A Solution to Conduct A Chi Square Test Assignment Using SPSS

Assignment Instructions

Questionnaire Guidelines – Creation, collection, input & analysis of a research topic.

1. You are required to produce a report based on the results from a questionnaire designed for the purposes of this assignment, keeping it a simple, harmless topic.
2. The questionnaire should be based on a topic of your choice. You must agree on the topic with your workshop tutor BEFORE you actually interview any respondents.
3. The questionnaire should include a title and a brief introductory statement outlining the topic and must be respondent self-completion.
4. Include a minimum of 10 questions in the questionnaire, each of which must count as a variable. One question must be on gender and one on age. Age must be measured in exact years. The remaining variables are dependent variables and should contain a mix of ordinal, nominal, and interval variables.
5. Conduct the questionnaire on no fewer than 20 respondents (e.g. 10 male and 10 female). You should explain the purpose of the questionnaire to each respondent and seek her/his agreement to participate. It is the right of the respondent to refuse your request and under no circumstances must you pressurize them into partaking. Your sample should be friends and family or other students over the age of 18.
6. Gender & age are your I.V. (Independent variables) as you will be comparing male & female, & age responses.
7. Using the “transform” tag create a new variable: age ranges (for example, young (0 - 35), middle-aged (36 – 64), and old (65 upwards).
8. Enter the data from your questionnaire into SPSS and carry out the following

types of analysis on your data set:

• Frequency distribution for each of the variables, including the new age variable.
• The appropriate MCT for each of the variables.
• Mean, standard deviation, median, mode, and range for original age variable.
• Cross tabulation of each of the dependent variables (Row) by gender and age recoded variable (I.V., Column, Manipulated). For each cross-tabulation include both a relevant test of statistical significance (Chi-Square) and a measure of association (phi / Cramer’s V).

9. Create a Questionnaire Results file on a word document.

• The SPSS output presents a table or chart for each of the frequency distributions and the cross-tabulations.
• All tables and charts must be numbered and labeled.
• Each table and chart must have a short interpretative description decoding the results of that table or chart. State what the chart says, means, and or highlights.

Assignment Solution

Statistical Analysis of Benefits of Exercise on Well Being

Introduction

The positive role that physical exercise can play in human well-being and the treatment of a range of medical conditions has received a great deal of attention over recent years, with numerous high-profile reports supporting the popular message that exercise is good for the human body. In addition, research has identified the long-term protection that regular exercise affords against a plethora of somatic complaints, including coronary heart disease, hypertension, a number of cancers, diabetes, and osteoporosis. Unfortunately, while the somatic benefits associated with physical exercise are well documented, hard evidence to support an equivalent relation between exercise and human well-being is less plentiful. The purpose of the present study is therefore to explore the association between gender, age physical exercise frequency, and a number of measures of well-being.

Source of Data

The data used for this study is primary data collected by administering a questionnaire to the respondents. Various questions on age, gender and exercise frequency, and a number of measures of well-being were answered. The data were coded and analyzed using SPSS.

Descriptive Statistics

Frequency Distributions

Activity level

Importance of exercise

How often exercise

Sleeping better after exercise?

Do you compare yourself to others?

Satisfaction with your life

Define your mental health status

The measure of Central Tendency

The table below gives the summary of each question included in the study, their level of measurement, and the appropriate measure of central tendency. The appropriate measure of tendency used for scale measurement is mean, nominal measurement is mode and ordinal measurement is Median.

The tables below give the descriptive statistics for the age of the participants

Age