When data is collected, its raw form can look varied and confusing—completed surveys, scored assessments, pages of transcribed conversations, observational notes, words, numbers, or a collection of these.
At the beginning, provide the following information:
- Clinical area of concern—substance abuse.
- Clinical intervention—CBT intervention.
- Quantitative research question OR qualitative research question.
Qualitative: Does health-risk sexual behaviors influence substance abuse among adolescents?
Now describe the step-by-step data analysis procedure you are using for your proposed program evaluation project. Use the peer-reviewed journal articles you located in the Library Search to support your decisions as you answer the following:
What are the data analysis procedures (using both descriptive and inferential statistics) for the quantitative component of the program evaluation project?
What are the data analysis procedures for the qualitative component of the program evaluation project?
Please consider when identifying the support for the use of the data analysis procedure within the literature that support can be either:
Demonstrating how these studies used similar data analysis procedures.
How that article explains that other procedures would not be appropriate.
350 words or more, with scholarly peer references, please no quotations© BrainMass Inc. brainmass.com October 10, 2019, 7:28 am ad1c9bdddf
(1) What are the data analysis procedures (using both descriptive and inferential statistics) for the quantitative component of the program evaluation project?
The main purpose of descriptive statistics is to summarize and display the data. The objective is to use descriptive terms to assess and describe the sample or population you are working with as opposed to using numerical values. Descriptive statistics are designed to provide information on the distribution of the variables. A distribution may be defined as a set of test scores assessed for recordingm or study. The scores in the distribution are referred to as raw scores (Cohen & Swerdli, 2005). For example, you may be using an interview to assess what percentage of adolescents with risky sexual behavior abuse substances.
Inferential statistics make up your quantitative analysis. Inference statistics involve such procedures as: (a) making inferences, (b) testing hypothesis, (c) determining relationships, and (d) making predictions. In essence, inferential statistic involves inferring information from data obtained from a sample and applying it to a population. By contrast, descriptive statistics consists of describing a population from a measure taken from a sample.
Quantitative Data and analysis
As noted, inferential statistics makes a statement about a population based on results from a sample taken from the population. Thus, inferential statistics usually include data such as F tests, t-tests, degrees of freedom, probability (p) value, etc. Describe the methods that will be used in collecting and analyzing the research data. For instance, you might state that several procedures such as: (a) research design, (b) justification for sample size, (c) participants and ...
This solution describes the procedures of data analysis.