Assignment Question
1. Indicate the type of scale for the items below using Nominal, Ordinal, Interval and Ratio scales (a) Weight (b) Gender (c) Ethnic Origin (d) Finishing a place in a marathon (e) A score of 88 out of a 100 on a test (f) A salary of $50,000 (g) A response scale from 1 to 5 using strongly agree to strongly disagree 2. Gender Year Score Female Freshman 77 Female Freshman 86 Female Freshman 82 Female Freshman 75 Female Freshman 100 Female Freshman 86 Female Freshman 73 Female Sophomore 80 Female Sophomore 77 Female Sophomore 64 Female Sophomore 91 Female Sophomore 66 Female Sophomore 80 Female Sophomore 75 Female Sophomore 80 Male Freshman 82 Male Freshman 70 Male Freshman 75 Male Freshman 73 Male Freshman 84 Male Freshman 93 Male Freshman 86 Male Freshman 68 Male Sophomore 73 Male Sophomore 82 Male Sophomore 91 Male Sophomore 34 Male Sophomore 73 Male Sophomore 93 Male Sophomore 66 Using the data presented in the table above, calculate the following: (a) Mean (b) Median (c) Range (e) Standard Deviation (f) Female Mean (g) Male Mean (h) Freshman Mean (i) Sophomore Mean Based on these values, please answer the following questions: (i) What conclusions can you make about the variability of the student test scores? (ii) How does test performance compare between males and females? (iii) Hoes does test performance compare between freshmen and sophomores? (iv) The data were scores from a midterm. Do you have any suggestions for the instructor after reviewing the results? Part B In the research scenarios presented below, select the appropriate research instrument to be used in the collection of data from among the following (only one instrument for each scenario) Questionnaire Interview schedule (protocol) Projective test Achievement test Attitude scale Rating scale Anecdotal record (a) A researcher wants to to observe and record the behavior of an individual over time (b) An investigator wishes to survey a large group of individuals (c) A researcher wants to find out how much someone knows about the French Revolution (d) A researcher wishes to evaluate the quality of a new microwave oven (e) A researcher wishes to get in-depth information from a small group of people (f) A researcher wants to gain some idea of how students in a graduate program in teacher education feel about their student teaching experiences previous papers are attached first score 7/20, second 13/20, 3 10/20
Assignment Answer
Introduction
In this research paper, we will explore various types of measurement scales and their applications, followed by an analysis of student test scores. The paper will be divided into two parts. The first part will focus on identifying the types of scales for different items and calculating various statistical measures using the provided data. In the second part, we will discuss the implications of the test scores and provide recommendations based on the analysis.
Part A: Measurement Scales and Statistical Analysis
Types of Measurement Scales
(a) Weight – Ratio Scale (b) Gender – Nominal Scale (c) Ethnic Origin – Nominal Scale (d) Finishing a place in a marathon – Ordinal Scale (e) A score of 88 out of 100 on a test – Ratio Scale (f) A salary of $50,000 – Ratio Scale (g) A response scale from 1 to 5 using strongly agree to strongly disagree – Ordinal Scale
Calculation of Statistical Measures
Mean
Median
Range
Standard Deviation
Female Mean
Male Mean
Freshman Mean
Sophomore Mean
Interpretation of Result
(i) Variability of Student Test Scores: Analyzing the range and standard deviation to draw conclusions about the variability of test scores. (ii) Test Performance Comparison between Males and Females: Comparing mean scores to identify gender-related differences. (iii) Test Performance Comparison between Freshmen and Sophomores: Comparing mean scores to assess differences between class levels. (iv) Suggestions for the Instructor: Providing recommendations based on the analysis to enhance teaching methods or assessments.
Part B: Selection of Research Instruments
In this section, we will select appropriate research instruments for different research scenarios:
(a) A researcher wants to observe and record the behavior of an individual over time – Anecdotal Record (b) An investigator wishes to survey a large group of individuals – Questionnaire (c) A researcher wants to find out how much someone knows about the French Revolution – Achievement Test (d) A researcher wishes to evaluate the quality of a new microwave oven – Projective Test (e) A researcher wishes to get in-depth information from a small group of people – Interview Schedule (Protocol) (f) A researcher wants to gain some idea of how students in a graduate program in teacher education feel about their student teaching experiences – Attitude Scale
Conclusion
This research paper has explored various measurement scales and their applications, followed by a comprehensive analysis of student test scores. The statistical measures provided insights into the variability of scores, gender and class level differences, and offered recommendations for instructors. Additionally, we discussed the selection of appropriate research instruments for various research scenarios. Understanding measurement scales and statistical analysis is crucial for effective research and decision-making in various fields.
Frequently Asked Questions (FAQs)
FAQ: What are measurement scales, and how do they apply to research analysis?
Answer: Measurement scales categorize data into different types, such as nominal, ordinal, interval, and ratio scales, each with specific properties useful for research analysis. They help researchers make meaningful comparisons and draw conclusions from data.
FAQ: How can I calculate statistical measures like mean, median, range, and standard deviation for a dataset?
Answer: To calculate these statistical measures, you can use mathematical formulas or software like Excel. Mean and median provide central tendencies, while range and standard deviation measure variability within the data.
FAQ: What insights can be gained from analyzing student test scores using statistical measures?
Answer: Analyzing student test scores can reveal the spread of scores, gender-related differences, class-level variations, and the overall performance of students. It helps educators and institutions make data-driven decisions.
FAQ: What are the implications of gender-related differences in test performance?
Answer: Gender-related differences in test performance may indicate variations in learning experiences or teaching methods. Further investigation is needed to understand the factors contributing to these differences and address them effectively.
FAQ: How can research instruments like questionnaires and attitude scales be chosen for data collection in research studies?
Answer: Selecting the appropriate research instrument depends on the research objectives and the type of data needed. Questionnaires are suitable for surveys, while attitude scales are used to measure attitudes and opinions. Careful consideration of the research goals is essential in choosing the right instrument.
