Kassie Gilliam

Hi, my name's Cassie Gillam.

And today we're gonna talk about what makes a person

to go to researcher.

And furthermore, how do we search through all of this

information to find the right sources and know what data

collection types use.

I'm going to answer those questions for you.

So let's jump right in.

So what are attributes of a good researcher?

So, first of all, there are so many different attributes

to a good social region.

One thing and I'm not going to go through and

read this whole thing.

I'm gonna let you read it.

But I'm gonna point out some things.

So the principle of integrity directs a sociologist.

Be honest there and respect.

If you think about those three games, If a good

researcher is that those things, then their results are going

to reflect.

And if they're not honest and they're not fair, what

is what's going to say to the research, you know?

So also another one.

I wanted to point out the fourth principle respect for

people's rights, dignity, and diversity.

So a good researcher is diverse.

They put their on beliefs aside and they do the

research to find out about people's diversity.

And basically they look at their research from an outworld

perspective looking in and they do not put any of

their own I guess uh huh bias that you get

biased would be the word.

They don't put any of their own bias into their

research. And that's a very another key important thing about

a good researcher is their self aware of their own

biases. And down here you'll see it talks about that.

So when you have respect for people's rights in people's

dignity and their diversity, it helps to reduce that chance

of bios.

So a good researcher, we'll identify and develop their topic.

And a good researcher also do a preliminary search.

A preliminary search will let him know what information and

what sources are out there.

And by doing that they can better get a grasp

of what type of re stress response research question they

wish to ask.

But how do they know when we have enough data?

One way that a good researcher can figure out if

they have enough data data is by measuring the validity

validity. When our conclusions about an empirical reality are correct.

That means that we have reached validity and the lid

it is basically showing improving your hypothesis.

And that is another.

That's one key way that uh researcher can know that

they have got enough information if they can answer their

question in full.

So how do I know and check the integrity resources?

That's a good question.

Because how do we know that the sources that we're

using are incredible.

How do we scrutinize that?

I well I'm gonna tell you how I use I

use the crab analysis which looks at three at least

five things.

First. Its currency.

When was that information published?

So if you're looking at something from 1800 it could

be a primary source Or it could be a bunch

of different.

However. You want to look at the date that the

information is published in relevance to what it's saying.

If it's telling you about a microwave in 1801, you

know that that is probably not factual information.

So next it's relevant.

Does the information related to your topic does answer your

question? That's another big thing.

If you've got a source telling about chocolate ice cream,

but you're looking in the sociology, I expect the things

you're not, it's not relevant.

So next authority, who's the author?

Who is the publisher source sponsor.

You want to make sure that the author's credentials are

good. You don't want to be using sources from facebook

or something like that.

You want to make sure that the author's credentials are

worth Using in your research.

So in the last two is accurate accuracy and purpose.

Where does the information come from?

Is the information supported by evidence as the most important

thing we know you're looking for sources.

You want to make sure that your sources have been

supported by evidence.

You want to look for studies and research that has

been reciprocated.

That has been really done to make sure that those

results are accurate and messes the purpose.

What is the purpose of information?

Is it to inform, teach cell the crab analysis is

a great way to scrutinize and really check the credibility

of the data that you're receiving from these sources.

So now let's talk about data collection types.

So there are several different types of data collection methods.

So qualitative data is a way of collecting that yields

results such as words, pictures, quantitative.

On the other hand, summary represented and condensed into numbers

and other hand result that can be convinced as well.

So for qualitative the most common of those data collection

methods would definitely have to build research intensive interviews and

focus groups.

And for quantitative definitely surveys would be the most popular

of the two.

Let's pull up this right here.

So this is the quantitative data research methods over here.

In the right.

I have the most the five most popular which as

I said before interviews, probability sampling surveys and questioning observation.

So surveys are probably most commonly used because they are

used so frequently in schools and other places I mean

and the you have a set set of answers.

You do not have to change what's already on the

paper. And its very it's a very simple process.

So I would say that that would be why surveys

will be the most popular of the quantitative methods when

it comes.

And it really in a way it helps to eliminate

bias because everybody, the only thing you have to worry

about is response by us because if only the people

that respond which will get onto this here in just

a little bit.

If only the people that respond are ones that believe

in the cause then your data is going to be

scared because you didn't have a a very big audience.

I guess legally best answer enough.

So let's go to qualitative and like right here.

So qualitative data collection methods and interviews asking open ended

questions verbally to respondents, focus groups and the least common

of the qualitative methods would be ethnography participating in a

community or organization for an extended period of time to

closely observe culture and behavior.

I would say that that would probably be the the

late the least used of all of the data collection

methods versus um focus groups and interviews being the main

one. Just because not it's not often that a person

can take time out and go put themselves into another

setting for a long period of time just to observe

behavior. Now there are some, there are several situations where

that is done on purpose.

That is the main goal of the research.

But as I said before, another two things I want

to talk about is uh credibility.

So credibility of.

First the accuracy of the results and the degree to

which participants view them as important and believable qualitative researchers

will often consultant participants before finalizing and publishing the results

to make sure participants agree with them.

They may also ask from assistance from other qualitative researcher

review or audit their work as you might expect.

It's difficult to be your own research without bias.

So another set of eyes is helpful.

And when you're talking about quantitative quantitative questions must contain

an independent variable and the dependent variable.

And they should ask about the relationship between the two

variables. So basically my standard format for an explainer explanatory

quantitative research question is what is the relationship between the

independent variable and the D.

Tender and the dependent variable for the target population?

And often as I said before client stated data is

often it often uses numbers and the data is a

lot of the times turn into numerical form.

Where is qualitative you're asking any questions and it's a

lot more personal aspect.

So now let's talk about my research and the river

through and talk about each type of data collection method.

Because I have a article for each one represented the

first one right here is going to be quantitative.

This article is about how using the disease model has

affected primary care patients.

And using research in the form of surveys.

As I said before, they took the data from the

surveys and put it into an american forum giving a

quantitative answer on how accusing the disease model.

Which means looking at addiction in the form of the

disease has affected primary care.

Have a 74 quantitative uses surveys, experiments, observations.

What about qualitative?

So this qualitative research project on which historical is based

were designed together personal accounts for a presentation on web

best web based resource for addiction experiences.

So basically this Research article consisted of 60 people being

interviewed, a very in depth and that's the thing the

qualitative research does not require as many responded it as

quantitative research.

So next I have my mixed methodology research right here

and all of these are staying in line with stigma

and how it relates to addiction because my field of

services is in that area.

So this one this article is just mixed methodology in

order to show the effects of stigma reducing program named

Robin. This article you suspend quantitative and qualitative research and

it does that in the form of qualitative measures were

using the form of focus groups based off of the

answers and information given from the quantitative questionnaires.

All of these articles and all of these methods, all

of these have influence on the basis of my research

question, which my research question is.

In what way has the stigma surrounding addiction affected those

in treatment and those giving treatment?

But what poses a threat to your research?

So, let's talk about that bias bias and research.

So there's three different types of bias I want to

talk about.

So sampling bias occurs when the elements selected for inclusion

in the study do not represent the larger proper population

from which they are drawn.

So basically, if you have one out of nine chance

and it just so happens, there's always going to be

At least one right answer that matches your overall no,

But if there's more wrong answers, that right answers and

you only mentioned the right answers.

That's sampling bias.

What about researcher bias?

Researcher bias occurs with the perception the preconceptions of a

researcher either intentionally or more typically unintentionally shape their findings.

This is a big one.

Researcher bias can have a huge effect and as a

attribute of a good researcher, researcher bias should be something

that's always in the back of your mind.

So non response bias, I talked about this one earlier.

So the possible result of having too few sample members

returned completed questionnaires.

So basically, if you're like you if you're asking how

many people like ice cream and only the people that

lags ice cream answer and you have no one that

doesn't like ice cream.

There's gotta be some people out there, you know, there's

lactose intolerant people that don't like ice cream.

So that is how non response bias can affect.

But bias isn't the only threat.

So there are other potential threads to your resources and

those can be cultural awareness humane treatment of your subjects

and unethical structuring of your studies.

So if your subjects like in an inhumane say unhuman

research study, if you're clean, if your research subjects are

afraid of or they're thinking of some impairment.

So they're going that's going to hinder the results that

you get from that research study.

Because those people who are more willing to please cultural

awareness is another one.

If you're not aware of the culture or you're not

aware of the issues that you're addressing or how they've

affected the surrounding area, then there's a high chance that

it could be a threat to your credibility of research.

And last but not least, the disclosure as researchers is

our ethical responsibility to fully disclose all of our information

about our research.

So that way it can be reproduced and by reproducing

it, that is how we know that our findings are

credible and our findings are correct.

So, I want to thank you guys for joining me.

I really appreciate it.

I want to leave you with my references and wish

you all the best today and hope to see you

again soon.

Thank you

Kassie Gilliam

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