Generate a research problem idea (it’s okay to start broad)

Part 1

1. Generate a research problem idea (it’s okay to start broad) and explain why you picked such research topic/idea. 

2. Now that you have a research problem, let’s go through the ‘shaping’ process. 

 Narrow the scope (be as detailed as you can). 

 Specify and explain at least 2 concepts that is relevant to your research problem.

 Operationalize your research problem, by providing measurable factors. 

 What is the unit of analysis for your research problem?

 Conduct a literature review and write down one useful piece of information about your research problem from each credible source: scholarly journal article & website (make sure to have a reference of your source) 

3. Which of the two general different approaches to research (i.e., deductive reasoning & inductive reasoning) would you choose your research problem? Explain Why? 

4. Now that you have thought through more thoroughly about the first steps of the identifying and shaping a research problem, think about your research problem, and write down your research question (research question is a question that a research project sets out to answer – should be more somewhat detail). 

5. Which methodology (i.e., quantitative or qualitative) would you choose to answer the research question? Provide a detailed rationale to support your decision. 

6. Which method would you choose to gather the data? Provide a detailed rationale to support your decision. 

7. Would you adopt a cross-sectional or longitudinal research design? Provide a detailed rationale to support your decision.

Part 2

Initiative to Address Risky Behavior on Spring Break

Skim these articles to familiarize yourselves with the issues: 

Read this article from the March 8th 2019 edition of the Washington Post: 

https://www.washingtonpost.com/education/2019/03/09/is-spring-break-safe-public-officials-warn-college-students-increased-danger-vacations-begin/ 

1.The Situation: 

You are the Assistant Vice Chancellor for Student Affairs at CSUEB and one of your areas of responsibility is student well-being, which cuts across many units at the CSUEB. Several years in a row, you and your colleagues have noticed increased rates of sexually transmitted diseases as well as concerns from different departments about physical and emotional difficulties and challenges reported by students during Health Center and Counseling Center visits and from the various student affairs organizations that report to you. 

Some students shared with their counselors, advisors, and medical providers that spring break is perceived as a perfect time for travelling to warm, sunny, beachy destinations (e.g., Cancun, Mexico, Miami Beach and Panama City Beach, Florida) where wild parties, binge drinking, drugs, and various forms of sexual risk-taking occurs. Similar to the famous saying about Las Vegas, there is a norm among spring breakers that ‘what happens on spring break stays on spring break’. This idea of being free of expectations and norms of everyday life (e.g., free from the CSUEB Student Code of Conduct, free from expectations of parents and other caring adults, and being free from everyday expectations and social norms of campus and adult life) can lead to some spring breakers to let loose, experiment, and engage in risky sexual activity, risky alcohol and drug taking, and other risky behavior (e.g., streaking, skinny dipping, midnight swims w/scary encounters sea life like sharks, eels, near drownings, passing out in public places where they can be robbed, mugged, or sexually assaulted, car surfing, etc.) they normally don’t engage in during “everyday life.” 

All of these risky behaviors could have unintended serious consequences (e.g., physical injury, emotional and social harm, trauma, death, terror) that last longer than the trip does, and they could spill over to campus everyday life after the trip/experience is over. Some of the same issues have been raised regarding unintended consequences of Super Bowl tailgate. 

2.Strategies to Promote Health, Safety and a Caring Community = “See Something-Say Something, Do Something” 

You and your colleagues want to develop an initiative on campus that boosts support for people who experience the unintended consequences of Spring Break and Super Bowl tailgate Shenanigans/Debauchery. Even witnessing an event (an accident that results in serious injury or death) can cause emotional problems including PTSD. You and your colleagues feel students can and should be armed with strategies to help each other see warning signs (to prevent issues, injury, trauma, sexual misconduct, crime) and they can learn strategies to help each other avoid the worst things from happening more effectively (even when under the influences of substances themselves). There is a proposal to develop a health promotion/education/self and community care initiative called “see something, say something, do something.” Before you begin discussing and building this initiative, you and your Task Force feel you need to get more information to better understand how much of an issue these “unintended consequences and issues are on campus” as a result of spring break and Super Bowl tailgate. 

3.Stakeholders who comprise this Campus Task-Force

You have gathered key staff from student affairs and health services for a brainstorming meeting. There is a collective sentiment that spring breakers and “tailgators” need more education and support to mitigate and help students develop self-management, prevention and coping strategies when confronting and dealing with any difficulties associated with spring break related incidents. 

Invited to the meeting are Student Affairs representatives from the following campus organizations: 1) Health Services, 2) Counseling Services, 3) Campus Recreation Services, and other student affairs units that directly support student well-being such as: 

a. Black Greek Council 

b. Inter-Fraternity Council 

c. Panhellenic Council 

d. United Greek Council 

e. Minority Student Affairs

f. Registered Service Organization Director

g. Division of Housing Staff (for RAs, RDs, etc.)

h. Office of Student Conflict Resolution (OSCR): respondents and complainants involved in any campus/community issue involving the student code (substance abuse, sexual misconduct, assault/battery/violence, etc.) is reported and handled through this office. They have data on occurrences and instances of this. Doesn’t have to take place “on campus” for them to reports of these instances.

The Task at Hand: 

During the meeting, a few people suggest that it could be helpful to conduct a survey of students regarding spring break behaviors, attitudes, feelings and experiences. This survey could help the Task Force understand how big of an issue this is. The Task Force also discusses surveying leaders of stakeholder organizations who are “in the know” firsthand about how frequently these issues arise and how severe they are (or are not). 

[Survey Approach]

One staff member asserts the survey should be sent to all 15,000 undergraduate and graduate students (including students enrolled in online graduate programs) to be able to infer anything about and to generalize to the entire student population. As the chair of the Task Force, you ask the group if it is necessary to send a survey to the entire CSUEB student population. As the discussion ensues, you and your team discuss the following questions to determine next steps in the process:

1.In this case, why should I implement probability sampling over non-probability sampling? 

2.Will I need a sampling frame? Why? If yes, what kind and how am I going to obtain it?

3.Among the 4 probability sampling techniques learned in class, which one should be implemented to gather a sample? Also, please explain the process of gathering a sample using the chosen sampling technique. 

4.How large does the sample need to be? What considerations would guide my decision about the size and composition of the sample? 

[In-depth Interview Approach]

You and your task force decide that interviews should be done with leaders from key stakeholder groups (see #3 a-h above for a list of key stakeholder groups from within the university. 

1.What other stakeholder groups from outside of the university (especially as it relates to Super Bowl) would you benefit from interviewing? 

2.In this case, why should I implement non-probability sampling over probability sampling? 

3.Will I need a sampling frame? Why? If yes, what kind and how will your task force obtain it?

4.Among the 4 non-probability sampling techniques learned in class, which one should be implemented to gather a sample? Also, please explain the process of gathering a sample using your chosen sampling technique. 

5.How large should my sample for these interviews be? What considerations would guide your decision about how large the sample should be for this part of the project?

  • Module4-PopulationSample.pptx

  • Module4-ProblemFormulationandQuant_QualData.pptx

PART 1

Population

Population = entire set of entities

Sample

Sample = subset of the population

Sampling

Population

Sampling is the process by which a researcher selects one or more cases out of some larger grouping for study.

Sample

Sample

4

5

Practice Question:

Which one of this sentence is correct?

Administrators at CSUEB surveyed 100 randomly selected seniors to see how they feel about Pioneer Dining.

The population is all CSUEB seniors; the sample is all of the seniors.

The population is all university seniors in the U.S.; the sample is all CSUEB seniors

The population is all university seniors in the U.S.; the sample is 100 CSUEB seniors

The population is all CSUEB seniors; the sample is 100 CSUEB seniors

Which one of this sentence is correct?

Administrators at CSUEB surveyed 100 randomly selected seniors to see how they feel about Pioneer Dining.

The population is all CSUEB seniors; the sample is all of the seniors.

The population is all university seniors in the U.S.; the sample is all CSUEB seniors

The population is all university seniors in the U.S.; the sample is 100 CSUEB seniors

The population is all CSUEB seniors; the sample is 100 CSUEB seniors

6

Why Sampling?

Population

All possible cases of what we are interested in studying

Feasibility

The whole group is sometimes too large to study everyone

Data quality

Information based on carefully drawn samples can be better than information from an entire group

Why 1000 samples can be more accurate than 10,000 samples  some voices is better heard in a smaller sample

Ex) college undergraduate students who are in their 30s

Quality  census for example, asking so many questions with relatively less researchers in charge

7

Sampling Frame

A sampling frame is a list of all the items in your population.

Does the sampling frame include all members of the population?

How will you gather sampling frame?

Ex: iPhone users

AppleCare list

iTunes

Access to serial #

Complete list of everyone or everything you want to study

EX) population = people in RST 370, sampling frame =

Population = All the iphone users, sampling frame =

8

PART 2

Sampling Approaches

Probability = every unit in population has the same chance of being chosen for sample

Nonprobability = every unit in population does NOT have the same chance of being chosen for sample

Probability Sampling

No inherent selection bias

Sampling error: an estimate of the extent to which the values of the sample differ from those of the population

Probability sampling = minimizes the sampling error

Good sampling frame is important when collecting probability sampling

Target population – 1,000

Probability of getting in the sample – 1/1,000

Probability Sampling Techniques

Simple random

Systematic random

Stratified random

Area

Simple Random Sampling (SRS)

Each unit of population has equal chance (probability) being selected

How to select …

Each unit pulled “out of the hat”

Computer programs for random selection http://www.randomizer.org/

Table of random numbers

Try to pick 5 States using the simple random sampling

SRS has the lowest sampling error

Systematic Random Sampling

Variation on simple random sampling involves taking every kth unit listed in a sampling frame

First start = randomly chosen

Systematic Sampling Example

Every

5th case

How do we decide K? in Kth people? 1000 / 100 = 10 , K=10

For SRS and systematic random = sampling frame list must exist

Stratified Random Sampling

Stratified sampling involves dividing the population into smaller subgroups, called strata, and then drawing separate random or systematic samples from each of the strata.

Strata ex) gender, school, region

3. Stratified random sampling

15

Stratified Random Sampling

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Types of Stratified Sampling

Proportionate Sampling:

The size of the sample from each stratum is proportionate to occurrence in the population

Goal is to reduce sampling error

Disproportionate Sampling:

Sufficient proportion is selected from each sample to make statistical comparisons

Goal is to have representative sub-sample for each stratum

Proportionate sampling: the strongest with the reducing sampling error

Why disproportionate? Why we choose this over proportionate?

It could be more accurate  when?  minority group

17

Identify sampling technique used Answer
1. Major concentration divided into four tracks: recreation, sport, tourism, and leisure. Names in all tracks alphabetized and 100 names randomly chosen from the list.
2. Names of all majors alphabetized. Someone randomly chooses one name on the list to be surveyed. Move down two names from first person chosen, and this person is chosen. Continue this pattern until 111 names chosen.
3. Name of each major put in paper bag. Person removes one name at a time until 129 names chosen.

What Kind of Probability Sample?

Stratified random

Systematic random

Simple random

18

Area Sampling

Area sampling is also called “cluster sampling” or “multi-stage sampling.”

Clusters are similar (while strata are different)

Process:

Cluster sampling divides the population area into sections (clusters)

Then randomly selects clusters

Then chooses all the members of those clusters

Cluster Sampling divides the populartion area into sections (clusters) then randomly selects clusters and chooses all the members of those clusters.

19

Activity

Population

?

?

Cluster sample (left side)

Proportionate stratified sampling (right side)

20

Population

Activity

?

?

Disproportionate stratified sample (right)

21

Probability sampling techniques

Summary/review/refresher:

22

How Large a Sample?

How many cases are needed for the research hypotheses?

Precision:

how much error can we accept?

Population homogeneity:

the more variability in the population to be sampled the larger the sample required

Sampling Technique

stratified sampling => smaller sample

area sampling => larger sample

Sampling fraction

23

Sampling fraction = ratio of sample size to population size, stratified case = sample size to strata size

23

PART 3

Nonprobability Samples

Probability of each population element's being included in the sample is unknown

Uses:

No intent to generalize

Qualitative study (small sample size)

Impossible to develop sampling frame

Limitations

Cannot specify representativeness

Degree of sampling error is unknown

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Non-probability Sampling Types

Convenience sampling (accidental or haphazard sampling)

Volunteer-based sampling => volunteer bias

26

Convenience – sample drawn from the part of the population that is close to hand (e.g., sns, resources around us)

It is often used for pilot study to obtain basic data and trend

Volunteer – participants self select to become part of the study (e.g., call from radio station, or a booth at a rest area)

Limited amount of number

26

Non-probability Sampling Types

Purposive (or judgmental) sampling

Snowball sampling (interactive sampling): rely on interaction of persons to generate sample.

27

Purposive – researcher rely on their own judgement when choosing members of the population to participate in study

Participants with unique or special characteristics, (e.g., age, health status, background, past experience)

Snowball –

27

Situation Sampling technique being used
1. Set up tables outside public rest stop and ask people to complete survey.
2. Form committee of park system’s mid- and upper-level managers to come up with ideas to make park more appealing.
3. Staff report few young adults (18–21 years) visit their nature centers. You observe a young adult visiting a nature center and ask that person to complete an interview. You also enlist that person to provide you with the name of another young person who he knows visits nature centers in the community.

Directions: Identify the nonprobability sampling technique being used.

What Kind of Nonprobability Sample?

Volunteer

Purposive

Snowball

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Non-probability sampling techniques

Summary/review/refresher:

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Unit Two: Data Collection

Problem Formulation

Quantitative and Qualitative Data

Now we are finished with unit 1 which was the foundations for evaluation and research. So, we sort of concentrated on evaluation on our first unit. Starting from unit two, we will look into how we can collect, analyze, and report the data. And we will be looking into these from more of a research context than an evaluation context.

So, this week we will talk about problem formulation and quanitatiave and qualiatative data.

1

Generating Research Problem Ideas

Personal interest

Current social problems

Utility in testing a particular theory

Addressing prior research limitations

Determine program effectiveness

Well, first the problem formulation is important because that is the very beginning process of a research.

Research problem or research question is something that you come up with that you are interested and want to research about. The very first step of coming up with a research question or statement is to generate research problem ideas.

Research ideas can come from many sources.

Personal interest – important (intrinsic motivation) ex) older adults

Current social problems – where people’s interests are, more interest = more funding opportunity, may provide some answers to solve current issues

Theory – theory used and tested in psychology fields among college students, but not in leisure context for specific population

Limitations – locations, specific population only, gender,

Program – evaluation research

2

Two Different Approaches to Scientific Research

Deductive Reasoning

Inferring a conclusion from premises or propositions

If the theory is correct, then hypotheses logically derived from them are correct

Inductive reasoning

Building theory from the data.

Inferring something about a whole group from one or a few members of the group

There are two different approaches to research.

Deduction – process of going from abstract/general to specific, from theory to the data, top down

When wanting to test something that already exist in your specific context, there exists a theory that you may think fits well with your topic, examine

Example, Leisure perception and attitudes towards retirement

Induction – from specific to general, bottom up

– working from the data to the theory, building the theory

When relatively less is known about it, unsure of what theory to use, explore

3

Theory

Operational Definitions

Hypotheses

Observations

Research

Findings

Induction

Deduction

Hypotheses = IV  DV

4

Shaping the Research Problem

Narrow the scope

Specify concepts

Operationalization

Literature review

Unit of analysis

Now you have a research problem idea and you know two different approaches to research, next step is actually shaping the research problem.

First, it is important to Narrow the scope and specify concepts – oldest olds’ physical? Cognitive? Mental? Also quality of life, healthy aging, oldest adults’ cognitive ability,

Next is Operationalization – defining variables that is not directly measurable into measurable factors EX) in medical related fields “health” can be operationalized by such indicators: body mass index, tobacco smoking, etc.

5

Review of the Literature

Findings and conclusions

Theories and concepts

Measurement procedures and operational definitions used in previous research

Sampling strategy

Statistical technique

6

IV  DV

6

Review of Literature

Using the credible information is IMPORTANT!

Credible source

Journals

Websites from credible institutions (Mayo clinic, World Health Organization, etc.)

The date/year

Avoid using blogs, posts, Wikipedia …

Definition of credible source depends on the audience, the topic, and the discipline

7

Units of Analysis

Specific objects or elements whose characteristics we wish to describe or explain, and about which data will be collected.

“who” or “what” of the study

Individuals

Groups

Organizations

Programs

What will be the unit of analysis?  when comparing two different nursing facility for example, unit of analysis would be nursing facility

Able to access particular caregiver/physician or older adults more deeply – studying specific caregiver members  unit of analysis is specific caregiver

Individual? Which individual? Community? Which community? Etc.?

Unit of analysis is who or what of the study

Quiz for example  unit of analysis is individual (everyone in the class)

Group work  Unit of analysis is group

8

Reactivity

Reactivity refers to the fact that people can react to being studied and may behave differently from when they don't think they are being studied.

Social desirability

People may behave in a manner that they think will be viewed favorably by other people …

So we have talked about narrowing down the research idea so you can form a specific research question.

Another thing I want to talk about when thinking about research is reactivity. We are familiar with reactivity from our past CGE when we talked about the ethical issues.

What if my friends are better than me?

I know someone from this research team, I want to help them or the other way around

9

How can we minimize reactivity?

You are conducting an interview with a teenager to explore the relationship between academic success and deviant behavior

You are conducting a pre and post survey in an intervention study (balance training program for older adults)

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