UNIVERSITY OF MALTA ISLANDS AND SMALL STATES STUDIES SEPTEMBER 2011 EXAMINATION Date: Monday 5th Sep 2010 Time: 10.30 – 11.30 Unit Code: ISS-5101 Unit Title: Research Methodology Answer any TWO questions (All questions carry 50 marks. Use a separate booklet for each question.) Answer either question 1 or question 2 Either Question 1 A researcher tried to test whether the adult males in England are taller than adult men in Malta. He took a random sample of 300 adult males in the UK and 100 adult males in Malta. He found that on average Maltese males were 163 cm tall, with a standard deviation of 6 cm whereas in England the average recorded height was 170 cm with a standard deviation of 8 cm. (a) Conduct a test to establish whether there is a statistically significant difference in the average height of Maltese males compared to English males, with 95% probability. (b) Would the results of question (a) have been different had the sample sizes been half those taken in Malta and Gozo? Why? (c) Would the results of question (a) have been different had the standard deviations been twice those found in Malta and England? Why? Or Question 2 A political analyst wanted to assess whether the sample he obtained was sufficiently representative of the age groups of potential voters. According to the electoral register, the proportions of voters by age group are shown in the column headed "voting population", whereas the sample distribution is that shown in the table headed "sample" Age Group Voting Population Very young (18-25) 40,133 Young (26-32) 35,344 Younger middle-aged (33-45) 60,546 Older middle-age (45-55) 50,123 Older (55-65) 52,453 Old persons (65 and over) 30,004 Total 268,60 Sample 16 15 20 22 19 8 100 (a) Do you consider the sample distribution to be statistically different from that of the voting population, with a 95% probability (b) Would your result change if you were to repeat it with a 99% probability? 1 (c) Do you think that the political analyst should assess whether his sample is sufficiently representative of the total voting population, taking into account other characteristics of the voting population? Which? and why? Question 3. (a) What do you understand by a composite index? (b) Give two examples of composite indices (c) Show how variables can be rescaled so that an averaging procedure can be carried out when there are differences in the manner in which the individual components of the index are measured? (d) Discuss some strengths and weaknesses of composite indices Question 4. (a) Describe, using examples of your choice, some of the main uses of the SPSS package? (b) Describe and explain at least two statistical tools, available in the SPSS package, which can be applied to test for normal distribution. Question 5 Discuss the relevance of the following terms/notions with respect to qualitative research methodology and technique: gift exchange; trust; rapport; engaged/engaging; multisensory. 2 FORMULAE FOR THE STATISTICAL TESTS Z test Z= X 1 -X 2 √ [(s1 2 / n1) + (s12 / n2)] where: s1 and s2 are the standard deviations of the two samples; X1 and X 2 are the means of the two samples; n1 and n2 are the sample sizes. Chi Square Test χ2 = Σ(oi-ei)2/ei Where: oi stands for the observed data of category i ei stands for the expected data of category i 3 4 Table of the Table of the χ2 Distribution Right tail areas for the Chi-square Distribution DF 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 1.00 0.00 0.01 0.07 0.21 0.41 0.68 0.99 1.34 1.73 2.16 2.60 3.07 3.57 4.07 4.60 5.14 5.70 6.26 6.84 7.43 8.03 8.64 9.26 9.89 10.52 11.16 11.81 12.46 13.12 13.79 0.99 0.98 0.95 0.90 0.75 0.50 0.25 0.10 0.05 0.03 0.01 0.01 0.00 0.02 0.11 0.30 0.55 0.87 1.24 1.65 2.09 2.56 3.05 3.57 4.11 4.66 5.23 5.81 6.41 7.01 7.63 8.26 8.90 9.54 10.20 10.86 11.52 12.20 12.88 13.56 14.26 14.95 0.00 0.05 0.22 0.48 0.83 1.24 1.69 2.18 2.70 3.25 3.82 4.40 5.01 5.63 6.26 6.91 7.56 8.23 8.91 9.59 10.28 10.98 11.69 12.40 13.12 13.84 14.57 15.31 16.05 16.79 0.00 0.10 0.35 0.71 1.15 1.64 2.17 2.73 3.33 3.94 4.57 5.23 5.89 6.57 7.26 7.96 8.67 9.39 10.12 10.85 11.59 12.34 13.09 13.85 14.61 15.38 16.15 16.93 17.71 18.49 0.02 0.21 0.58 1.06 1.61 2.20 2.83 3.49 4.17 4.87 5.58 6.30 7.04 7.79 8.55 9.31 10.09 10.86 11.65 12.44 13.24 14.04 14.85 15.66 16.47 17.29 18.11 18.94 19.77 20.60 0.10 0.58 1.21 1.92 2.67 3.45 4.25 5.07 5.90 6.74 7.58 8.44 9.30 10.17 11.04 11.91 12.79 13.68 14.56 15.45 16.34 17.24 18.14 19.04 19.94 20.84 21.75 22.66 23.57 24.48 0.45 1.39 2.37 3.36 4.35 5.35 6.35 7.34 8.34 9.34 10.34 11.34 12.34 13.34 14.34 15.34 16.34 17.34 18.34 19.34 20.34 21.34 22.34 23.34 24.34 25.34 26.34 27.34 28.34 29.34 1.32 2.77 4.11 5.39 6.63 7.84 9.04 10.22 11.39 12.55 13.70 14.85 15.98 17.12 18.25 19.37 20.49 21.60 22.72 23.83 24.93 26.04 27.14 28.24 29.34 30.43 31.53 32.62 33.71 34.80 2.71 4.61 6.25 7.78 9.24 10.64 12.02 13.36 14.68 15.99 17.28 18.55 19.81 21.06 22.31 23.54 24.77 25.99 27.20 28.41 29.62 30.81 32.01 33.20 34.38 35.56 36.74 37.92 39.09 40.26 3.84 5.99 7.81 9.49 11.07 12.59 14.07 15.51 16.92 18.31 19.68 21.03 22.36 23.68 25.00 26.30 27.59 28.87 30.14 31.41 32.67 33.92 35.17 36.42 37.65 38.89 40.11 41.34 42.56 43.77 5.02 7.38 9.35 11.14 12.83 14.45 16.01 17.53 19.02 20.48 21.92 23.34 24.74 26.12 27.49 28.85 30.19 31.53 32.85 34.17 35.48 36.78 38.08 39.36 40.65 41.92 43.19 44.46 45.72 46.98 6.63 9.21 11.34 13.28 15.09 16.81 18.48 20.09 21.67 23.21 24.72 26.22 27.69 29.14 30.58 32.00 33.41 34.81 36.19 37.57 38.93 40.29 41.64 42.98 44.31 45.64 46.96 48.28 49.59 50.89 7.88 10.60 12.84 14.86 16.75 18.55 20.28 21.95 23.59 25.19 26.76 28.30 29.82 31.32 32.80 34.27 35.72 37.16 38.58 40.00 41.40 42.80 44.18 45.56 46.93 48.29 49.64 50.99 52.34 53.67 5