Page 32 - Vol 7 No 3 July September 2017
P. 32

PESY: Print ISSN 2231-1394, Online ISSN 2278-795X                                                                              Vol. 7 No 3

                 METHODOLOGY
                        For  the  purpose  of  study,  four  teams  from  different  regions  of  University  Hockey
                 (Women)  players  were  selected  at  random.  Since  the  data  pertains  to  the  team  players,  the
                 numbers of subjects were limited to the team. The players were  approached a day prior to the
                 competition to administer the “Competition Anxiety test”.
                        The  SCAT (according  to  Martens,  1990)  –  is  an  analysis  of  Competition anxiety; a
                 test measuring the tendency of an athlete to experience anxiety when competing in a sport. It is
                 used  to  measure  competitive  trait  anxiety.  Test  scoring  is  based  on  10  questions  that  ask
                 individuals how they feel when competing in sports and games. Each item is answered on a three-
                 point  scale  (often,  sometimes,  hardly  ever)  and  a  summary  score  ranging  from  10  (low
                 competitive trait anxiety) to 30 (high competitive trait anxiety) is computed for each respondent.
                 SCAT score is obtained based on the guide for the test.
                        To examine the hypothesis study, descriptive statistics such as mean, standard deviation,
                 variation and comparative statistics – one –way ANOVA were used.
                 The data was analysed using the Microsoft Data Analysis package of Anova-one-way.

                 DATA COLLECTION – INTER-UNIVERSITY HOCKEY (WOMEN) COMPETITION
                        Researcher  has  personally  contacted  the  respective  teams  chosen  as  subjects  of  study.
                 Sport  competition  anxiety  test  (SCAT)questionnaire  was  used  for  collection  of  response  of
                 players.
                        12, 18, 16 and 16 players were selected from teams A, B, C and team D respectively. A
                 total of 62 players were administered the SCAT questionnaire. Consent, along with demographic
                 information was obtained from each subject player before administering the questionnaire.
                        The players were briefed regarding the purpose of the study and where required explained
                 the  questions  where  they  had  doubts  due  to  language.  No  assistance,  however,  was  directed
                 towards any specific response. The data was restricted to the players only. The data was collected
                 separately  from  the  teams  ensuring  that  there  was  no  sharing  of  response  by  the  players  from
                 different  teams.The  SCAT  questionnaire  was  administered  and  the  response  obtained  from  the
                 teams. The data was compiled. Scores were obtained using the reference keys. The results were
                 used for statistical analysis.

                 DATA ANALYSIS
                        The  basic  statistical  parameters  of  arithmetic mean,  standard  deviation  (SD),  maximum
                 and minimum values and variance were processed. Differences between the groups for assessing
                 the  anxiety  levels  amongst  hockey  players  was  determined  using  one-way  ANOVA  statistics.
                 Using Univariate test (ANOVA) the dependent variable was found to be significantly different
                 (among the four professional group of players) at 61 degree of freedom. The data interpretation for
                 the SCAT is appended below for the two groups

                              Analysis of Variance (ANOVA): Single Factor – Summary of data
                                Groups           Count      Sum      Average     St Dev    Variance
                                   A               12        195      16.250     1.658       2.750
                                   B               18        338      18.778     3.457      11.948
                                   C               16        289      18.063     3.336      11.129
                                   D               16        257      16.063     2.768       7.663




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