BlogguideStatistical analysis techniques 

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1. Statistical analysis techniques  The Test on statistical analysis techniques worth 200 points and will be graded using the designated rubric.  Grading criteria include quality of content, appropriate citations, use of Standard English grammar, and overall organization and readability.
2. Create your assignment using a Microsoft Word application. The document should be saved in a .doc or .docx format.
3. There is no required length but should be specific enough to address all requirements.
4. The following test sections should be included in your Word document that you submit along with the corresponding SPSS output:
   • Descriptive statistics
   • Checking the reliability of a scale
   • Correlation
   • Partial correlation
   • Non-parametric tests
   • T-tests

See below for assignment and see other attachments for sample data sets.  Be sure to read each question well to determine which sample data sets to use. Statistical analysis techniques 

Question 1: Descriptive Statistics

The first step in the analysis of any data file is to obtain descriptive statistics on each of your variables.  These can be used to check for out-of-range cases, to explore the distribution of the scores, and to describe your sample in the Method section of a report.

Use the instructions in Chapter 6 and Chapter 7 of the SPSS Survival Manual to answer the following questions concerning the variables included in the survey.sav data file.

(a) What is the mean age of the sample?  What is the age range of the sample (minimum and maximum values)? Statistical analysis techniques

(b) What is the percentage of males and females in the sample?  Did any of the sample fail to indicate their gender?

(c) What percentage of the sample were smokers?

(d) Inspect the distribution of scores on the Total Negative Affect scale.  How normal is the distribution?  Are there any cases that you would consider outliers?

Question 2: Checking the Reliability of a Scale

• If you use scales or standardized measures in your research (this is common in psychological research) it is important to assess the reliability (internal consistency) of the scores on the scale in your sample. The following exercise gives you some practice in this process.
• Follow the procedure in Chapter 9 of the SPSS Survival Manual to assess the reliability of the following scales. You will need to refer to the codebook in the appendix to identify the items that make up each of the scales (survey.sav page 340).
• (a) Optimism scale (op1 to op6)
• (b) Perceived Control of Internal Stress scale (pc1 to pc18)
• (c) Self-esteem scale (sest1 to sest10)
• You will need to manipulate certain items prior to calculating the scale reliability. These items will require reversing of negatively worded items. Please refer to page 87-88 of Pallant 7th ed. The reason why these items need to be reversed is because some of the responses are worded positively while other items are negatively worded (inverse).
• Read through steps 1-7. Once you recode items 2, 4, and 6, you will then be able to move on to calculating reliability (page 102-103). You will find on page 340 the items that require reversing under the Coding Instructions column.

Question 3: Correlation

Using the data file staffsurvey.sav follow the instructions in Chapter 11 to explore the relationship between the total satisfaction and age.  Present the results in a brief report.

Use the instructions in Chapter 11 to generate a full correlation matrix to check the intercorrelations among the following variables.

age
city
service
employment status

Question 4: Partial Correlation

Follow the procedures detailed in Chapter 12 of the SPSS Survival Manual to calculate the partial correlation between total satisfaction and city while controlling for the effects of age.  Compare the zero order correlations with the partial correlation coefficients to see if controlling for age had any effect. Statistical analysis techniques

Question 5: Non-Parametric Tests

Using the depress.sav data file, choose which statistical test(s) you should use to compare each of the variables.  Explain your thought process in choosing the appropriate statistical test.

Question 6: T-Tests

Using the sleep.sav data file, run the appropriate T-test(s) to determine how the means of each variable compare to the total variable (totsas).

In the following section of the test, you will use the sleep.sav data file to compare the means of the following variables and compare them to the totas (Sleepiness and