40 Questions
| Attempts: 1363

Questions and Answers

- 1.This value indicates the probability that the null hypothesis is true and so it follows that a researcher would want a very small probability value in order to be able to claim that the test result is statistically significant.
- A.
Level of Significance

- B.
Probability Value

- 2.The 5% level of significance can also be written as........ (where p = the probability of the result occurring if the null hypothesis were true)
- A.
P = .5

- B.
p = .05

- 3.When the 5% significance level is achieved in quantitative research, providing that the study has been carefully designed and executed, a more likely explanation is that the result is due to the effects of the manipulated independent variable.
- A.
The null hypothesis is, therefore, rejected.

- B.
The null hypothesis is, therefore, retained

- 4.If the 5% level of significance or less is achieved (p
__<__.05) this means that the probability of observing that particular result, if the null hypothesis is true, is.....- A.
1 in 5 (or 20%) or less.

- B.
1 in 20 (or 5%) or less.

- 5.A Type 1 error occurs when a null hypothesis......
- A.
Is rejected when it should have not been.

- B.
Is retained when it should not have been.

- 6.A Type 2 error occurs when a null hypothesis......
- A.
Is retained when it should not have been.

- B.
Is rejected when it should have not been.

- 7.In a statistical context, the term ‘population’ refers to a
- A.
Complete data set rather than to a sample (a subgroup) of the population.

- B.
Sample (a subgroup) of the population rather than to a complete data set

- 8.The type of research design - The test you use will depend on whether the design of your experiment was independent or related (matched pairs or repeated measures) - Is a factor affecting the
- A.
Choice of Statistical Test

- B.
Choice of Sampling Method

- 9.The type of data - The data will be measured on either a nominal, ordinal or ratio scale - Is a factor affecting the
- A.
Choice of Sampling Method

- B.
Choice of Statistical Test

- 10.Data on this most basic scale of measurement simply involve distinguishing between different and mutually exclusive categories of a variable e.g. smokers/non-smokers.
- A.
Nominal Data

- B.
Ordinal Data

- 11.Can be organised into categories but these categories can also be placed in a logical order based on their meaning e.g. categories used to measure social class.
- A.
Interval Data

- B.
Ordinal Data

- 12.Units of measurement that can be placed in a logical order and the intervals between adjacent units on the scale are equal because they are based on some standard unit of measurement e.g. the Celsius temperature scale.
- A.
Nominal Data

- B.
Interval Data

- 13.Measurements on a scale that has equal intervals and also a genuine zero-point e.g. height in centimeters or weight in kilograms.
- A.
Ratio Data

- B.
Interval Data

- 14.A test of statistical significance does not make any assumptions about the parameters (limits) underlying the distribution of the quantitative data.
- A.
Non-Parametric Test

- B.
Parametric Test

- 15.Is a test of difference that is suitable for comparing data gathered from two groups in an experiment using an independent group design. It can be used with ordinal data.
- A.
The Mann-Whitney U Test

- B.
The Wilcoxon Test

- 16.If this value is equal to or less than the critical value for a given level of significance, the null hypothesis can be rejected - This applies to
- A.
The Wilcoxon Test

- B.
The Mann-Whitney U Test

- 17.A test of difference, suitable for use with data gathered from an experiment, using a related (matched pairs or repeated measures) design. It can be used on ordinal data.
- A.
The Chi Squared Test

- B.
The Wilcoxon Test

- 18.If the observed value of T is equal to, or less than, the critical value for a given level of significance, the null hypothesis can be rejected - This applies to
- A.
The Wilcoxon Test

- B.
The Mann Whitney U Test

- 19.A test of correlation suitable for use with pairs of scores. It can be used with ordinal data.
- A.
Spearman's Correlation Coefficient

- B.
The Chi Sqaured Test

- 20.If the observed value is equal to or greater than the critical value for a given level of significance, the null hypothesis can be rejected. This can be applied to
- A.
The Wilcoxon Test

- B.
Spearman's Correlation Coefficient

- 21.A test of association for use with data gathered from independent samples that are measured at a nominal level in the form of frequencies.
- A.
The Chi-Squared Test

- B.
The Mann Whitney U Test

- 22.If the observed value of x² is equal to or greater than the critical value for a given level of significance, the null hypothesis can be rejected. This applies to
- A.
Spearman's Correlation Coefficient

- B.
The Chi Squared Test

- 23.A systematic research technique for analysing transcripts of interviews, documents or text (visual or written) including advertisements.
- A.
Content Analysis

- B.
Thematic Analysis

- 24.A method for identifying, analyzing, and reporting patterns (themes) within data. It minimally organizes and describes your data set in detail. It involves taking a body of text and organizing it into specific themes so that the content can be summarised.
- A.
Thematic Analysis

- B.
Content Analysis

- 25.Involves approaching the data with no preconceptions about which themes might emerge.
- A.
Inductive Analysis

- B.
Theoretical Analysis

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