As someone with ASD, what about your way of thinking do you feel is most distinct from neurotypicalsu2019 way of thinking?

What i know about quantitative research brainly

There are four ways in which I think my thoughts are most distinct from the neurotypical mind:,My mind is full of noise u2014 I experience what I came to call noise, but which are actually seemingly random fluctuations of thought.

I tried Risperdal for a while.

Although Risperidone was originally used to treat psychotic illnesses such as schizophrenia, in low doses it has been found to help treat the irritability associated with autism spectrum disorder.

Risperdal removed the noise and thus gave me more insight into my mind, because suddenly I had a clear reference point.

I asked my neurotypical brother how he would characterize his thoughts, and he said he could go extended periods of time without having any thoughts.

For me, that is impossible.

I also asked a friend, who reported she experiences a lot of noise in her thoughts.

She was diagnosed with ADD not too long ago.

So truthfully I donu2019t know if experiencing a lot of noise is typical of certain neurological conditions where the mind is very involved, or if I have collected a few anecdotes that just happen to point to a difference between a neurotypical mind and very involved neurological conditions.

I lack sufficient data to draw a conclusion.

In any case, I ultimately stop using Risperdal.

It was a welcome break for my mind for a short while, but I felt it undermined my creative process.

It suppressed my anxiety slightly, but my fluctuating thoughts (as inefficient as they can be) can yield a lot of unexpected results in terms of thoughts and ideas.

,My thoughts can be very abstract u2014 Iu2019m sometimes in such deep thought that Iu2019m no longer conscious of my thinkingu2014or half-conscious.

I call it u201cgoing into the abstractu201d.

During such a state, my environment doesnu2019t consciously register, but when I go out of the abstract, I realize I have registered more than I thought.

One time I was on my way home and in deep thought, and very distantly I heard children, but in reality they were not distant at all; as I walked right passed them I started to get out of the abstract, and I heard one of the children ask his dad (who I did not realize was there until I passed them) why u201cthat man doesnu2019t say hellou201d.

Apparently I was greeted and none of that registered.

The dad responded, u201cI donu2019t know.

Maybe he is upsetu201d.

I thought to myself, u201cIu2019m not upset.

My mind was just gone for a moment, and none of what was occurring in my environment properly registeredu201d.

,I overthink and overanalyze u2014 My thinking is very involved, though not necessarily efficient.

I make a lot of considerations for even the most mundane of tasks.

I will prepare in my head what I will say to a certain person.

I will then keep postponing what I want to say because Iu2019m hesitant to start talking and potentially struggle with what I want to say.

Once I have attempted communication, I will reflect on it for a long time.

I will think about how well the exchange went, what I should have said differently, how my timing should have been different, whether certain words I used were the most appropriate, how Iu2019m being perceived after having exchanged that information etc.

Although it can be exhausting to think so much, I might feel that I would miss something relevant if I did not think for extended periods.

,My mind is full of repetition u2014 My mind cycles a lot through certain thoughts.

My mind brings up certain thoughts or memories I prefer not to think about.

Sometimes I can forget about them for a while, but then periodically they re-appear again.

As such, I can keep thinking about certain things much longer than necessary, and it takes me longer to properly process certain things.

I mean, just now a thought popped into my head which I have not thought about for months, but every few months I think about it again.

Two years ago, a teacher remarked how the parting of the hair of a classmate was straight while mine was skewed.

He used that as an example to make some kind of point relating to design which I cannot remember.

But I certainly remember him telling my parting is skewed! Iu2019ve been quite obsessed with that notion since he said it.

I checked my parting when I got home, and it was straight.

I was significantly confused by the situation, and as such still go over it in my mind, in an attempt to understand.

,What it ultimately comes down to is that my brain makes too many connections.

This is due to a lack of synapse pruning.

When you are young, your synapses go through a pruning process, where the excess synapses are broken downu2014thus streamlining the neurological network.

,Neurons in brains from people with autism do not undergo normal pruning during childhood and adolescence.

The images show representative neurons from unaffected brains (left) and brains from autistic patients (right); the spines on the neurons indicate the location of synapses.

(Image: Guomei Tang and Mark S.

Sonders/CUMC)In people with autism, this pruning process happens to a far lesser degree, resulting in a particularu2014often very involved and quite inefficientu2014way of thinking.

Though, this lack of pruning is consistent in all individuals with autism, the particular configuration of neurons and synapses makes every autistic brain distinct.

Hence, I was curious how other people with autism think, and the extent to which there are commonalities in their thinking patterns.


What are the characteristics of quantitative research

Quantitative research consists of research that counts, enumerates and mathematically analyzes certain features of a problem of interest.

There are two main kinds, descriptive and inferential.

In descriptive research, we generally conduct tests on the entirety of a population, in cases where this is small enough to be practical.

Any analyses we make are not subject to interpretation, because they are mere descriptions of what exists (assuming that they are accurate).

,In inferential statistics, we fairly and equitably sample either a random fraction of the general population, or we actively seek a sample of that population, generally one that has demographic or psychographic characteristics that we wish to isolate and analyze.

We then make generalizations from that analysis to every member of that population of interest.

Studies show that the bell curve explains the distribution of many kinds of differences in human affairs.

The bell curve, or Gaussian curve permits many of the most common kinds of statistical analyses of an inferential nature, because many kinds of data about people correlate quite reliably with other data.

Higher education reliably predicts income.

Excessive television use tends to predict lower civic participation.

Quantitative research methods

Quantitative research uses scientific, measurable, and computational tools to derive results.

This structure makes conclusiveness to the purposes being examined as it evaluates issues to see how common they are.

It is through this procedure that the research makes a projectable result which applies to the larger general population.

Rather than giving a subjective review like qualitative research offers, quantitative research identifies structured circumstances and logical results connections.

When the issue is identified by those engaged with the study, the factors related to the issue become conceivable to recognize too.

Experiments and studies are the essential tools of this research strategy to make specific results, even when independent or interdependent factors are available.

Listed below are the quantitative research pros and cons to consider.

,List of the Pros of Quantitative Research,Collection of Data occurs fast with quantitative research,Since the data points of quantitative research include reviews, analyses, and real-time gathering, there are few delays in the collection of materials to look at.

That implies the data under examination can be analyzed in all respects immediately when compared with other research strategies.

The need to isolate frameworks or identify factors isnu2019t as common with this choice either.

,Quantitative research samples are randomized,Quantitative research utilizes a randomized procedure to gather data, preventing bias from going into the data.

This irregularity makes an extra preferred standpoint in the way that the information provided through this research would then be able to be measurably connected to the rest of the population assemble which is under study.

In spite of the fact that there is the likelihood that a few demographics could be forgotten regardless of randomization to create errors when the examination is connected to every one of, the results of this research type make it conceivable to gather much-needed information in a small amount of the time that other strategies require.

,Repeatable and reliable information,Quantitative research approves itself by offering predictable outcomes when similar data points are analysed under randomized conditions.

In spite of the fact that you may get diverse rates or slight changes in different outcomes, repetitive data makes the establishment for certainty in future planning forms.

Businesses can tailor their messages or programs dependent on these outcomes to address explicit issues in their community.

The statistics turn into a reliable resource which offers certainty to the decision-making process.

,List of the Cons of Quantitative Research,Difficult to follow-up on answers in quantitative research,Quantitative research offers an important limit: you cannot go back to participants after theyu2019ve rounded out a review if there are more things to ask.

There is a constrained opportunity to test the appropriate responses offered in the research, which makes fewer data points to examine when compared with different strategies.

There is as yet the benefit of anonymity, yet on the off chance that a review offers uncertain or questionable outcomes, there is no real way to confirm the validity of the information.

If enough participants turn in comparative answers, it could skew the data in a way that does not make a difference to the all general population.

,Participantsu2019 characteristics may not be applicable to the general population,There is always a risk that the research collected utilizing the quantitative strategy may not make a difference to the all-inclusive community.

It is easy but difficult to draw false relationships on the grounds that the data appears to originate from random sources.

In spite of the efforts to prevent bias, the characteristics of any randomized example are not guaranteed to apply to everybody.

That implies the main certainty offered to utilize this strategy is that the information applies to the individuals who take an interest.

,Answers cannot be determined if they are true or false,Researchers utilizing the quantitative strategy must work on the assumption that every one of the appropriate responses provided to them through overviews, testing, and experimentation depend on an establishment of truth.

There are no face-to-face contacts with this technique, which implies interviewers or researchers canu2019t check the honesty or authenticity of each outcome.