In List I types of variables are given and in List II correlation coefficients related to them are given. Match List I and List II and choose the correct answer from the code given below. List I (Types of variable) List II (Correlation coefficient)a) Both variables continuous i) Biserial b) Both with ordinal measure ii) Pearson's 'r' c) Both with artificial dichotomy iii) Contingency coefficient d) One continuous and other with artificial dichotomy iv) Spearman's rho e) Two or more categories v) Tetrachoric 'r' vi) Point-Biserial
a-ii, b-iv, c-v, d-i, e-iii
Pearson’s r measures linear association between continuous variables (a–ii); Spearman’s rho measures rank association (b–iv). Tetrachoric correlation concerns two dichotomized latent continuous variables (c–v), and biserial correlation one continuous and one dichotomized latent variable (d–i), under their distributional assumptions. The contingency coefficient measures categorical association (e–iii). Thus a–ii, b–iv, c–v, d–i, e–iii.
Important Questions from Measurement and Analysis of Data - Teaching
Type II error in hypothesis testing is:
Which level of measurement is least used in educational psychology?
Match the measurement scales in Set I with the examples in Set II.
Set I
(a) Nominal scale
(b) Ordinal scale
(c) Interval scale
(d) Ratio scaleSet II
(i) Ranking students’ performances in musical events
(ii) Spelling-test scaled scores defined with equal units and an arbitrary zero
(iii) Classifying students by the type of co-curricular activity they participate in
(iv) Students’ writing speed in words per minuteFor scores drawn from a continuous reference distribution, what is the shape of the distribution of their percentile ranks?
Below are given two sets of statistical tests of significance. Set - I lists the parametric tests while Set - II provides their non-parametric counterparts. Match the two and give your answer by selecting from the given code :
Set - I
(Parametric Tests)Set - II
(Non-parametric Tests)(a) Independent t-test (i) Chi-square test (b) Dependent t-test (ii) Kruskal Wallis H-test (c) ANOVA F-test (iii) Mann Whitney ‘U’ test (iv) Willeoxon T-test
