, make it 4; if the respondent circled 3 make it 2, etc..  For example, the subscale Computer Enjoyment(TchJ) will be the sum of nine items (1, 2, 4, 5, 10, 13, 14, 15, and 18) in Part 1, with items 2, 14, 15, and 18 reversed before inclusion in the sum.  For the items in Part 3 through Part 7, if the respondent circled 1, make it 5; if the respondent circled 4, make it 2.  To generate an average for each subscale, take the sum of the items and divide by the number of items.

Reminder:  For the items in Part 1, 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.

Many of the items in the TAC (v3.0) 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 VAR15=5-VAR15.
COMPUTE VAR16=5-VAR16.
COMPUTE VAR17=5-VAR17.
COMPUTE VAR18=5-VAR18.
COMPUTE VAR20=5-VAR20.
COMPUTE VAR189=6-VAR189.
COMPUTE VAR191=6-VAR191.
COMPUTE VAR192=6-VAR192.
COMPUTE VAR215=6-VAR215.
COMPUTE VAR218=6-VAR218.
COMPUTE VAR219=6-VAR219.
COMPUTE VAR225=6-VAR225.
COMPUTE VAR227=6-VAR227.
COMPUTE VAR230=6-VAR230.
COMPUTE VAR231=6-VAR231.
COMPUTE VAR239=6-VAR239.
COMPUTE VAR241=6-VAR241.
COMPUTE VAR242=6-VAR242.
COMPUTE VAR248=6-VAR248.
COMPUTE VAR251=6-VAR251.
COMPUTE VAR256=6-VAR256.
COMPUTE VAR257=6-VAR257.
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 VAR110=6-VAR110.
COMPUTE VAR112=6-VAR112.
COMPUTE VAR123=6-VAR123.
COMPUTE VAR124=6-VAR124.
COMPUTE VAR129=6-VAR129.
COMPUTE VAR134=6-VAR134.
COMPUTE VAR135=6-VAR135.
COMPUTE VAR138=6-VAR138.
COMPUTE VAR141=6-VAR141.
COMPUTE VAR142=6-VAR142.
COMPUTE VAR144=6-VAR144.
COMPUTE VAR145=6-VAR145.
COMPUTE VAR150=6-VAR150.
COMPUTE VAR153=6-VAR153.
COMPUTE VAR154=6-VAR154.
COMPUTE VAR157=6-VAR157.
COMPUTE VAR166=6-VAR166.
COMPUTE VAR176=6-VAR176.
COMPUTE VAR180=6-VAR180.
COMPUTE VAR182=6-VAR182.
COMPUTE VAR185=6-VAR185.

MISSING VALUES VAR2 VAR7 VAR14 VAR15 VAR16 VAR17 VAR18
VAR20(5)
VAR55 VAR63 VAR71 VAR79 VAR87 VAR89 VAR189 VAR191
VAR192(6)
VAR215 VAR218 VAR219 VAR225 VAR227 VAR230 VAR231 VAR239
VAR241 VAR242 VAR248 VAR251 VAR256 VAR257 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)
VAR110 VAR112 VAR123 VAR135 VAR138 VAR141 VAR142 VAR144
VAR145 VAR150 VAR153 VAR154 VAR157 VAR166(6)
VAR180 VAR182 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 TchI = (VAR3+VAR6+VAR8+VAR9+VAR10+VAR11)/6.
COMPUTE TchJ = (VAR1+VAR2+VAR4+VAR5+VAR10+VAR13+VAR14
+VAR15+VAR18)/9.
COMPUTE TchAnx = (VAR7+VAR12+VAR14+VAR15+VAR16+VAR17
+VAR18+VAR19)/8.

compute F1 = (var249+var211+var243+var267+var181+var266+
var224+var186+var103+var246+var187+var209+var270+var180+var53)/15.

compute F2 = (var256+var260+var227+var263+var230+var110+
var87var182+var79+var15+var264+var153+var225+var88+var145)/15.

compute F3 = (var74+var164+var154+var54)/4.

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

compute F5 = (var142+var138+var135+var144+var176+var134+
var241+var218+var215+var257)/10

compute F6 = (var198+var199+var197+var196+var200+var175+var170
+var163+var162+var168+var165+var179+var92+var268)/14.

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

compute F8 = (var113+var78+var115+var109+var137+var93+var66
+var151+var3+var90+var123+var242+var252)/13.

compute F9 = (var128+var121+var236+var116+var86+var129+var237
+var140)/8.

compute F10=(var203+var202+var201+var205+var204+var149+var146
+var147+var148+var207+var91+var150+var192+var239)/14.

compute F11=(var261+var262+var272+var257+var166+var248)/6.

compute F12=(var125+var126+var122+var127+var111+var118)/6.

compute F13=(var9+var8+var10+var11+var4+var6+var64)/7.

compute F14=(var101+var69+var57+var60+var85+var72)/6.

compute F15=(var94+var173+var95+var97+var172+var214+var62
+var226+var216+var96)/10.

compute F16=(var100+var98+var104+var105+var193+var102+var89
+var65+var106)/9.

 

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 is F7 above:

compute F7 = (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